10581152 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) 8297434 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 0.05623538976990229 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 683 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 63 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 57314 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.17937503418556755 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 22088571 description https://api.openml.org/data/download/22088571/description.xml -1 22088572 predictions https://api.openml.org/data/download/22088572/predictions.arff area_under_roc_curve 0.9995804827675228 [0.99958,0.99958] average_cost 0 f_measure 0.9927136894858193 [0.993421,0.99183] kappa 0.9852512448293358 kb_relative_information_score 0.9338494356469056 mean_absolute_error 0.04017013540714453 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9927113702623906 [0.990814,0.995082] number_of_instances 1372 [762,610] precision 0.9927330695854946 [0.996042,0.988599] predictive_accuracy 0.9927113702623906 prior_entropy 0.9911281447384036 relative_absolute_error 0.08133713316240793 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.09160701656609523 root_relative_squared_error 0.1843488538677811 total_cost 0 unweighted_recall 0.992947807753539 [0.990814,0.995082] 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 0.9984900776531492 [0.99849,0.99849] area_under_roc_curve 0.9995685936151854 [0.999569,0.999569] area_under_roc_curve 0.9984900776531492 [0.99849,0.99849] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9997842968075926 [0.999784,0.999784] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9993528904227784 [0.999353,0.999353] 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 0.9927593990347404 [0.993464,0.99187] f_measure 1 [1,1] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 0.9781186959643561 [0.980132,0.97561] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 1 [1,1] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] f_measure 0.9927062319881188 [0.993377,0.99187] kappa 0.9853347502656747 kappa 0.9853347502656747 kappa 1 kappa 0.9852003888948904 kappa 0.9557445892107247 kappa 0.9705439690389164 kappa 1 kappa 0.9852003888948904 kappa 1 kappa 0.9852481964035749 kb_relative_information_score 0.9281590223594677 kb_relative_information_score 0.9309641033674031 kb_relative_information_score 0.9385223008736184 kb_relative_information_score 0.9235716440885092 kb_relative_information_score 0.9316900809280113 kb_relative_information_score 0.919280768018266 kb_relative_information_score 0.9610001850195204 kb_relative_information_score 0.9403065394805502 kb_relative_information_score 0.9302472210103719 kb_relative_information_score 0.9348060768164569 mean_absolute_error 0.0431111862513811 mean_absolute_error 0.04134799471981926 mean_absolute_error 0.0393506111983575 mean_absolute_error 0.046307290536928475 mean_absolute_error 0.039517220269879805 mean_absolute_error 0.04770349180824818 mean_absolute_error 0.025815255925631178 mean_absolute_error 0.03665000900378683 mean_absolute_error 0.04333537811052616 mean_absolute_error 0.038532851209245926 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 0.992870500233754 [1,0.983871] precision 1 [1,1] precision 0.992795525642241 [0.987013,1] precision 0.9782403265049838 [0.986667,0.967742] precision 0.9858649055729347 [1,0.968254] precision 1 [1,1] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] predictive_accuracy 0.9927536231884058 predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9781021897810218 predictive_accuracy 0.9854014598540146 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 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 0.08734264608929211 relative_absolute_error 0.08377044529131687 relative_absolute_error 0.07966616494860557 relative_absolute_error 0.09375011299422792 relative_absolute_error 0.08000346862368506 relative_absolute_error 0.09657675271836645 relative_absolute_error 0.052263544939491154 relative_absolute_error 0.07419873729395675 relative_absolute_error 0.08773341189697888 relative_absolute_error 0.07801059213291188 