10584045 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) 8300327 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 "median" 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 0.9675120500164444 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 518 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 161 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 53031 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3804267041354585 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 22094358 description https://api.openml.org/data/download/22094358/description.xml -1 22094359 predictions https://api.openml.org/data/download/22094359/predictions.arff area_under_roc_curve 0.9208313048234386 [0.920831,0.920831] average_cost 0 f_measure 0.857256163452059 [0.899726,0.755018] kappa 0.6547593095977083 kb_relative_information_score 0.5542914072758051 mean_absolute_error 0.18297369619227713 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8576980014803849 [0.903614,0.747163] number_of_instances 5404 [3818,1586] precision 0.8568868516886552 [0.895871,0.763039] predictive_accuracy 0.8576980014803849 prior_entropy 0.8731822780289229 relative_absolute_error 0.4411813992893648 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3190613287434695 root_relative_squared_error 0.7006803693297232 total_cost 0 unweighted_recall 0.8253885656117534 [0.903614,0.747163] area_under_roc_curve 0.9235239882775198 [0.923524,0.923524] area_under_roc_curve 0.9278046692350752 [0.927805,0.927805] area_under_roc_curve 0.9134149955546773 [0.913415,0.913415] area_under_roc_curve 0.9173170008890645 [0.917317,0.917317] area_under_roc_curve 0.904549671946451 [0.90455,0.90455] area_under_roc_curve 0.9295016236993836 [0.929502,0.929502] area_under_roc_curve 0.9313241434157333 [0.931324,0.931324] area_under_roc_curve 0.9281761548147657 [0.928176,0.928176] area_under_roc_curve 0.9111078096370029 [0.911108,0.911108] area_under_roc_curve 0.930223344723419 [0.930223,0.930223] 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 0.8529096451930644 [0.894459,0.753086] f_measure 0.8531576980937969 [0.89418,0.754601] f_measure 0.8442599740601149 [0.893453,0.726073] f_measure 0.8452877754137816 [0.889474,0.73913] f_measure 0.854128455861242 [0.899225,0.745098] f_measure 0.8735947886989555 [0.911458,0.782051] f_measure 0.8819103313840154 [0.915789,0.8] f_measure 0.8560782163742691 [0.897368,0.75625] f_measure 0.8486910203619054 [0.894942,0.737864] f_measure 0.8618483687449205 [0.906769,0.754209] kappa 0.6475971794746527 kappa 0.6488723024501055 kappa 0.6198880903403847 kappa 0.62862839958159 kappa 0.6444729556350867 kappa 0.6935300794551646 kappa 0.7158081705150978 kappa 0.6536412078152751 kappa 0.6329305135951662 kappa 0.661619283065513 kb_relative_information_score 0.5564248595157885 kb_relative_information_score 0.5486874393022757 kb_relative_information_score 0.5405645073102955 kb_relative_information_score 0.524509292075819 kb_relative_information_score 0.5412877834858651 kb_relative_information_score 0.5785639589322793 kb_relative_information_score 0.5696932816208846 kb_relative_information_score 0.5716390975425579 kb_relative_information_score 0.5375725510282894 kb_relative_information_score 0.5741392923304448 mean_absolute_error 0.18275596470017413 mean_absolute_error 0.1865182646986194 mean_absolute_error 0.18748558780361632 mean_absolute_error 0.19605434667441765 mean_absolute_error 0.18682151475781508 mean_absolute_error 0.1740953409297575 mean_absolute_error 0.17966784550467388 mean_absolute_error 0.17289985206975597 mean_absolute_error 0.18822620323333436 mean_absolute_error 0.1751733019596678 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 0.8539246041251783 [0.901596,0.739394] precision 0.8545983936325359 [0.903743,0.736527] precision 0.8434560420032561 [0.876574,0.763889] precision 0.845945423619125 [0.89418,0.730061] precision 0.8533799105227676 [0.887755,0.77027] precision 0.8732257188215736 [0.906736,0.792208] precision 0.8824482330655169 [0.920635,0.790123] precision 0.8567052060879222 [0.902116,0.746914] precision 0.847923076923077 [0.884615,0.76] precision 0.8620346335953085 [0.883085,0.811594] predictive_accuracy 0.8521256931608133 predictive_accuracy 0.8521256931608133 predictive_accuracy 0.8465804066543439 predictive_accuracy 0.844731977818854 predictive_accuracy 0.8555555555555556 predictive_accuracy 0.874074074074074 predictive_accuracy 0.8814814814814815 predictive_accuracy 0.8555555555555556 predictive_accuracy 0.85 predictive_accuracy 0.8648148148148148 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 0.44047492584109477 relative_absolute_error 0.4495427492389571 relative_absolute_error 0.45187417285972314 relative_absolute_error 0.47252643137483397 relative_absolute_error 0.4508602908160838 relative_absolute_error 0.42014794785851733 relative_absolute_error 0.4335961903507042 relative_absolute_error 