10586522 28997 Marc Boel 9977 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) 8302804 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 0.8673381396603355 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1704 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 89 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 43116 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.14107607465601446 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099314 description https://api.openml.org/data/download/22099314/description.xml -1 22099315 predictions https://api.openml.org/data/download/22099315/predictions.arff area_under_roc_curve 0.9935403694407874 [0.99354,0.99354] average_cost 0 f_measure 0.9657973769954635 [0.939915,0.976146] kappa 0.9160617087164548 kb_relative_information_score 0.8892789448474425 mean_absolute_error 0.044999114031062666 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9658494124474104 [0.935189,0.978108] number_of_instances 34465 [9844,24621] precision 0.9657646704176179 [0.94469,0.974191] predictive_accuracy 0.9658494124474104 prior_entropy 0.8629999933345911 relative_absolute_error 0.11026750907064917 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16054312512015712 root_relative_squared_error 0.35541139577514164 total_cost 0 unweighted_recall 0.9566485333338086 [0.935189,0.978108] area_under_roc_curve 0.9925010067701164 [0.992501,0.992501] area_under_roc_curve 0.9944772728209907 [0.994477,0.994477] area_under_roc_curve 0.9926088731459298 [0.992609,0.992609] area_under_roc_curve 0.9942962471186398 [0.994296,0.994296] area_under_roc_curve 0.9941737764270722 [0.994174,0.994174] area_under_roc_curve 0.9934075178485334 [0.993408,0.993408] area_under_roc_curve 0.9934277439849947 [0.993428,0.993428] area_under_roc_curve 0.9956311545243802 [0.995631,0.995631] area_under_roc_curve 0.992199728556993 [0.9922,0.9922] area_under_roc_curve 0.9928839085811654 [0.992884,0.992884] 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 0.9645413417534854 [0.937628,0.975294] f_measure 0.964585263452063 [0.937945,0.975244] f_measure 0.9617521125342257 [0.933266,0.973149] f_measure 0.970068353393612 [0.947422,0.979129] f_measure 0.9642785023566707 [0.937341,0.975056] f_measure 0.9660005718552704 [0.940276,0.976282] f_measure 0.9648814645285055 [0.938485,0.975431] f_measure 0.9697261970642962 [0.946612,0.978964] f_measure 0.9660005718552704 [0.940276,0.976282] f_measure 0.966157310687029 [0.940021,0.976603] kappa 0.9129227512280937 kappa 0.9131887159822238 kappa 0.9064154426736893 kappa 0.926551746180563 kappa 0.9123970179765656 kappa 0.9165585314639292 kappa 0.9139164835092238 kappa 0.9255794018509628 kappa 0.9165585314639292 kappa 0.9166342020503178 kb_relative_information_score 0.8832161753580998 kb_relative_information_score 0.8857787482852559 kb_relative_information_score 0.8751212832388683 kb_relative_information_score 0.8956135106937372 kb_relative_information_score 0.892535010935983 kb_relative_information_score 0.8922539603060027 kb_relative_information_score 0.8898361329497207 kb_relative_information_score 0.9019718014681382 kb_relative_information_score 0.8871698931831937 kb_relative_information_score 0.8892988258751519 mean_absolute_error 0.047818723581994516 mean_absolute_error 0.04653512571899445 mean_absolute_error 0.05032317633672412 mean_absolute_error 0.0432260293583693 mean_absolute_error 0.04333437352737945 mean_absolute_error 0.04335938119729448 mean_absolute_error 0.04436077627639778 mean_absolute_error 0.039917926641063105 mean_absolute_error 0.04574625340145868 mean_absolute_error 0.045367562936546146 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9645041590191963 [0.943416,0.972929] precision 0.9645667591920355 [0.939857,0.974453] precision 0.9618108003028806 [0.929507,0.974735] precision 0.9700417844577426 [0.952772,0.976951] precision 0.9642498265771242 [0.940695,0.973674] precision 0.9659695299529636 [0.944615,0.974504] precision 0.9648762997402746 [0.938962,0.975233] precision 0.9697121961127416 [0.956432,0.97502] precision 0.9659695299529636 [0.944615,0.974504] precision 0.9662084347633001 [0.956842,0.969952] predictive_accuracy 0.9646069045546852 predictive_accuracy 0.9646069045546852 predictive_accuracy 0.9617058311575284 predictive_accuracy 0.9701189440092834 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.9648868253047012 predictive_accuracy 0.9698200812536274 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.9663377829367383 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.11719617423699588 relative_absolute_error 0.11401552236857013 relative_absolute_error 0.1232966097894373 relative_absolute_error 0.10590791882618596 relative_absolute_error 0.10617337243428139 relative_absolute_error 0.10625777801726832 relative_absolute_error 0.10871182632434108 relative_absolute_error 0.09782404801017662 relative_absolute_error 