10584025 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) 8300307 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 0.6168701963413356 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 237 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 11 19040 random_state 19900 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3526159516896706 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 22094318 description https://api.openml.org/data/download/22094318/description.xml -1 22094319 predictions https://api.openml.org/data/download/22094319/predictions.arff area_under_roc_curve 0.9235790412045681 [0.923579,0.923579] average_cost 0 f_measure 0.8620559097999952 [0.903142,0.76315] kappa 0.6663081953523502 kb_relative_information_score 0.5538163440779753 mean_absolute_error 0.18434817324497527 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8625092524056255 [0.907281,0.754729] number_of_instances 5404 [3818,1586] precision 0.8616849029588732 [0.89904,0.77176] predictive_accuracy 0.8625092524056255 prior_entropy 0.8731822780289229 relative_absolute_error 0.4444955024747935 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.31490154283522404 root_relative_squared_error 0.6915451966718501 total_cost 0 unweighted_recall 0.8310050883945894 [0.907281,0.754729] area_under_roc_curve 0.9152919095129901 [0.915292,0.915292] area_under_roc_curve 0.9364812802528895 [0.936481,0.936481] area_under_roc_curve 0.9282903618821825 [0.92829,0.92829] area_under_roc_curve 0.9186670618064473 [0.918667,0.918667] area_under_roc_curve 0.8928772615812843 [0.892877,0.892877] area_under_roc_curve 0.9297004440320763 [0.9297,0.9297] area_under_roc_curve 0.9427563125455629 [0.942756,0.942756] area_under_roc_curve 0.930918218569819 [0.930918,0.930918] area_under_roc_curve 0.9237854702124498 [0.923785,0.923785] area_under_roc_curve 0.92099572459103 [0.920996,0.920996] 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 0.8458155829984869 [0.888889,0.742331] f_measure 0.8795149627255897 [0.915254,0.793651] f_measure 0.8618793668658261 [0.904393,0.75974] f_measure 0.8622198313630346 [0.900925,0.769231] f_measure 0.8313241345921084 [0.881046,0.711111] f_measure 0.8755739698610766 [0.912647,0.785942] f_measure 0.8851851851851852 [0.918848,0.803797] f_measure 0.8630456953889296 [0.906049,0.759076] f_measure 0.8544421170227622 [0.898701,0.748387] f_measure 0.8613382648494368 [0.904393,0.75817] kappa 0.6313159175726109 kappa 0.7089158740801444 kappa 0.6642738540496118 kappa 0.6702211529865 kappa 0.5921585552088175 kappa 0.6986004665111628 kappa 0.7226456358936973 kappa 0.665365025466893 kappa 0.6471829924109161 kappa 0.6627677350751936 kb_relative_information_score 0.5221405216515771 kb_relative_information_score 0.5553815001228665 kb_relative_information_score 0.5698352172577449 kb_relative_information_score 0.5467227924639704 kb_relative_information_score 0.4981550748632245 kb_relative_information_score 0.552690302256309 kb_relative_information_score 0.5959026570566867 kb_relative_information_score 0.5754353609891077 kb_relative_information_score 0.5600952696864084 kb_relative_information_score 0.5618458013642335 mean_absolute_error 0.19560505796736072 mean_absolute_error 0.18678909711787317 mean_absolute_error 0.1766843728822676 mean_absolute_error 0.18733446589567213 mean_absolute_error 0.20339091763801856 mean_absolute_error 0.18676914977015374 mean_absolute_error 0.1697778759457844 mean_absolute_error 0.17333634714151128 mean_absolute_error 0.18033854605163077 mean_absolute_error 0.18343919777858855 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 0.8473026960993942 [0.898396,0.724551] precision 0.8792398913471001 [0.911688,0.801282] precision 0.8612269455909745 [0.892857,0.785235] precision 0.863390478735645 [0.909333,0.753012] precision 0.8311731115459641 [0.879896,0.713376] precision 0.8752840230259584 [0.909091,0.793548] precision 0.8851851851851852 [0.918848,0.803797] precision 0.862454693890748 [0.891139,0.793103] precision 0.8537592854264912 [0.88946,0.768212] precision 0.8607080830635901 [0.890585,0.789116] predictive_accuracy 0.844731977818854 predictive_accuracy 0.8798521256931607 predictive_accuracy 0.8632162661737524 predictive_accuracy 0.8613678373382625 predictive_accuracy 0.8314814814814815 predictive_accuracy 0.875925925925926 predictive_accuracy 0.8851851851851852 predictive_accuracy 0.8648148148148148 predictive_accuracy 0.8555555555555556 predictive_accuracy 0.8629629629629629 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 0.4714435643381995 relative_absolute_error 0.4501955043486569 relative_absolute_error 0.4258412915292553 relative_absolute_error 0.4515099417315962 relative_absolute_error 0.4908475792764183 relative_absolute_error 0.4507339172900144 relative_absolute_error 0.4097285188072873 relative_absolute_error 0.4183162521861002 relative_absolute_error 