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 0.09393265859855726 root_mean_squared_error 0.09301665557902566 root_mean_squared_error 0.07073982680266967 root_mean_squared_error 0.10678973223630969 root_mean_squared_error 0.10339437009910098 root_mean_squared_error 0.11827857803066502 root_mean_squared_error 0.04250053956552848 root_mean_squared_error 0.07840148851567771 root_mean_squared_error 0.08509218211804144 root_mean_squared_error 0.10077602132652493 root_relative_squared_error 0.1891381777030023 root_relative_squared_error 0.18729375911132717 root_relative_squared_error 0.14233528052117442 root_relative_squared_error 0.21487112962598612 root_relative_squared_error 0.2080393370684683 root_relative_squared_error 0.2379877834674734 root_relative_squared_error 0.08551514040648557 root_relative_squared_error 0.157751274855192 root_relative_squared_error 0.17121358871454298 root_relative_squared_error 0.20277096953222182 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 0.9935064935064934 [0.987013,1] unweighted_recall 1 [1,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 0.9786453839516824 [0.973684,0.983607] unweighted_recall 0.986842105263158 [0.973684,1] unweighted_recall 1 [1,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] usercpu_time_millis 273.33979100001216 usercpu_time_millis 274.39066200000184 usercpu_time_millis 275.3883179999974 usercpu_time_millis 275.8595979999967 usercpu_time_millis 276.41094799999166 usercpu_time_millis 276.82089399999654 usercpu_time_millis 284.31436399999654 usercpu_time_millis 283.743477999991 usercpu_time_millis 280.2426209999993 usercpu_time_millis 264.4167689999932 usercpu_time_millis_testing 5.76648600001306 usercpu_time_millis_testing 5.971392000006404 usercpu_time_millis_testing 5.650880999994001 usercpu_time_millis_testing 5.896696999997175 usercpu_time_millis_testing 5.814502999996307 usercpu_time_millis_testing 5.74361099999976 usercpu_time_millis_testing 5.773977000004038 usercpu_time_millis_testing 5.947865999999635 usercpu_time_millis_testing 5.819846999997935 usercpu_time_millis_testing 3.8034450000026254 usercpu_time_millis_training 267.5733049999991 usercpu_time_millis_training 268.41926999999544 usercpu_time_millis_training 269.7374370000034 usercpu_time_millis_training 269.96290099999953 usercpu_time_millis_training 270.59644499999536 usercpu_time_millis_training 271.0772829999968 usercpu_time_millis_training 278.5403869999925 usercpu_time_millis_training 277.79561199999137 usercpu_time_millis_training 274.42277400000137 usercpu_time_millis_training 260.6133239999906 wall_clock_time_millis 281.369686126709 wall_clock_time_millis 289.20507431030273 wall_clock_time_millis 281.5704345703125 wall_clock_time_millis 286.6337299346924 wall_clock_time_millis 280.75623512268066 wall_clock_time_millis 296.76342010498047 wall_clock_time_millis 298.6631393432617 wall_clock_time_millis 287.07432746887207 wall_clock_time_millis 285.23921966552734 wall_clock_time_millis 268.9030170440674 wall_clock_time_millis_testing 5.772590637207031 wall_clock_time_millis_testing 5.97691535949707 wall_clock_time_millis_testing 5.7506561279296875 wall_clock_time_millis_testing 5.913496017456055 wall_clock_time_millis_testing 5.846500396728516 wall_clock_time_millis_testing 5.764245986938477 wall_clock_time_millis_testing 5.779504776000977 wall_clock_time_millis_testing 5.953311920166016 wall_clock_time_millis_testing 5.843639373779297 wall_clock_time_millis_testing 3.8080215454101562 wall_clock_time_millis_training 275.59709548950195 wall_clock_time_millis_training 283.22815895080566 wall_clock_time_millis_training 275.8197784423828 wall_clock_time_millis_training 280.7202339172363 wall_clock_time_millis_training 274.90973472595215 wall_clock_time_millis_training 290.999174118042 wall_clock_time_millis_training 292.88363456726074 wall_clock_time_millis_training 281.12101554870605 wall_clock_time_millis_training 279.39558029174805 wall_clock_time_millis_training 265.0949954986572 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 0.9781021897810219 [0.973684,0.983607] weighted_recall 0.9854014598540146 [0.973684,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1]