10581138 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) 8297420 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 0.15452530918192492 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 2003 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 140 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 14572 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.19723228263677905 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 22088543 description https://api.openml.org/data/download/22088543/description.xml -1 22088544 predictions https://api.openml.org/data/download/22088544/predictions.arff area_under_roc_curve 0.9998364958478551 [0.999836,0.999836] average_cost 0 f_measure 0.994898373474492 [0.995404,0.994267] kappa 0.9896708080947137 kb_relative_information_score 0.9761374697885401 mean_absolute_error 0.013923536309012535 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9948979591836735 [0.994751,0.995082] number_of_instances 1372 [762,610] precision 0.9948998574806882 [0.996058,0.993453] predictive_accuracy 0.9948979591836735 prior_entropy 0.9911281447384036 relative_absolute_error 0.028192599187911904 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.06613672702373523 root_relative_squared_error 0.13309275077848542 total_cost 0 unweighted_recall 0.9949163116905468 [0.994751,0.995082] area_under_roc_curve 0.999787098147754 [0.999787,0.999787] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9997842968075926 [0.999784,0.999784] area_under_roc_curve 0.9989214840379638 [0.998921,0.998921] area_under_roc_curve 1 [1,1] 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 0.9997842968075926 [0.999784,0.999784] area_under_roc_curve 1 [1,1] 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 0.9927593990347404 [0.993464,0.99187] f_measure 1 [1,1] f_measure 0.9854014598540146 [0.986842,0.983607] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] kappa 0.9853347502656747 kappa 1 kappa 0.9704486626402071 kappa 0.9852003888948904 kappa 1 kappa 0.9705439690389164 kappa 1 kappa 1 kappa 0.9852003888948904 kappa 1 kb_relative_information_score 0.9730353023759704 kb_relative_information_score 0.9921442650288625 kb_relative_information_score 0.9676454114179083 kb_relative_information_score 0.9574486008991232 kb_relative_information_score 0.980308180319296 kb_relative_information_score 0.9566802631573723 kb_relative_information_score 0.9827333824243571 kb_relative_information_score 0.9913037874812907 kb_relative_information_score 0.9727832730296865 kb_relative_information_score 0.9872115972641683 mean_absolute_error 0.015294477148051861 mean_absolute_error 0.005124009098039867 mean_absolute_error 0.017290874166532688 mean_absolute_error 0.024472575295750764 mean_absolute_error 0.012670377388681705 mean_absolute_error 0.023735151160672385 mean_absolute_error 0.011299181383023582 mean_absolute_error 0.005825892583817742 mean_absolute_error 0.015255847045539193 mean_absolute_error 0.008321201078204795 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 0.992870500233754 [1,0.983871] precision 1 [1,1] precision 0.9854014598540146 [0.986842,0.983607] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] precision 0.9858649055729347 [1,0.968254] precision 1 [1,1] precision 1 [1,1] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9854014598540146 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 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 0.03098639171916232 relative_absolute_error 0.01038116906825016 relative_absolute_error 0.03500574937738382 relative_absolute_error 0.04954525891353444 relative_absolute_error 0.025651453542097243 relative_absolute_error 0.04805232777490223 relative_absolute_error 0.022875437520059227 relative_absolute_error 0.011794645760792016 relative_absolute_error 0.030885792879663133 relative_absolute_error 0.01684645187148829 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 0.0792349986542589 root_mean_squared_error 0.021449888166510778 root_mean_squared_error 0.09003789245407966 root_mean_squared_error 0.0907792311989172 root_mean_squared_error 0.03813096321707673 root_mean_squared_error 0.10964748875497562 root_mean_squared_error 0.0314826642952871 root_mean_squared_error 0.016700304712330916 root_mean_squared_error 0.07151798541264764 root_mean_squared_error 0.028424298329992537 root_relative_squared_error 0.15954369310267288 root_relative_squared_error 0.04319043898337351 root_relative_squared_error 0.18116482976041312 root_relative_squared_error 0.18265647404308877 root_relative_squared_error 0.07672313591019951 root_relative_squared_error 0.22062120838826801 root_relative_squared_error 0.06334612419286469 root_relative_squared_error 0.033602606388188155 root_relative_squared_error 0.1439010098853436 root_relative_squared_error 0.057192400084648674 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 0.9935064935064934 [0.987013,1] unweighted_recall 1 [1,1] unweighted_recall 0.9852243313201035 [0.986842,0.983607] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] unweighted_recall 0.986842105263158 [0.973684,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] usercpu_time_millis 242.35469999999282 usercpu_time_millis 240.66740299998912 usercpu_time_millis 243.2262920000028 usercpu_time_millis 204.79086199999585 usercpu_time_millis 212.17641799999853 usercpu_time_millis 196.6697380000113 usercpu_time_millis 196.39943699999662 usercpu_time_millis 241.33893100000137 usercpu_time_millis 241.69135900000072 usercpu_time_millis 220.88717599999086 usercpu_time_millis_testing 5.82035799999403 usercpu_time_millis_testing 5.82961599999976 usercpu_time_millis_testing 6.136425999997641 usercpu_time_millis_testing 5.6769369999898345 usercpu_time_millis_testing 6.331451999997739 usercpu_time_millis_testing 5.72398500000304 usercpu_time_millis_testing 5.70552799999291 usercpu_time_millis_testing 5.721997999998507 usercpu_time_millis_testing 5.676371000006952 usercpu_time_millis_testing 3.922430000002919 usercpu_time_millis_training 236.5343419999988 usercpu_time_millis_training 234.83778699998936 usercpu_time_millis_training 237.08986600000514 usercpu_time_millis_training 199.11392500000602 usercpu_time_millis_training 205.8449660000008 usercpu_time_millis_training 190.94575300000827 usercpu_time_millis_training 190.6939090000037 usercpu_time_millis_training 235.61693300000286 usercpu_time_millis_training 236.01498799999376 usercpu_time_millis_training 216.96474599998794 wall_clock_time_millis 256.21986389160156 wall_clock_time_millis 246.59228324890137 wall_clock_time_millis 243.51048469543457 wall_clock_time_millis 205.67774772644043 wall_clock_time_millis 226.51410102844238 wall_clock_time_millis 206.7403793334961 wall_clock_time_millis 199.24068450927734 wall_clock_time_millis 244.23933029174805 wall_clock_time_millis 248.17728996276855 wall_clock_time_millis 233.17241668701172 wall_clock_time_millis_testing 5.825042724609375 wall_clock_time_millis_testing 5.835056304931641 wall_clock_time_millis_testing 6.141424179077148 wall_clock_time_millis_testing 5.682229995727539 wall_clock_time_millis_testing 14.054059982299805 wall_clock_time_millis_testing 5.7315826416015625 wall_clock_time_millis_testing 5.783796310424805 wall_clock_time_millis_testing 5.72657585144043 wall_clock_time_millis_testing 5.681514739990234 wall_clock_time_millis_testing 3.9501190185546875 wall_clock_time_millis_training 250.3948211669922 wall_clock_time_millis_training 240.75722694396973 wall_clock_time_millis_training 237.36906051635742 wall_clock_time_millis_training 199.9955177307129 wall_clock_time_millis_training 212.46004104614258 wall_clock_time_millis_training 201.00879669189453 wall_clock_time_millis_training 193.45688819885254 wall_clock_time_millis_training 238.51275444030762 wall_clock_time_millis_training 242.49577522277832 wall_clock_time_millis_training 229.22229766845703 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [0.986842,0.983607] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [0.973684,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1]