0.43441323409460675 relative_absolute_error 0.44188232028832103 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 0.32633387052696133 root_mean_squared_error 0.30260023967138555 root_mean_squared_error 0.31325992517240453 root_mean_squared_error 0.3229250217095509 root_mean_squared_error 0.34138776274030447 root_mean_squared_error 0.30373520332885295 root_mean_squared_error 0.28968888977356066 root_mean_squared_error 0.3129375595597451 root_mean_squared_error 0.31788451525490313 root_mean_squared_error 0.31535516137712366 root_relative_squared_error 0.7163562499661306 root_relative_squared_error 0.6642570462569769 root_relative_squared_error 0.6876568003768834 root_relative_squared_error 0.708873268957759 root_relative_squared_error 0.7503786986857061 root_relative_squared_error 0.6676174470621558 root_relative_squared_error 0.6367433044088073 root_relative_squared_error 0.6878444523828826 root_relative_squared_error 0.697431036890505 root_relative_squared_error 0.6918816948716645 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 0.8202937205703185 [0.879581,0.761006] unweighted_recall 0.8525058447759228 [0.918848,0.786164] unweighted_recall 0.8260397115479601 [0.91623,0.735849] unweighted_recall 0.8394168395403208 [0.89267,0.786164] unweighted_recall 0.795529856186626 [0.882199,0.708861] unweighted_recall 0.8473556895751873 [0.91623,0.778481] unweighted_recall 0.8613228179468486 [0.918848,0.803797] unweighted_recall 0.8246570349261051 [0.921466,0.727848] unweighted_recall 0.8188481156836527 [0.908136,0.72956] unweighted_recall 0.8240974595156737 [0.918635,0.72956] usercpu_time_millis 472.4274600000058 usercpu_time_millis 379.2938139999933 usercpu_time_millis 509.196218999989 usercpu_time_millis 489.50198 usercpu_time_millis 416.82799799997383 usercpu_time_millis 413.44792399996777 usercpu_time_millis 452.68063399998937 usercpu_time_millis 666.9783449999613 usercpu_time_millis 727.5607069999523 usercpu_time_millis 440.10973199999626 usercpu_time_millis_testing 6.010581999987608 usercpu_time_millis_testing 5.451615000026777 usercpu_time_millis_testing 5.757324000001063 usercpu_time_millis_testing 5.557914999997138 usercpu_time_millis_testing 6.161773999963316 usercpu_time_millis_testing 5.896867999979349 usercpu_time_millis_testing 6.033030999958555 usercpu_time_millis_testing 5.992559999981495 usercpu_time_millis_testing 4.2398239999670295 usercpu_time_millis_testing 5.589843999985078 usercpu_time_millis_training 466.4168780000182 usercpu_time_millis_training 373.8421989999665 usercpu_time_millis_training 503.43889499998795 usercpu_time_millis_training 483.94406500000287 usercpu_time_millis_training 410.6662240000105 usercpu_time_millis_training 407.5510559999884 usercpu_time_millis_training 446.6476030000308 usercpu_time_millis_training 660.9857849999798 usercpu_time_millis_training 723.3208829999853 usercpu_time_millis_training 434.5198880000112 wall_clock_time_millis 483.40487480163574 wall_clock_time_millis 389.55163955688477 wall_clock_time_millis 524.8746871948242 wall_clock_time_millis 503.91340255737305 wall_clock_time_millis 424.2663383483887 wall_clock_time_millis 417.21296310424805 wall_clock_time_millis 502.58588790893555 wall_clock_time_millis 688.6608600616455 wall_clock_time_millis 733.2754135131836 wall_clock_time_millis 443.32122802734375 wall_clock_time_millis_testing 6.015539169311523 wall_clock_time_millis_testing 5.466699600219727 wall_clock_time_millis_testing 5.780220031738281 wall_clock_time_millis_testing 5.562782287597656 wall_clock_time_millis_testing 6.184816360473633 wall_clock_time_millis_testing 5.970239639282227 wall_clock_time_millis_testing 6.0520172119140625 wall_clock_time_millis_testing 5.997180938720703 wall_clock_time_millis_testing 4.244327545166016 wall_clock_time_millis_testing 5.594730377197266 wall_clock_time_millis_training 477.3893356323242 wall_clock_time_millis_training 384.08493995666504 wall_clock_time_millis_training 519.0944671630859 wall_clock_time_millis_training 498.3506202697754 wall_clock_time_millis_training 418.08152198791504 wall_clock_time_millis_training 411.2427234649658 wall_clock_time_millis_training 496.5338706970215 wall_clock_time_millis_training 682.6636791229248 wall_clock_time_millis_training 729.0310859680176 wall_clock_time_millis_training 437.7264976501465 weighted_recall 0.844731977818854 [0.879581,0.761006] weighted_recall 0.8798521256931608 [0.918848,0.786164] weighted_recall 0.8632162661737524 [0.91623,0.735849] weighted_recall 0.8613678373382625 [0.89267,0.786164] weighted_recall 0.8314814814814815 [0.882199,0.708861] weighted_recall 0.8759259259259259 [0.91623,0.778481] weighted_recall 0.8851851851851852 [0.918848,0.803797] weighted_recall 0.8648148148148148 [0.921466,0.727848] weighted_recall 0.8555555555555555 [0.908136,0.72956] weighted_recall 0.8629629629629629 [0.918635,0.72956]