10583952 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) 8300234 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 0.9981643185830419 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1276 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 100 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 57313 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.346311555858054 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 22094172 description https://api.openml.org/data/download/22094172/description.xml -1 22094173 predictions https://api.openml.org/data/download/22094173/predictions.arff area_under_roc_curve 0.9191008510163248 [0.919101,0.919101] average_cost 0 f_measure 0.8494187244951585 [0.895785,0.737801] kappa 0.6337337158887181 kb_relative_information_score 0.5392351356835324 mean_absolute_error 0.18841294179929424 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8508512213175425 [0.907281,0.715006] number_of_instances 5404 [3818,1586] precision 0.8486300936826725 [0.884576,0.762097] predictive_accuracy 0.8508512213175426 prior_entropy 0.8731822780289229 relative_absolute_error 0.45429636629238496 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.32341211763504196 root_relative_squared_error 0.710234997524335 total_cost 0 unweighted_recall 0.8111438021398605 [0.907281,0.715006] area_under_roc_curve 0.9303730778096084 [0.930373,0.930373] area_under_roc_curve 0.931607889624288 [0.931608,0.931608] area_under_roc_curve 0.9088708880766572 [0.908871,0.908871] area_under_roc_curve 0.9088461918403635 [0.908846,0.908846] area_under_roc_curve 0.8961577970707137 [0.896158,0.896158] area_under_roc_curve 0.9312744383325602 [0.931274,0.931274] area_under_roc_curve 0.9353419709722314 [0.935342,0.935342] area_under_roc_curve 0.9258234475445689 [0.925823,0.925823] area_under_roc_curve 0.9138893015731524 [0.913889,0.913889] area_under_roc_curve 0.9109179748757821 [0.910918,0.910918] 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 0.8666657055024068 [0.906005,0.772152] f_measure 0.8656123569505335 [0.906977,0.766234] f_measure 0.8367544306413253 [0.888318,0.712871] f_measure 0.8326899532999349 [0.883117,0.711538] f_measure 0.825925925925926 [0.876963,0.702532] f_measure 0.8718597600061834 [0.910039,0.779553] f_measure 0.8754931522263609 [0.915601,0.778523] f_measure 0.8398309408719696 [0.891165,0.715719] f_measure 0.8453447293447293 [0.894872,0.726667] f_measure 0.8337469236075259 [0.884565,0.711974] kappa 0.6781624390646946 kappa 0.6733475336698924 kappa 0.6015694440917286 kappa 0.5947160765120112 kappa 0.5794949963549606 kappa 0.6896034655114962 kappa 0.6945491943777854 kappa 0.607370149866557 kappa 0.6220617606391149 kappa 0.5966767371601207 kb_relative_information_score 0.5677775837451047 kb_relative_information_score 0.562042275977294 kb_relative_information_score 0.5274924338565425 kb_relative_information_score 0.49772513913193167 kb_relative_information_score 0.4663233388517333 kb_relative_information_score 0.5709858618391555 kb_relative_information_score 0.5990247883538524 kb_relative_information_score 0.5442159038013297 kb_relative_information_score 0.5338317134002852 kb_relative_information_score 0.5229976850457393 mean_absolute_error 0.17885140220752468 mean_absolute_error 0.18049194150102335 mean_absolute_error 0.19071131470108962 mean_absolute_error 0.20379659540402778 mean_absolute_error 0.21472722506336686 mean_absolute_error 0.17851578192382234 mean_absolute_error 0.1673218268175414 mean_absolute_error 0.1844392988227719 mean_absolute_error 0.19089653965940506 mean_absolute_error 0.19437712247271224 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 0.8664451912397818 [0.903646,0.77707] precision 0.8650007050916733 [0.895408,0.791946] precision 0.835816917081438 [0.871537,0.75] precision 0.8319689634338405 [0.876289,0.72549] precision 0.825925925925926 [0.876963,0.702532] precision 0.8715589070427779 [0.906494,0.787097] precision 0.875563492063492 [0.895,0.828571] precision 0.8390252621308986 [0.87218,0.758865] precision 0.8447602457680845 [0.874687,0.77305] precision 0.8328347578347577 [0.874359,0.733333] predictive_accuracy 0.866913123844732 predictive_accuracy 0.866913123844732 predictive_accuracy 0.8391866913123844 predictive_accuracy 0.833641404805915 predictive_accuracy 0.825925925925926 predictive_accuracy 0.8722222222222222 predictive_accuracy 0.8777777777777778 predictive_accuracy 0.8425925925925926 predictive_accuracy 0.8481481481481481 predictive_accuracy 0.8351851851851851 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 0.4310642241044196 relative_absolute_error 0.43501822048877137 relative_absolute_error 0.4596487580464732 relative_absolute_error 0.4911866509775875 relative_absolute_error 0.5182057284125005 relative_absolute_error 0.43081589108070467 relative_absolute_error 0.4038012837901978 relative_absolute_error 0.4451112389970114 