10581176 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) 8297458 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 "mean" 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 0.3209215092382815 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1901 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 29 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 44025 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.08745335779040249 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 22088619 description https://api.openml.org/data/download/22088619/description.xml -1 22088620 predictions https://api.openml.org/data/download/22088620/predictions.arff area_under_roc_curve 0.9997934684393958 [0.999793,0.999793] average_cost 0 f_measure 0.9956268221574344 [0.996063,0.995082] kappa 0.991144959339099 kb_relative_information_score 0.9778227732877354 mean_absolute_error 0.012963410422961999 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9956268221574344 [0.996063,0.995082] number_of_instances 1372 [762,610] precision 0.9956268221574344 [0.996063,0.995082] predictive_accuracy 0.9956268221574344 prior_entropy 0.9911281447384036 relative_absolute_error 0.026248520925420467 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.06037527195790275 root_relative_squared_error 0.12149846818081331 total_cost 0 unweighted_recall 0.9955724796695495 [0.996063,0.995082] 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 0.9978429680759276 [0.997843,0.997843] area_under_roc_curve 0.9997842968075926 [0.999784,0.999784] 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] 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 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9780832644332389 [0.980392,0.975207] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 1 [1,1] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 1 [1,1] f_measure 1 [1,1] kappa 1 kappa 1 kappa 1 kappa 0.9556011666846711 kappa 0.9852003888948904 kappa 0.9852481964035749 kappa 1 kappa 0.9852481964035749 kappa 1 kappa 1 kb_relative_information_score 0.9892759151157136 kb_relative_information_score 0.989264047920099 kb_relative_information_score 0.9903747899355108 kb_relative_information_score 0.9452534383034826 kb_relative_information_score 0.9607372970567263 kb_relative_information_score 0.9714119827170155 kb_relative_information_score 0.9832128317297507 kb_relative_information_score 0.965810251089924 kb_relative_information_score 0.9925731220178226 kb_relative_information_score 0.9901710013713462 mean_absolute_error 0.006581032477089238 mean_absolute_error 0.005838564770893833 mean_absolute_error 0.005318902676514453 mean_absolute_error 0.030561567748614824 mean_absolute_error 0.023332409695754147 mean_absolute_error 0.016124868110507493 mean_absolute_error 0.010899915218677676 mean_absolute_error 0.019678652572553693 mean_absolute_error 0.004891604503258141 mean_absolute_error 0.00650517932873407 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 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 0.9781701267102726 [0.974026,0.983333] precision 0.992795525642241 [0.987013,1] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9781021897810218 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 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 0.013333077572880018 relative_absolute_error 0.011828848630609236 relative_absolute_error 0.01076823370892056 relative_absolute_error 0.06187255605958056 relative_absolute_error 0.04723696895330511 relative_absolute_error 0.0326451448540606 relative_absolute_error 0.022067114519767284 relative_absolute_error 0.03983985849441649 relative_absolute_error 0.009903159299242873 relative_absolute_error 0.01316987649342583 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 0.03570613457475238 root_mean_squared_error 0.043592936289651364 root_mean_squared_error 0.04119109813103324 root_mean_squared_error 0.11219878837289618 root_mean_squared_error 0.0708846684662348 root_mean_squared_error 0.08237573281065988 root_mean_squared_error 0.0326700412590621 root_mean_squared_error 0.07283412501540867 root_mean_squared_error 0.019446986553337306 root_mean_squared_error 0.02145927854436206 root_relative_squared_error 0.07189611501521535 root_relative_squared_error 0.0877765907359762 root_relative_squared_error 0.08288041931189145 root_relative_squared_error 0.22575466662846522 root_relative_squared_error 0.14262671576701133 root_relative_squared_error 0.16574783354290165 root_relative_squared_error 0.06573523992670356 root_relative_squared_error 0.14654920833353302 root_relative_squared_error 0.03912919230184361 root_relative_squared_error 0.04317811577223881 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 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9770276100086281 [0.986842,0.967213] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 164.23191700000928 usercpu_time_millis 146.1568349999851 usercpu_time_millis 175.48663099999828 usercpu_time_millis 84.89761399999907 usercpu_time_millis 82.08905700000457 usercpu_time_millis 95.48001999999656 usercpu_time_millis 87.46795199999724 usercpu_time_millis 86.50350299998877 usercpu_time_millis 136.60256100000367 usercpu_time_millis 104.7589360000103 usercpu_time_millis_testing 5.716238000005092 usercpu_time_millis_testing 5.382614999987823 usercpu_time_millis_testing 5.552577000003112 usercpu_time_millis_testing 5.461697000001209 usercpu_time_millis_testing 5.475576999998566 usercpu_time_millis_testing 5.298452000005227 usercpu_time_millis_testing 5.809451999994053 usercpu_time_millis_testing 5.3250619999971605 usercpu_time_millis_testing 5.373387000005891 usercpu_time_millis_testing 5.872260000003848 usercpu_time_millis_training 158.51567900000418 usercpu_time_millis_training 140.77421999999729 usercpu_time_millis_training 169.93405399999517 usercpu_time_millis_training 79.43591699999786 usercpu_time_millis_training 76.613480000006 usercpu_time_millis_training 90.18156799999133 usercpu_time_millis_training 81.65850000000319 usercpu_time_millis_training 81.17844099999161 usercpu_time_millis_training 131.22917399999778 usercpu_time_millis_training 98.88667600000645 wall_clock_time_millis 170.72081565856934 wall_clock_time_millis 148.32806587219238 wall_clock_time_millis 176.15890502929688 wall_clock_time_millis 85.24894714355469 wall_clock_time_millis 89.31136131286621 wall_clock_time_millis 97.9623794555664 wall_clock_time_millis 93.08028221130371 wall_clock_time_millis 88.63210678100586 wall_clock_time_millis 136.7626190185547 wall_clock_time_millis 106.48918151855469 wall_clock_time_millis_testing 5.720853805541992 wall_clock_time_millis_testing 5.411386489868164 wall_clock_time_millis_testing 5.558252334594727 wall_clock_time_millis_testing 5.597114562988281 wall_clock_time_millis_testing 5.486249923706055 wall_clock_time_millis_testing 5.3043365478515625 wall_clock_time_millis_testing 5.819559097290039 wall_clock_time_millis_testing 5.330085754394531 wall_clock_time_millis_testing 5.379438400268555 wall_clock_time_millis_testing 6.243705749511719 wall_clock_time_millis_training 164.99996185302734 wall_clock_time_millis_training 142.91667938232422 wall_clock_time_millis_training 170.60065269470215 wall_clock_time_millis_training 79.6518325805664 wall_clock_time_millis_training 83.82511138916016 wall_clock_time_millis_training 92.65804290771484 wall_clock_time_millis_training 87.26072311401367 wall_clock_time_millis_training 83.30202102661133 wall_clock_time_millis_training 131.38318061828613 wall_clock_time_millis_training 100.24547576904297 weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9781021897810219 [0.986842,0.967213] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1]