10581275 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) 8297557 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 0.29818636263973003 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1539 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 152 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 6510 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.06559224397506987 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 22088817 description https://api.openml.org/data/download/22088817/description.xml -1 22088818 predictions https://api.openml.org/data/download/22088818/predictions.arff area_under_roc_curve 0.9999720321845016 [0.999972,0.999972] average_cost 0 f_measure 0.9970850183684611 [0.997372,0.996727] kappa 0.9940985693762205 kb_relative_information_score 0.9928740135557892 mean_absolute_error 0.003728125063697507 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9970845481049563 [0.996063,0.998361] number_of_instances 1372 [762,610] precision 0.9970897757599281 [0.998684,0.995098] predictive_accuracy 0.9970845481049563 prior_entropy 0.9911281447384036 relative_absolute_error 0.007548767303834933 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.044292112188377634 root_relative_squared_error 0.0891329116849836 total_cost 0 unweighted_recall 0.9972118239318446 [0.996063,0.998361] 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 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 1 [1,1] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] kappa 0.9853347502656747 kappa 1 kappa 1 kappa 1 kappa 1 kappa 0.9705439690389164 kappa 1 kappa 1 kappa 0.9852003888948904 kappa 1 kb_relative_information_score 0.9863911009990137 kb_relative_information_score 0.995716929297032 kb_relative_information_score 0.9967157817778188 kb_relative_information_score 0.9916602503518671 kb_relative_information_score 0.9980221806163079 kb_relative_information_score 0.9711647362073008 kb_relative_information_score 0.9991940798638278 kb_relative_information_score 0.9995396804723446 kb_relative_information_score 0.9914196122994855 kb_relative_information_score 0.9989385281704445 mean_absolute_error 0.006708067355127515 mean_absolute_error 0.002511934690033507 mean_absolute_error 0.0021335857940428006 mean_absolute_error 0.004359588130904788 mean_absolute_error 0.0012948033852148196 mean_absolute_error 0.014332057061752992 mean_absolute_error 0.0005507527782476579 mean_absolute_error 0.00031565480880634987 mean_absolute_error 0.004342156131727473 mean_absolute_error 0.0007197763995277588 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 1 [1,1] precision 0.9858649055729347 [1,0.968254] precision 1 [1,1] precision 1 [1,1] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9854014598540146 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 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 0.01359044841692953 relative_absolute_error 0.005089143716707255 relative_absolute_error 0.0043194906666992276 relative_absolute_error 0.0088260806266496 relative_absolute_error 0.002621357506814082 relative_absolute_error 0.029015560042485417 relative_absolute_error 0.0011150109322726886 relative_absolute_error 0.0006390499994632069 relative_absolute_error 0.008790789166630248 relative_absolute_error 0.001457202915650909 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 0.06357029623224451 root_mean_squared_error 0.026018755634014526 root_mean_squared_error 0.014920410358943658 root_mean_squared_error 0.042310699777418415 root_mean_squared_error 0.010853957397963871 root_mean_squared_error 0.10377669412366466 root_mean_squared_error 0.0024489916369091077 root_mean_squared_error 0.0011373183510113767 root_mean_squared_error 0.04435971996796408 root_mean_squared_error 0.004318979720223299 root_relative_squared_error 0.12800201936998548 root_relative_squared_error 0.05239008562239095 root_relative_squared_error 0.030021289136816707 root_relative_squared_error 0.08513316464097935 root_relative_squared_error 0.021839197815872523 root_relative_squared_error 0.20880860948184388 root_relative_squared_error 0.004927604821620978 root_relative_squared_error 0.0022883930290733276 root_relative_squared_error 0.08925598875289621 root_relative_squared_error 0.00869019925307545 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 1 [1,1] unweighted_recall 0.986842105263158 [0.973684,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] usercpu_time_millis 275.3908050000291 usercpu_time_millis 277.69913600005225 usercpu_time_millis 273.0873140000085 usercpu_time_millis 271.0729139999728 usercpu_time_millis 268.79178100000445 usercpu_time_millis 269.2514439999911 usercpu_time_millis 273.455915999989 usercpu_time_millis 271.1355400000173 usercpu_time_millis 269.05917800002044 usercpu_time_millis 261.813898000014 usercpu_time_millis_testing 6.011947000018836 usercpu_time_millis_testing 6.353862000025856 usercpu_time_millis_testing 5.679396000004999 usercpu_time_millis_testing 6.157039999976632 usercpu_time_millis_testing 5.692035999999234 usercpu_time_millis_testing 6.014319000001933 usercpu_time_millis_testing 5.693318999988151 usercpu_time_millis_testing 5.931829000019206 usercpu_time_millis_testing 5.702510000020311 usercpu_time_millis_testing 3.8076570000100673 usercpu_time_millis_training 269.37885800001027 usercpu_time_millis_training 271.3452740000264 usercpu_time_millis_training 267.4079180000035 usercpu_time_millis_training 264.91587399999617 usercpu_time_millis_training 263.0997450000052 usercpu_time_millis_training 263.2371249999892 usercpu_time_millis_training 267.7625970000008 usercpu_time_millis_training 265.20371099999807 usercpu_time_millis_training 263.3566680000001 usercpu_time_millis_training 258.0062410000039 wall_clock_time_millis 279.45470809936523 wall_clock_time_millis 294.97504234313965 wall_clock_time_millis 278.6417007446289 wall_clock_time_millis 283.25533866882324 wall_clock_time_millis 275.01845359802246 wall_clock_time_millis 278.1810760498047 wall_clock_time_millis 287.5690460205078 wall_clock_time_millis 275.1476764678955 wall_clock_time_millis 271.7251777648926 wall_clock_time_millis 262.892484664917 wall_clock_time_millis_testing 6.027460098266602 wall_clock_time_millis_testing 6.359100341796875 wall_clock_time_millis_testing 5.711793899536133 wall_clock_time_millis_testing 6.361961364746094 wall_clock_time_millis_testing 5.697727203369141 wall_clock_time_millis_testing 6.01959228515625 wall_clock_time_millis_testing 5.69915771484375 wall_clock_time_millis_testing 5.9375762939453125 wall_clock_time_millis_testing 5.716800689697266 wall_clock_time_millis_testing 3.8115978240966797 wall_clock_time_millis_training 273.42724800109863 wall_clock_time_millis_training 288.6159420013428 wall_clock_time_millis_training 272.9299068450928 wall_clock_time_millis_training 276.89337730407715 wall_clock_time_millis_training 269.3207263946533 wall_clock_time_millis_training 272.16148376464844 wall_clock_time_millis_training 281.86988830566406 wall_clock_time_millis_training 269.2101001739502 wall_clock_time_millis_training 266.0083770751953 wall_clock_time_millis_training 259.0808868408203 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9854014598540146 [0.973684,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1]