0.4172628494490198 relative_absolute_error 0.4534136238657009 relative_absolute_error 0.4219708004607273 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 0.31658688021825865 root_mean_squared_error 0.31188971778518554 root_mean_squared_error 0.32957664413266297 root_mean_squared_error 0.32585832189241015 root_mean_squared_error 0.32820464844537456 root_mean_squared_error 0.30653714835081486 root_mean_squared_error 0.30385365146440585 root_mean_squared_error 0.32078089006018445 root_mean_squared_error 0.33520251169781606 root_mean_squared_error 0.3105052984532936 root_relative_squared_error 0.694960011154868 root_relative_squared_error 0.6846489709290878 root_relative_squared_error 0.7234746687067853 root_relative_squared_error 0.7153123428903082 root_relative_squared_error 0.721401889236389 root_relative_squared_error 0.6737761911322181 root_relative_squared_error 0.6678777989772463 root_relative_squared_error 0.7050842857238295 root_relative_squared_error 0.7354263076144085 root_relative_squared_error 0.68124121140857 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 0.8273650762290494 [0.887435,0.767296] unweighted_recall 0.8292008297935395 [0.884817,0.773585] unweighted_recall 0.8014093318844875 [0.910995,0.691824] unweighted_recall 0.8166222134413381 [0.884817,0.748428] unweighted_recall 0.816256875869839 [0.910995,0.721519] unweighted_recall 0.8441911326131619 [0.91623,0.772152] unweighted_recall 0.8605606733381934 [0.910995,0.810127] unweighted_recall 0.8292464709390948 [0.89267,0.765823] unweighted_recall 0.8112464715495469 [0.905512,0.716981] unweighted_recall 0.8180805229534986 [0.931759,0.704403] usercpu_time_millis 375.1654360000316 usercpu_time_millis 288.4049470000605 usercpu_time_millis 372.9173340000216 usercpu_time_millis 417.7046919999725 usercpu_time_millis 559.0964859999872 usercpu_time_millis 520.6088819999763 usercpu_time_millis 284.2505469999992 usercpu_time_millis 814.0911069999675 usercpu_time_millis 433.8522850000004 usercpu_time_millis 237.84338499996238 usercpu_time_millis_testing 6.461860999991131 usercpu_time_millis_testing 5.69954900004177 usercpu_time_millis_testing 5.757490000007692 usercpu_time_millis_testing 6.006717999980538 usercpu_time_millis_testing 6.94073799996886 usercpu_time_millis_testing 6.556107999983851 usercpu_time_millis_testing 5.635202999997091 usercpu_time_millis_testing 6.863588999976855 usercpu_time_millis_testing 6.362207999984548 usercpu_time_millis_testing 4.047647999982473 usercpu_time_millis_training 368.7035750000405 usercpu_time_millis_training 282.7053980000187 usercpu_time_millis_training 367.1598440000139 usercpu_time_millis_training 411.697973999992 usercpu_time_millis_training 552.1557480000183 usercpu_time_millis_training 514.0527739999925 usercpu_time_millis_training 278.6153440000021 usercpu_time_millis_training 807.2275179999906 usercpu_time_millis_training 427.49007700001584 usercpu_time_millis_training 233.7957369999799 wall_clock_time_millis 395.85351943969727 wall_clock_time_millis 291.6438579559326 wall_clock_time_millis 383.5155963897705 wall_clock_time_millis 424.47447776794434 wall_clock_time_millis 580.2156925201416 wall_clock_time_millis 536.7224216461182 wall_clock_time_millis 294.28720474243164 wall_clock_time_millis 850.074052810669 wall_clock_time_millis 435.6536865234375 wall_clock_time_millis 250.60606002807617 wall_clock_time_millis_testing 6.477832794189453 wall_clock_time_millis_testing 5.704402923583984 wall_clock_time_millis_testing 5.778789520263672 wall_clock_time_millis_testing 6.012439727783203 wall_clock_time_millis_testing 6.963253021240234 wall_clock_time_millis_testing 7.671594619750977 wall_clock_time_millis_testing 5.640983581542969 wall_clock_time_millis_testing 6.868839263916016 wall_clock_time_millis_testing 6.367921829223633 wall_clock_time_millis_testing 4.0531158447265625 wall_clock_time_millis_training 389.3756866455078 wall_clock_time_millis_training 285.93945503234863 wall_clock_time_millis_training 377.73680686950684 wall_clock_time_millis_training 418.46203804016113 wall_clock_time_millis_training 573.2524394989014 wall_clock_time_millis_training 529.0508270263672 wall_clock_time_millis_training 288.6462211608887 wall_clock_time_millis_training 843.2052135467529 wall_clock_time_millis_training 429.28576469421387 wall_clock_time_millis_training 246.5529441833496 weighted_recall 0.8521256931608133 [0.887435,0.767296] weighted_recall 0.8521256931608133 [0.884817,0.773585] weighted_recall 0.8465804066543438 [0.910995,0.691824] weighted_recall 0.844731977818854 [0.884817,0.748428] weighted_recall 0.8555555555555555 [0.910995,0.721519] weighted_recall 0.8740740740740741 [0.91623,0.772152] weighted_recall 0.8814814814814815 [0.910995,0.810127] weighted_recall 0.8555555555555555 [0.89267,0.765823] weighted_recall 0.85 [0.905512,0.716981] weighted_recall 0.8648148148148148 [0.931759,0.704403]