10581215 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) 8297497 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 0.26589224367771697 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 88 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 173 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 15449 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2949079221978976 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 22088697 description https://api.openml.org/data/download/22088697/description.xml -1 22088698 predictions https://api.openml.org/data/download/22088698/predictions.arff area_under_roc_curve 0.9993707241512844 [0.999371,0.999371] average_cost 0 f_measure 0.99198567417186 [0.992758,0.99102] kappa 0.9837790197764401 kb_relative_information_score 0.9640674811883128 mean_absolute_error 0.01992143412940709 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9919825072886297 [0.989501,0.995082] number_of_instances 1372 [762,610] precision 0.9920154705473478 [0.996037,0.986992] predictive_accuracy 0.9919825072886297 prior_entropy 0.9911281447384036 relative_absolute_error 0.040337238701006015 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.09057352322047267 root_relative_squared_error 0.18226906433978102 total_cost 0 unweighted_recall 0.9922916397745363 [0.989501,0.995082] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.999137187230371 [0.999137,0.999137] area_under_roc_curve 0.9985979292493529 [0.998598,0.998598] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.997411561691113 [0.997412,0.997412] area_under_roc_curve 0.9997842968075926 [0.999784,0.999784] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9980586712683348 [0.998059,0.998059] 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 1 [1,1] f_measure 0.9854014598540146 [0.986842,0.983607] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 1 [1,1] f_measure 0.9781186959643561 [0.980132,0.97561] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 1 [1,1] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 0.9927062319881188 [0.993377,0.99187] kappa 0.9853347502656747 kappa 1 kappa 0.9704486626402071 kappa 0.9705439690389164 kappa 1 kappa 0.9557445892107247 kappa 0.9852481964035749 kappa 1 kappa 0.9852003888948904 kappa 0.9852481964035749 kb_relative_information_score 0.9771446061151352 kb_relative_information_score 0.9945420401403778 kb_relative_information_score 0.9581200652524504 kb_relative_information_score 0.9448238249013164 kb_relative_information_score 0.9829415426836747 kb_relative_information_score 0.939210698134474 kb_relative_information_score 0.9689628643231606 kb_relative_information_score 0.9748723428484308 kb_relative_information_score 0.9373256071804329 kb_relative_information_score 0.9624590878758434 mean_absolute_error 0.012675358340025027 mean_absolute_error 0.0036615253393138835 mean_absolute_error 0.022805581593557927 mean_absolute_error 0.02911683760904193 mean_absolute_error 0.010982977997616187 mean_absolute_error 0.0314493609085705 mean_absolute_error 0.0174986624914405 mean_absolute_error 0.01558635457714827 mean_absolute_error 0.035181411055514186 mean_absolute_error 0.02042784791161999 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 0.9858649055729347 [1,0.968254] precision 1 [1,1] precision 0.9782403265049838 [0.986667,0.967742] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 0.992795525642241 [0.987013,1] precision 0.9928184600894748 [1,0.983871] predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9854014598540146 predictive_accuracy 1 predictive_accuracy 0.9781021897810218 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 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 0.025680094514038024 relative_absolute_error 0.007418197912575939 relative_absolute_error 0.04617039404605497 relative_absolute_error 0.05894766859022811 relative_absolute_error 0.022235276915381644 relative_absolute_error 0.06366991254699961 relative_absolute_error 0.0354264213431395 relative_absolute_error 0.03155491253824227 relative_absolute_error 0.07122552892876736 relative_absolute_error 0.0413566206905593 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 