relative_absolute_error 0.4598461337664843 relative_absolute_error 0.46823042691715655 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 0.3067798883362663 root_mean_squared_error 0.3088262967809791 root_mean_squared_error 0.33880450757353664 root_mean_squared_error 0.33895625991693035 root_mean_squared_error 0.3467923298540624 root_mean_squared_error 0.30284244185943265 root_mean_squared_error 0.30068267147091804 root_mean_squared_error 0.3249243528245755 root_mean_squared_error 0.32811224670463424 root_mean_squared_error 0.33341128666247044 root_relative_squared_error 0.6734320590710469 root_relative_squared_error 0.6779242604995602 root_relative_squared_error 0.7437313390886534 root_relative_squared_error 0.7440644603164976 root_relative_squared_error 0.7622580701231242 root_relative_squared_error 0.6656551353955541 root_relative_squared_error 0.6609079069636248 root_relative_squared_error 0.7141917187853994 root_relative_squared_error 0.7198704355013612 root_relative_squared_error 0.7314964026528421 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 0.837836280417531 [0.908377,0.767296] unweighted_recall 0.8304932661595705 [0.918848,0.742138] unweighted_recall 0.7925022226612664 [0.905759,0.679245] unweighted_recall 0.7940827817840561 [0.890052,0.698113] unweighted_recall 0.7897474981774802 [0.876963,0.702532] unweighted_recall 0.8428822320896017 [0.913613,0.772152] unweighted_recall 0.8356749950294917 [0.937173,0.734177] unweighted_recall 0.7941049771356616 [0.910995,0.677215] unweighted_recall 0.8007725449413163 [0.91601,0.685535] unweighted_recall 0.7934185113653246 [0.895013,0.691824] usercpu_time_millis 320.1083579999704 usercpu_time_millis 337.8651859999877 usercpu_time_millis 428.7841530000378 usercpu_time_millis 303.1208779999872 usercpu_time_millis 234.7448179999958 usercpu_time_millis 271.05512299999646 usercpu_time_millis 371.9356830000038 usercpu_time_millis 227.31669499998475 usercpu_time_millis 238.52581099998815 usercpu_time_millis 312.9918910000242 usercpu_time_millis_testing 5.480389999974022 usercpu_time_millis_testing 6.254031999986864 usercpu_time_millis_testing 5.660778000020628 usercpu_time_millis_testing 5.584088999995629 usercpu_time_millis_testing 5.4999930000008135 usercpu_time_millis_testing 5.811144999995577 usercpu_time_millis_testing 6.059555999996746 usercpu_time_millis_testing 5.369473999991214 usercpu_time_millis_testing 5.470035000001872 usercpu_time_millis_testing 3.9158130000203073 usercpu_time_millis_training 314.6279679999964 usercpu_time_millis_training 331.61115400000085 usercpu_time_millis_training 423.1233750000172 usercpu_time_millis_training 297.5367889999916 usercpu_time_millis_training 229.244824999995 usercpu_time_millis_training 265.2439780000009 usercpu_time_millis_training 365.87612700000705 usercpu_time_millis_training 221.94722099999353 usercpu_time_millis_training 233.05577599998628 usercpu_time_millis_training 309.0760780000039 wall_clock_time_millis 332.8719139099121 wall_clock_time_millis 344.5165157318115 wall_clock_time_millis 447.45540618896484 wall_clock_time_millis 331.79402351379395 wall_clock_time_millis 242.0370578765869 wall_clock_time_millis 280.72047233581543 wall_clock_time_millis 376.0359287261963 wall_clock_time_millis 227.5376319885254 wall_clock_time_millis 251.68657302856445 wall_clock_time_millis 316.67613983154297 wall_clock_time_millis_testing 5.486011505126953 wall_clock_time_millis_testing 6.2580108642578125 wall_clock_time_millis_testing 5.66554069519043 wall_clock_time_millis_testing 5.597829818725586 wall_clock_time_millis_testing 5.506277084350586 wall_clock_time_millis_testing 5.822896957397461 wall_clock_time_millis_testing 6.065845489501953 wall_clock_time_millis_testing 5.375385284423828 wall_clock_time_millis_testing 5.475521087646484 wall_clock_time_millis_testing 3.921031951904297 wall_clock_time_millis_training 327.38590240478516 wall_clock_time_millis_training 338.2585048675537 wall_clock_time_millis_training 441.7898654937744 wall_clock_time_millis_training 326.19619369506836 wall_clock_time_millis_training 236.53078079223633 wall_clock_time_millis_training 274.89757537841797 wall_clock_time_millis_training 369.97008323669434 wall_clock_time_millis_training 222.16224670410156 wall_clock_time_millis_training 246.21105194091797 wall_clock_time_millis_training 312.7551078796387 weighted_recall 0.866913123844732 [0.908377,0.767296] weighted_recall 0.866913123844732 [0.918848,0.742138] weighted_recall 0.8391866913123844 [0.905759,0.679245] weighted_recall 0.833641404805915 [0.890052,0.698113] weighted_recall 0.825925925925926 [0.876963,0.702532] weighted_recall 0.8722222222222222 [0.913613,0.772152] weighted_recall 0.8777777777777778 [0.937173,0.734177] weighted_recall 0.8425925925925926 [0.910995,0.677215] weighted_recall 0.8481481481481481 [0.91601,0.685535] weighted_recall 0.8351851851851851 [0.895013,0.691824]