10581233 28997 Marc Boel 10093 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) 8297515 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 0.09450249353040287 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 426 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 93 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 4 19040 random_state 30163 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3512927672487774 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1462 banknote-authentication https://www.openml.org/data/download/1586223/php50jXam -1 22088733 description https://api.openml.org/data/download/22088733/description.xml -1 22088734 predictions https://api.openml.org/data/download/22088734/predictions.arff area_under_roc_curve 0.9997160191041693 [0.999716,0.999716] average_cost 0 f_measure 0.9912536443148688 [0.992126,0.990164] kappa 0.982289918678198 kb_relative_information_score 0.9625499225260011 mean_absolute_error 0.021778241423432546 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9912536443148688 [0.992126,0.990164] number_of_instances 1372 [762,610] precision 0.9912536443148688 [0.992126,0.990164] predictive_accuracy 0.9912536443148688 prior_entropy 0.9911281447384036 relative_absolute_error 0.04409693183124668 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.07957167554994736 root_relative_squared_error 0.16012907894875028 total_cost 0 unweighted_recall 0.9911449593390991 [0.992126,0.990164] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9989214840379638 [0.998921,0.998921] area_under_roc_curve 0.999137187230371 [0.999137,0.999137] area_under_roc_curve 0.999137187230371 [0.999137,0.999137] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9995685936151854 [0.999569,0.999569] 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 0.9855287763588493 [0.986842,0.983871] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9781186959643561 [0.980132,0.97561] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9853746010680315 [0.987013,0.983333] f_measure 0.9853746010680315 [0.987013,0.983333] kappa 0.9707192870782941 kappa 1 kappa 1 kappa 0.9557445892107247 kappa 0.9852003888948904 kappa 0.9705439690389164 kappa 1 kappa 1 kappa 0.9703527375027051 kappa 0.9703527375027051 kb_relative_information_score 0.9533280569328096 kb_relative_information_score 0.9731388725125857 kb_relative_information_score 0.9695234114997331 kb_relative_information_score 0.946312754612127 kb_relative_information_score 0.9563129795646472 kb_relative_information_score 0.9562067136714728 kb_relative_information_score 0.982923743275163 kb_relative_information_score 0.9781423546378921 kb_relative_information_score 0.956554690639838 kb_relative_information_score 0.9530471056952774 mean_absolute_error 0.026126976521927747 mean_absolute_error 0.016965032437619456 mean_absolute_error 0.019494436462001906 mean_absolute_error 0.02956880758063899 mean_absolute_error 0.024547038879359995 mean_absolute_error 0.024554146712917342 mean_absolute_error 0.011371772871880551 mean_absolute_error 0.014267148708896317 mean_absolute_error 0.025162408826647973 mean_absolute_error 0.02572803555278046 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 number_of_instances 138 [77,61] number_of_instances 138 [77,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] precision 0.9859673337934206 [1,0.968254] precision 1 [1,1] precision 1 [1,1] precision 0.9782403265049838 [0.986667,0.967742] precision 0.992795525642241 [0.987013,1] precision 0.9858649055729347 [1,0.968254] precision 1 [1,1] precision 1 [1,1] precision 0.9857757813962194 [0.974359,1] precision 0.9857757813962194 [0.974359,1] predictive_accuracy 0.9855072463768115 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9781021897810218 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9854014598540146 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9854014598540146 prior_entropy 0.9903020513891087 prior_entropy 0.9903020513891087 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 relative_absolute_error 0.052932880353411156 relative_absolute_error 0.034370912817201525 relative_absolute_error 0.0394669089873445 relative_absolute_error 0.05986269159019033 relative_absolute_error 0.04969601205189294 relative_absolute_error 0.049710402014929406 relative_absolute_error 0.023022400562030615 relative_absolute_error 0.028884151675810852 relative_absolute_error 0.050941841842895144 relative_absolute_error 