0.11210711741793053 relative_absolute_error 0.11117908739889414 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.16288104473946352 root_mean_squared_error 0.16223088421852694 root_mean_squared_error 0.1713529998495475 root_mean_squared_error 0.15322549317144896 root_mean_squared_error 0.1621818002897064 root_mean_squared_error 0.15941323221291276 root_mean_squared_error 0.16089298930684306 root_mean_squared_error 0.15070001468739946 root_mean_squared_error 0.16268400810746297 root_mean_squared_error 0.15897294640724932 root_relative_squared_error 0.36064676740732815 root_relative_squared_error 0.3590977332759098 root_relative_squared_error 0.37928951772903396 root_relative_squared_error 0.33916431845267014 root_relative_squared_error 0.35898908609898894 root_relative_squared_error 0.35293770636736715 root_relative_squared_error 0.3562138589643804 root_relative_squared_error 0.3336468171115284 root_relative_squared_error 0.3601791387518661 root_relative_squared_error 0.35196292240345245 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 0.9547900389174415 [0.931911,0.97767] unweighted_recall 0.9560381762175938 [0.936041,0.976036] unweighted_recall 0.9543118342975667 [0.937056,0.971568] unweighted_recall 0.9617239914724112 [0.942132,0.981316] unweighted_recall 0.9552260347124001 [0.93401,0.976442] unweighted_recall 0.9570211111331259 [0.935976,0.978067] unweighted_recall 0.956818849768514 [0.938008,0.97563] unweighted_recall 0.9599662842688541 [0.936992,0.982941] unweighted_recall 0.9570211111331259 [0.935976,0.978067] unweighted_recall 0.9535636801331457 [0.92378,0.983347] usercpu_time_millis 24693.52770199839 usercpu_time_millis 29946.130037998955 usercpu_time_millis 28836.403335997602 usercpu_time_millis 32538.71305299981 usercpu_time_millis 35419.251063001866 usercpu_time_millis 35529.83486000085 usercpu_time_millis 32507.389206999505 usercpu_time_millis 37145.51555900107 usercpu_time_millis 31175.043680999806 usercpu_time_millis 26142.43465799882 usercpu_time_millis_testing 70.9995759971207 usercpu_time_millis_testing 75.05874799971934 usercpu_time_millis_testing 77.39099099853775 usercpu_time_millis_testing 72.8225470011239 usercpu_time_millis_testing 74.18513000084204 usercpu_time_millis_testing 71.69867400079966 usercpu_time_millis_testing 78.40470199880656 usercpu_time_millis_testing 72.14374800241785 usercpu_time_millis_testing 75.1541259996884 usercpu_time_millis_testing 44.700318001559936 usercpu_time_millis_training 24622.52812600127 usercpu_time_millis_training 29871.071289999236 usercpu_time_millis_training 28759.012344999064 usercpu_time_millis_training 32465.890505998686 usercpu_time_millis_training 35345.065933001024 usercpu_time_millis_training 35458.13618600005 usercpu_time_millis_training 32428.9845050007 usercpu_time_millis_training 37073.37181099865 usercpu_time_millis_training 31099.889555000118 usercpu_time_millis_training 26097.73433999726 wall_clock_time_millis 25163.11264038086 wall_clock_time_millis 30516.178131103516 wall_clock_time_millis 29331.675052642822 wall_clock_time_millis 33144.25349235535 wall_clock_time_millis 36055.41253089905 wall_clock_time_millis 36169.69156265259 wall_clock_time_millis 33070.41430473328 wall_clock_time_millis 37848.03581237793 wall_clock_time_millis 31730.645418167114 wall_clock_time_millis 26520.74432373047 wall_clock_time_millis_testing 80.31582832336426 wall_clock_time_millis_testing 75.49118995666504 wall_clock_time_millis_testing 78.64880561828613 wall_clock_time_millis_testing 72.83520698547363 wall_clock_time_millis_testing 74.30744171142578 wall_clock_time_millis_testing 73.84157180786133 wall_clock_time_millis_testing 80.31916618347168 wall_clock_time_millis_testing 72.15762138366699 wall_clock_time_millis_testing 77.73947715759277 wall_clock_time_millis_testing 44.71015930175781 wall_clock_time_millis_training 25082.796812057495 wall_clock_time_millis_training 30440.68694114685 wall_clock_time_millis_training 29253.026247024536 wall_clock_time_millis_training 33071.41828536987 wall_clock_time_millis_training 35981.10508918762 wall_clock_time_millis_training 36095.84999084473 wall_clock_time_millis_training 32990.095138549805 wall_clock_time_millis_training 37775.87819099426 wall_clock_time_millis_training 31652.90594100952 wall_clock_time_millis_training 26476.03416442871 weighted_recall 0.9646069045546852 [0.931911,0.97767] weighted_recall 0.9646069045546852 [0.936041,0.976036] weighted_recall 0.9617058311575283 [0.937056,0.971568] weighted_recall 0.9701189440092834 [0.942132,0.981316] weighted_recall 0.9643167972149695 [0.93401,0.976442] weighted_recall 0.9660475914103308 [0.935976,0.978067] weighted_recall 0.9648868253047012 [0.938008,0.97563] weighted_recall 0.9698200812536274 [0.936992,0.982941] weighted_recall 0.9660475914103308 [0.935976,0.978067] weighted_recall 0.9663377829367382 [0.92378,0.983347]