10581147 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) 8297429 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 0.534345324281661 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 168 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 12 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 16 19040 random_state 48769 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1806748808190796 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 22088561 description https://api.openml.org/data/download/22088561/description.xml -1 22088562 predictions https://api.openml.org/data/download/22088562/predictions.arff area_under_roc_curve 0.9999591239619637 [0.999959,0.999959] average_cost 0 f_measure 0.9978139365137135 [0.998028,0.997547] kappa 0.9955746503586728 kb_relative_information_score 0.9951966429152133 mean_absolute_error 0.0024210055212974353 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9978134110787172 [0.996063,1] number_of_instances 1372 [762,610] precision 0.9978241121664232 [1,0.995106] predictive_accuracy 0.9978134110787172 prior_entropy 0.9911281447384036 relative_absolute_error 0.004902090731754694 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.0463614650971699 root_relative_squared_error 0.09329725248860067 total_cost 0 unweighted_recall 0.9980314960629921 [0.996063,1] area_under_roc_curve 0.999787098147754 [0.999787,0.999787] 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 0.9997842968075926 [0.999784,0.999784] area_under_roc_curve 0.9995685936151854 [0.999569,0.999569] 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 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 1 [1,1] f_measure 1 [1,1] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] kappa 0.9853347502656747 kappa 1 kappa 1 kappa 1 kappa 0.9852481964035749 kappa 0.9852481964035749 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9841873683344453 kb_relative_information_score 0.9995067881420373 kb_relative_information_score 0.9992679352902701 kb_relative_information_score 0.9998858799520286 kb_relative_information_score 0.984281556565739 kb_relative_information_score 0.9851153623744762 kb_relative_information_score 0.9998622254141165 kb_relative_information_score 0.9999960995554831 kb_relative_information_score 0.9999097132407833 kb_relative_information_score 0.9999953597510596 mean_absolute_error 0.00793259717012825 mean_absolute_error 0.00033081548723449216 mean_absolute_error 0.0004927316463303205 mean_absolute_error 0.00007804158179611785 mean_absolute_error 0.007870731901243218 mean_absolute_error 0.007318301011195541 mean_absolute_error 0.00009415632714506639 mean_absolute_error 0.0000026797830003859115 mean_absolute_error 0.00006183836248911507 mean_absolute_error 0.000003188207997457673 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 1 [1,1] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 0.016071328289585997 relative_absolute_error 0.0006702274405973538 relative_absolute_error 0.0009975458936095957 relative_absolute_error 0.00015799687320940846 relative_absolute_error 0.015934467262782095 relative_absolute_error 0.014816058956811992 relative_absolute_error 0.0001906215243133714 relative_absolute_error 0.000005425278744949308 relative_absolute_error 0.0001251931046604718 relative_absolute_error 0.000006454596167149956 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 0.0854770418639554 root_mean_squared_error 0.003873466040101913 root_mean_squared_error 0.004468258268383018 root_mean_squared_error 0.0008632026994578348 root_mean_squared_error 0.0826759702145317 root_mean_squared_error 0.08539914572454456 root_mean_squared_error 0.0010102744878706046 root_mean_squared_error 0.00002741085438506446 root_mean_squared_error 0.0006332219822593511 root_mean_squared_error 0.00002454823415375972 root_relative_squared_error 0.17211236405737246 root_relative_squared_error 0.007799420554573686 root_relative_squared_error 0.008990561934021472 root_relative_squared_error 0.0017368461859073863 root_relative_squared_error 0.1663519398439003 root_relative_squared_error 0.17183122877695495 root_relative_squared_error 0.002032768655704731 root_relative_squared_error 0.00005515325417895952 root_relative_squared_error 0.0012741030413953097 root_relative_squared_error 0.000049393389162821644 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 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 217.096760000004 usercpu_time_millis 280.501385000008 usercpu_time_millis 244.14311399999633 usercpu_time_millis 292.8745309999954 usercpu_time_millis 286.793363000001 usercpu_time_millis 223.80349900001306 usercpu_time_millis 293.1807060000011 usercpu_time_millis 284.6591790000019 usercpu_time_millis 287.82124100000317 usercpu_time_millis 264.4715870000027 usercpu_time_millis_testing 6.003341999999634 usercpu_time_millis_testing 5.713836000012407 usercpu_time_millis_testing 5.837182999997026 usercpu_time_millis_testing 5.856059999999275 usercpu_time_millis_testing 5.832935000000816 usercpu_time_millis_testing 5.722716000008177 usercpu_time_millis_testing 5.772002000000498 usercpu_time_millis_testing 6.052361000001838 usercpu_time_millis_testing 5.672324000002504 usercpu_time_millis_testing 3.8025129999965657 usercpu_time_millis_training 211.09341800000436 usercpu_time_millis_training 274.7875489999956 usercpu_time_millis_training 238.3059309999993 usercpu_time_millis_training 287.0184709999961 usercpu_time_millis_training 280.9604280000002 usercpu_time_millis_training 218.08078300000489 usercpu_time_millis_training 287.4087040000006 usercpu_time_millis_training 278.6068180000001 usercpu_time_millis_training 282.14891700000067 usercpu_time_millis_training 260.66907400000616 wall_clock_time_millis 221.56620025634766 wall_clock_time_millis 294.64221000671387 wall_clock_time_millis 257.1084499359131 wall_clock_time_millis 310.17255783081055 wall_clock_time_millis 292.8733825683594 wall_clock_time_millis 226.28498077392578 wall_clock_time_millis 304.46720123291016 wall_clock_time_millis 287.4424457550049 wall_clock_time_millis 292.3262119293213 wall_clock_time_millis 267.11034774780273 wall_clock_time_millis_testing 6.094455718994141 wall_clock_time_millis_testing 5.736112594604492 wall_clock_time_millis_testing 5.974292755126953 wall_clock_time_millis_testing 5.863189697265625 wall_clock_time_millis_testing 5.839347839355469 wall_clock_time_millis_testing 5.728960037231445 wall_clock_time_millis_testing 5.77855110168457 wall_clock_time_millis_testing 6.057977676391602 wall_clock_time_millis_testing 5.678653717041016 wall_clock_time_millis_testing 3.8063526153564453 wall_clock_time_millis_training 215.47174453735352 wall_clock_time_millis_training 288.9060974121094 wall_clock_time_millis_training 251.13415718078613 wall_clock_time_millis_training 304.3093681335449 wall_clock_time_millis_training 287.0340347290039 wall_clock_time_millis_training 220.55602073669434 wall_clock_time_millis_training 298.6886501312256 wall_clock_time_millis_training 281.3844680786133 wall_clock_time_millis_training 286.6475582122803 wall_clock_time_millis_training 263.3039951324463 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1]