0.05208696540492234 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_squared_error 0.09888361587931149 root_mean_squared_error 0.048356504580936474 root_mean_squared_error 0.04930724351515734 root_mean_squared_error 0.10843926830407194 root_mean_squared_error 0.0932410739609659 root_mean_squared_error 0.1004297949954609 root_mean_squared_error 0.025847607054212896 root_mean_squared_error 0.03619749812874235 root_mean_squared_error 0.0799124419516455 root_mean_squared_error 0.09934540872130744 root_relative_squared_error 0.1991071815823586 root_relative_squared_error 0.09736827736999329 root_relative_squared_error 0.09921087815260128 root_relative_squared_error 0.21819015356973534 root_relative_squared_error 0.1876099365545633 root_relative_squared_error 0.20207432912209916 root_relative_squared_error 0.05200785140632597 root_relative_squared_error 0.072832819688566 root_relative_squared_error 0.16079145732217526 root_relative_squared_error 0.19989244048169447 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 0.987012987012987 [0.974026,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9786453839516824 [0.973684,0.983607] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 0.986842105263158 [0.973684,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9836065573770492 [1,0.967213] unweighted_recall 0.9836065573770492 [1,0.967213] usercpu_time_millis 226.08692800000085 usercpu_time_millis 224.03654500000414 usercpu_time_millis 227.0710900000097 usercpu_time_millis 225.43564800000127 usercpu_time_millis 221.68961299999523 usercpu_time_millis 221.53011400000366 usercpu_time_millis 222.72613100000171 usercpu_time_millis 222.18516800000998 usercpu_time_millis 221.5721999999829 usercpu_time_millis 205.07374799998956 usercpu_time_millis_testing 6.235426000003486 usercpu_time_millis_testing 6.10054300000229 usercpu_time_millis_testing 5.711738000002242 usercpu_time_millis_testing 5.8693349999998645 usercpu_time_millis_testing 5.75007099999425 usercpu_time_millis_testing 5.765715999999088 usercpu_time_millis_testing 5.695115999998279 usercpu_time_millis_testing 5.651558000010937 usercpu_time_millis_testing 5.679235999991761 usercpu_time_millis_testing 4.016415999998912 usercpu_time_millis_training 219.85150199999737 usercpu_time_millis_training 217.93600200000185 usercpu_time_millis_training 221.35935200000745 usercpu_time_millis_training 219.5663130000014 usercpu_time_millis_training 215.93954200000098 usercpu_time_millis_training 215.76439800000458 usercpu_time_millis_training 217.03101500000344 usercpu_time_millis_training 216.53360999999904 usercpu_time_millis_training 215.89296399999114 usercpu_time_millis_training 201.05733199999065 wall_clock_time_millis 226.6066074371338 wall_clock_time_millis 231.38713836669922 wall_clock_time_millis 231.63414001464844 wall_clock_time_millis 245.76950073242188 wall_clock_time_millis 222.54300117492676 wall_clock_time_millis 233.29854011535645 wall_clock_time_millis 223.32382202148438 wall_clock_time_millis 222.8531837463379 wall_clock_time_millis 223.7858772277832 wall_clock_time_millis 205.69348335266113 wall_clock_time_millis_testing 6.242036819458008 wall_clock_time_millis_testing 8.512496948242188 wall_clock_time_millis_testing 5.716562271118164 wall_clock_time_millis_testing 5.891084671020508 wall_clock_time_millis_testing 5.755424499511719 wall_clock_time_millis_testing 6.048679351806641 wall_clock_time_millis_testing 5.700588226318359 wall_clock_time_millis_testing 5.657672882080078 wall_clock_time_millis_testing 5.684852600097656 wall_clock_time_millis_testing 4.020452499389648 wall_clock_time_millis_training 220.36457061767578 wall_clock_time_millis_training 222.87464141845703 wall_clock_time_millis_training 225.91757774353027 wall_clock_time_millis_training 239.87841606140137 wall_clock_time_millis_training 216.78757667541504 wall_clock_time_millis_training 227.2498607635498 wall_clock_time_millis_training 217.62323379516602 wall_clock_time_millis_training 217.1955108642578 wall_clock_time_millis_training 218.10102462768555 wall_clock_time_millis_training 201.67303085327148 weighted_recall 0.9855072463768116 [0.974026,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9781021897810219 [0.973684,0.983607] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 0.9854014598540146 [0.973684,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [1,0.967213] weighted_recall 0.9854014598540146 [1,0.967213]