10581201 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) 8297483 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 "most_frequent" 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 0.452806176938419 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 295 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 34 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 1 19040 random_state 19248 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.017840844466423103 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 22088669 description https://api.openml.org/data/download/22088669/description.xml -1 22088670 predictions https://api.openml.org/data/download/22088670/predictions.arff area_under_roc_curve 0.9992233552773117 [0.999223,0.999223] average_cost 0 f_measure 0.9898036992932947 [0.990753,0.988618] kappa 0.9793719661497486 kb_relative_information_score 0.9520989867554458 mean_absolute_error 0.02796747984335483 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9897959183673469 [0.984252,0.996721] number_of_instances 1372 [762,610] precision 0.9899176039667754 [0.99734,0.980645] predictive_accuracy 0.989795918367347 prior_entropy 0.9911281447384036 relative_absolute_error 0.05662900085299 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.09164174190355333 root_relative_squared_error 0.1844187347175297 total_cost 0 unweighted_recall 0.9904866399896735 [0.984252,0.996721] area_under_roc_curve 0.9980838833297848 [0.998084,0.998084] area_under_roc_curve 0.9929742388758783 [0.992974,0.992974] area_under_roc_curve 1 [1,1] 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] 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 0.9783057875035991 [0.980132,0.976] f_measure 0.956632160110421 [0.96,0.952381] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] 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 0.985421866415509 [0.986667,0.983871] kappa 0.9561533573395468 kappa 0.912455064495665 kappa 0.9852481964035749 kappa 0.9852003888948904 kappa 1 kappa 0.9852481964035749 kappa 1 kappa 1 kappa 1 kappa 0.9705439690389164 kb_relative_information_score 0.8630864515996254 kb_relative_information_score 0.8312041925665216 kb_relative_information_score 0.9850912770836671 kb_relative_information_score 0.9742431996317964 kb_relative_information_score 0.9721641339742716 kb_relative_information_score 0.9607444487718512 kb_relative_information_score 0.9976573749667805 kb_relative_information_score 0.9943365774714907 kb_relative_information_score 0.9937821848415664 kb_relative_information_score 0.9499916312978857 mean_absolute_error 0.081432239686673 mean_absolute_error 0.09595869094810504 mean_absolute_error 0.008288104434046286 mean_absolute_error 0.014309765947583371 mean_absolute_error 0.01676636503886168 mean_absolute_error 0.023334396419470698 mean_absolute_error 0.001590070304867354 mean_absolute_error 0.003703393500171403 mean_absolute_error 0.0040271395443860665 mean_absolute_error 0.02937809267545526 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 0.9792798913043478 [1,0.953125] precision 0.9583543317909012 [0.986301,0.923077] precision 0.9928184600894748 [1,0.983871] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 0.9858649055729347 [1,0.968254] predictive_accuracy 0.9782608695652173 predictive_accuracy 0.9565217391304348 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 0.16498055167720266 relative_absolute_error 0.19441093394649042 relative_absolute_error 0.01677944699831145 relative_absolute_error 0.02897043119888567 relative_absolute_error 0.03394386928430329 relative_absolute_error 0.047240991118514 relative_absolute_error 0.0032191317829576584 relative_absolute_error 0.007497600379497118 relative_absolute_error 0.00815303126035064 relative_absolute_error 0.05947658513258189 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 0.14191249797887448 root_mean_squared_error 0.190004670030158 root_mean_squared_error 0.049529928855037146 root_mean_squared_error 0.08882939030876318 root_mean_squared_error 0.05791766280301714 root_mean_squared_error 0.07879447787100834 root_mean_squared_error 0.006178235586523793 root_mean_squared_error 0.018112711460727095 root_mean_squared_error 0.020432428807499983 root_mean_squared_error 0.08223512518260516 root_relative_squared_error 0.2857480205656351 root_relative_squared_error 0.38258405096516995 root_relative_squared_error 0.0996589423019264 root_relative_squared_error 0.17873320814584662 root_relative_squared_error 0.11653586324425552 root_relative_squared_error 0.15854200693160567 root_relative_squared_error 0.012431199439981938 root_relative_squared_error 0.03644450351784558 root_relative_squared_error 0.0411119961341873 root_relative_squared_error 0.1654649175804635 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 0.9805194805194806 [0.961039,1] unweighted_recall 0.9593357462209922 [0.935065,0.983607] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.986842105263158 [0.973684,1] usercpu_time_millis 41.3462289999984 usercpu_time_millis 41.04709300000309 usercpu_time_millis 105.35660599998664 usercpu_time_millis 102.41189900000336 usercpu_time_millis 74.64212099999656 usercpu_time_millis 69.98660099999654 usercpu_time_millis 118.10379499999613 usercpu_time_millis 111.15172099999882 usercpu_time_millis 106.64744700000028 usercpu_time_millis 41.176989000007325 usercpu_time_millis_testing 5.380238000000759 usercpu_time_millis_testing 5.8150250000039705 usercpu_time_millis_testing 5.866928999992638 usercpu_time_millis_testing 6.0652869999984205 usercpu_time_millis_testing 5.409396000004563 usercpu_time_millis_testing 5.607611000002066 usercpu_time_millis_testing 5.472689999990621 usercpu_time_millis_testing 5.5688220000007504 usercpu_time_millis_testing 5.697322000003169 usercpu_time_millis_testing 3.5576050000116766 usercpu_time_millis_training 35.96599099999764 usercpu_time_millis_training 35.23206799999912 usercpu_time_millis_training 99.489676999994 usercpu_time_millis_training 96.34661200000494 usercpu_time_millis_training 69.232724999992 usercpu_time_millis_training 64.37898999999447 usercpu_time_millis_training 112.6311050000055 usercpu_time_millis_training 105.58289899999806 usercpu_time_millis_training 100.95012499999712 usercpu_time_millis_training 37.61938399999565 wall_clock_time_millis 41.41426086425781 wall_clock_time_millis 48.94852638244629 wall_clock_time_millis 105.55911064147949 wall_clock_time_millis 110.0919246673584 wall_clock_time_millis 77.72660255432129 wall_clock_time_millis 70.18494606018066 wall_clock_time_millis 118.59869956970215 wall_clock_time_millis 112.49470710754395 wall_clock_time_millis 106.84037208557129 wall_clock_time_millis 41.235923767089844 wall_clock_time_millis_testing 5.386114120483398 wall_clock_time_millis_testing 5.833864212036133 wall_clock_time_millis_testing 5.872964859008789 wall_clock_time_millis_testing 6.100654602050781 wall_clock_time_millis_testing 5.416154861450195 wall_clock_time_millis_testing 5.613565444946289 wall_clock_time_millis_testing 5.479574203491211 wall_clock_time_millis_testing 5.575418472290039 wall_clock_time_millis_testing 5.701541900634766 wall_clock_time_millis_testing 3.5619735717773438 wall_clock_time_millis_training 36.028146743774414 wall_clock_time_millis_training 43.114662170410156 wall_clock_time_millis_training 99.6861457824707 wall_clock_time_millis_training 103.99127006530762 wall_clock_time_millis_training 72.3104476928711 wall_clock_time_millis_training 64.57138061523438 wall_clock_time_millis_training 113.11912536621094 wall_clock_time_millis_training 106.9192886352539 wall_clock_time_millis_training 101.13883018493652 wall_clock_time_millis_training 37.6739501953125 weighted_recall 0.9782608695652174 [0.961039,1] weighted_recall 0.9565217391304348 [0.935065,0.983607] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [0.973684,1]