10581136 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) 8297418 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 0.40373300512022964 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 982 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 18 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 19 19040 random_state 42079 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.20009308206945747 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 22088539 description https://api.openml.org/data/download/22088539/description.xml -1 22088540 predictions https://api.openml.org/data/download/22088540/predictions.arff area_under_roc_curve 0.9999763349253475 [0.999976,0.999976] average_cost 0 f_measure 0.9978139365137135 [0.998028,0.997547] kappa 0.9955746503586728 kb_relative_information_score 0.99327808976111 mean_absolute_error 0.003507136702562346 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 0.007101306532921128 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.04718894598908643 root_relative_squared_error 0.09496246504262196 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 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 0.9927593990347404 [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 0.9841520942029885 kb_relative_information_score 0.9989431516879813 kb_relative_information_score 0.998140300538592 kb_relative_information_score 0.9943843149720704 kb_relative_information_score 0.9870863416269937 kb_relative_information_score 0.9837687702840897 kb_relative_information_score 0.9999538885891649 kb_relative_information_score 0.9994132101471382 kb_relative_information_score 0.9984265685320013 kb_relative_information_score 0.988533882652421 mean_absolute_error 0.007979480032633903 mean_absolute_error 0.0007043491586861743 mean_absolute_error 0.0011826231956195768 mean_absolute_error 0.0031325011251166707 mean_absolute_error 0.0060824815774933655 mean_absolute_error 0.008144760101809114 mean_absolute_error 0.00003167051334239529 mean_absolute_error 0.00040013002361969486 mean_absolute_error 0.0010599290522053876 mean_absolute_error 0.006341255706511776 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 0.016166312297764454 relative_absolute_error 0.001427001310789641 relative_absolute_error 0.0023942462824620317 relative_absolute_error 0.006341816397140323 relative_absolute_error 0.012314115737792326 relative_absolute_error 0.016489243291972808 relative_absolute_error 0.00006411764044080692 relative_absolute_error 0.00081007190210826 relative_absolute_error 0.002145849330806281 relative_absolute_error 0.012838009568637652 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 0.08404126336023114 root_mean_squared_error 0.006353384400159819 root_mean_squared_error 0.013072601829862201 root_mean_squared_error 0.032731318948117184 root_mean_squared_error 0.070950297411499 root_mean_squared_error 0.08112894989563257 root_mean_squared_error 0.00017061490721573857 root_mean_squared_error 0.002460591396997368 root_mean_squared_error 0.006387356207963471 root_mean_squared_error 0.047332447248572385 root_relative_squared_error 0.16922135113565662 root_relative_squared_error 0.012792862095264566 root_relative_squared_error 0.026303322084537995 root_relative_squared_error 0.06585853648333317 root_relative_squared_error 0.14275876746626903 root_relative_squared_error 0.1632391873674671 root_relative_squared_error 0.00034329347098047765 root_relative_squared_error 0.004950944645603676 root_relative_squared_error 0.012851970081651868 root_relative_squared_error 0.09523739965709087 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 162.12306799999965 usercpu_time_millis 226.06754199999557 usercpu_time_millis 290.1763169999896 usercpu_time_millis 221.33849099999736 usercpu_time_millis 289.9615530000119 usercpu_time_millis 184.36286600000074 usercpu_time_millis 231.9716009999837 usercpu_time_millis 144.04389099998127 usercpu_time_millis 156.77772799999445 usercpu_time_millis 128.39767299999494 usercpu_time_millis_testing 5.493240999996374 usercpu_time_millis_testing 5.633004999992863 usercpu_time_millis_testing 6.43071499999337 usercpu_time_millis_testing 6.089039000002572 usercpu_time_millis_testing 5.714745000005905 usercpu_time_millis_testing 5.5219620000031 usercpu_time_millis_testing 5.8883509999958505 usercpu_time_millis_testing 5.526999999986515 usercpu_time_millis_testing 5.753024000000551 usercpu_time_millis_testing 5.622533999996904 usercpu_time_millis_training 156.62982700000327 usercpu_time_millis_training 220.4345370000027 usercpu_time_millis_training 283.7456019999962 usercpu_time_millis_training 215.2494519999948 usercpu_time_millis_training 284.246808000006 usercpu_time_millis_training 178.84090399999764 usercpu_time_millis_training 226.08324999998786 usercpu_time_millis_training 138.51689099999476 usercpu_time_millis_training 151.0247039999939 usercpu_time_millis_training 122.77513899999803 wall_clock_time_millis 163.39421272277832 wall_clock_time_millis 227.73051261901855 wall_clock_time_millis 310.1639747619629 wall_clock_time_millis 223.76465797424316 wall_clock_time_millis 303.0586242675781 wall_clock_time_millis 190.16146659851074 wall_clock_time_millis 242.74468421936035 wall_clock_time_millis 144.17028427124023 wall_clock_time_millis 164.63232040405273 wall_clock_time_millis 128.82637977600098 wall_clock_time_millis_testing 5.499601364135742 wall_clock_time_millis_testing 5.638837814331055 wall_clock_time_millis_testing 6.436586380004883 wall_clock_time_millis_testing 6.235599517822266 wall_clock_time_millis_testing 5.721092224121094 wall_clock_time_millis_testing 5.527734756469727 wall_clock_time_millis_testing 5.8994293212890625 wall_clock_time_millis_testing 5.596160888671875 wall_clock_time_millis_testing 5.757808685302734 wall_clock_time_millis_testing 5.627870559692383 wall_clock_time_millis_training 157.89461135864258 wall_clock_time_millis_training 222.0916748046875 wall_clock_time_millis_training 303.727388381958 wall_clock_time_millis_training 217.5290584564209 wall_clock_time_millis_training 297.33753204345703 wall_clock_time_millis_training 184.63373184204102 wall_clock_time_millis_training 236.8452548980713 wall_clock_time_millis_training 138.57412338256836 wall_clock_time_millis_training 158.87451171875 wall_clock_time_millis_training 123.1985092163086 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]