0.07286678593549048 root_mean_squared_error 0.012577607195578891 root_mean_squared_error 0.10495629788430148 root_mean_squared_error 0.13024122336020572 root_mean_squared_error 0.03563467741972899 root_mean_squared_error 0.1310137631788471 root_mean_squared_error 0.07259593329769612 root_mean_squared_error 0.05228793840946564 root_mean_squared_error 0.11822809390724408 root_mean_squared_error 0.09084381330660801 root_relative_squared_error 0.146720973434953 root_relative_squared_error 0.02532565074095006 root_relative_squared_error 0.21118208478935954 root_relative_squared_error 0.2620577671770071 root_relative_squared_error 0.07170037072563583 root_relative_squared_error 0.26361219099694144 root_relative_squared_error 0.14606994387260905 root_relative_squared_error 0.10520832065571739 root_relative_squared_error 0.23788620459466914 root_relative_squared_error 0.18278641940527435 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 0.986842105263158 [0.973684,1] unweighted_recall 1 [1,1] unweighted_recall 0.9786453839516824 [0.973684,0.983607] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 0.993421052631579 [0.986842,1] usercpu_time_millis 181.96312500001 usercpu_time_millis 190.37351500000455 usercpu_time_millis 148.0451160000058 usercpu_time_millis 174.59693899999706 usercpu_time_millis 137.30662400000426 usercpu_time_millis 182.1398239999894 usercpu_time_millis 128.68604699998798 usercpu_time_millis 158.54653399999563 usercpu_time_millis 136.96232500001315 usercpu_time_millis 137.47007999999994 usercpu_time_millis_testing 5.650693000006868 usercpu_time_millis_testing 5.8717900000004875 usercpu_time_millis_testing 5.64641500000107 usercpu_time_millis_testing 5.661220999996885 usercpu_time_millis_testing 5.619398000007436 usercpu_time_millis_testing 5.681864999999675 usercpu_time_millis_testing 5.73182399999439 usercpu_time_millis_testing 5.990448999995124 usercpu_time_millis_testing 5.645615000005932 usercpu_time_millis_testing 3.8106720000001815 usercpu_time_millis_training 176.31243200000313 usercpu_time_millis_training 184.50172500000406 usercpu_time_millis_training 142.39870100000473 usercpu_time_millis_training 168.93571800000018 usercpu_time_millis_training 131.68722599999683 usercpu_time_millis_training 176.45795899998973 usercpu_time_millis_training 122.95422299999359 usercpu_time_millis_training 152.5560850000005 usercpu_time_millis_training 131.31671000000722 usercpu_time_millis_training 133.65940799999976 wall_clock_time_millis 182.76500701904297 wall_clock_time_millis 198.61912727355957 wall_clock_time_millis 157.55772590637207 wall_clock_time_millis 187.16740608215332 wall_clock_time_millis 140.5353546142578 wall_clock_time_millis 195.38259506225586 wall_clock_time_millis 130.63979148864746 wall_clock_time_millis 160.97283363342285 wall_clock_time_millis 137.25638389587402 wall_clock_time_millis 137.91370391845703 wall_clock_time_millis_testing 5.736351013183594 wall_clock_time_millis_testing 5.877494812011719 wall_clock_time_millis_testing 5.652189254760742 wall_clock_time_millis_testing 5.660533905029297 wall_clock_time_millis_testing 5.645036697387695 wall_clock_time_millis_testing 5.689382553100586 wall_clock_time_millis_testing 5.757570266723633 wall_clock_time_millis_testing 8.096694946289062 wall_clock_time_millis_testing 5.652666091918945 wall_clock_time_millis_testing 3.8166046142578125 wall_clock_time_millis_training 177.02865600585938 wall_clock_time_millis_training 192.74163246154785 wall_clock_time_millis_training 151.90553665161133 wall_clock_time_millis_training 181.50687217712402 wall_clock_time_millis_training 134.89031791687012 wall_clock_time_millis_training 189.69321250915527 wall_clock_time_millis_training 124.88222122192383 wall_clock_time_millis_training 152.8761386871338 wall_clock_time_millis_training 131.60371780395508 wall_clock_time_millis_training 134.09709930419922 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [0.986842,0.983607] weighted_recall 0.9854014598540146 [0.973684,1] weighted_recall 1 [1,1] weighted_recall 0.9781021897810219 [0.973684,0.983607] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 0.9927007299270073 [0.986842,1]