10581268 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) 8297550 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 0.5688044878177637 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1376 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 22 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 17 19040 random_state 6020 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3227962239476216 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 22088803 description https://api.openml.org/data/download/22088803/description.xml -1 22088804 predictions https://api.openml.org/data/download/22088804/predictions.arff area_under_roc_curve 0.9999806376661934 [0.999981,0.999981] average_cost 0 f_measure 0.9978135886319252 [0.99803,0.997543] kappa 0.9955732034691631 kb_relative_information_score 0.9953286706996881 mean_absolute_error 0.0023449535444435153 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9978134110787172 [0.997375,0.998361] number_of_instances 1372 [762,610] precision 0.9978148391122271 [0.998686,0.996727] predictive_accuracy 0.9978134110787172 prior_entropy 0.9911281447384036 relative_absolute_error 0.004748099471682132 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.04289383749877333 root_relative_squared_error 0.08631904058554772 total_cost 0 unweighted_recall 0.9978679919108473 [0.997375,0.998361] 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 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 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 1 [1,1] kappa 0.9853347502656747 kappa 1 kappa 1 kappa 0.9852003888948904 kappa 1 kappa 0.9852481964035749 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9850363430224297 kb_relative_information_score 0.9993189761927401 kb_relative_information_score 0.9983669495943228 kb_relative_information_score 0.9867783910946599 kb_relative_information_score 0.999884142927995 kb_relative_information_score 0.985131668628002 kb_relative_information_score 0.999970030092164 kb_relative_information_score 0.9999415853696613 kb_relative_information_score 0.999691356474572 kb_relative_information_score 0.9992066417469404 mean_absolute_error 0.007387525598057958 mean_absolute_error 0.0004600648849905984 mean_absolute_error 0.0010409320027154998 mean_absolute_error 0.006354471920835009 mean_absolute_error 0.00007930699199732965 mean_absolute_error 0.0073071201217015 mean_absolute_error 0.000020574834214618577 mean_absolute_error 0.00004006156232158514 mean_absolute_error 0.0002099466786476684 mean_absolute_error 0.0005264820650543862 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 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 1 [1,1] predictive_accuracy 0.9927536231884058 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 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 0.014967021088780442 relative_absolute_error 0.0009320848698882049 relative_absolute_error 0.0021073893925204583 relative_absolute_error 0.012864766080879952 relative_absolute_error 0.0001605587235783703 relative_absolute_error 0.014793423003784112 relative_absolute_error 0.000041654197645612026 relative_absolute_error 0.00008110550090117685 relative_absolute_error 0.0004250415996652974 relative_absolute_error 0.0010658743475592044 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 0.07966215133049397 root_mean_squared_error 0.0038078899257038903 root_mean_squared_error 0.012118445043331157 root_mean_squared_error 0.06770533563046117 root_mean_squared_error 0.0007764576723936031 root_mean_squared_error 0.0851306748829338 root_mean_squared_error 0.0001934873714792726 root_mean_squared_error 0.0003932942319391308 root_mean_squared_error 0.002050122411213976 root_mean_squared_error 0.005965544877491603 root_relative_squared_error 0.16040378670578637 root_relative_squared_error 0.007667379718477558 root_relative_squared_error 0.02438346759788617 root_relative_squared_error 0.1362295947744428 root_relative_squared_error 0.0015623069154700106 root_relative_squared_error 0.17129103982994184 root_relative_squared_error 0.00038931505124589316 root_relative_squared_error 0.0007913455172370225 root_relative_squared_error 0.004125041885059793 root_relative_squared_error 0.01200324544146859 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 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 1 [1,1] usercpu_time_millis 205.04321300001038 usercpu_time_millis 203.23098999998024 usercpu_time_millis 230.7380149999858 usercpu_time_millis 111.58192999999983 usercpu_time_millis 170.79861900003834 usercpu_time_millis 171.49516500001027 usercpu_time_millis 203.04951100001745 usercpu_time_millis 173.690640000018 usercpu_time_millis 147.10530499999663 usercpu_time_millis 132.62733600001297 usercpu_time_millis_testing 5.845898000018224 usercpu_time_millis_testing 5.866865999990978 usercpu_time_millis_testing 5.863892999997233 usercpu_time_millis_testing 5.526811999999381 usercpu_time_millis_testing 5.605463000023292 usercpu_time_millis_testing 5.814906000011888 usercpu_time_millis_testing 5.65279800002827 usercpu_time_millis_testing 5.793699000008701 usercpu_time_millis_testing 5.604779999998755 usercpu_time_millis_testing 3.8298020000127053 usercpu_time_millis_training 199.19731499999216 usercpu_time_millis_training 197.36412399998926 usercpu_time_millis_training 224.87412199998857 usercpu_time_millis_training 106.05511800000045 usercpu_time_millis_training 165.19315600001505 usercpu_time_millis_training 165.6802589999984 usercpu_time_millis_training 197.39671299998918 usercpu_time_millis_training 167.8969410000093 usercpu_time_millis_training 141.50052499999788 usercpu_time_millis_training 128.79753400000027 wall_clock_time_millis 217.39649772644043 wall_clock_time_millis 206.43138885498047 wall_clock_time_millis 244.3070411682129 wall_clock_time_millis 111.90438270568848 wall_clock_time_millis 171.07367515563965 wall_clock_time_millis 184.39030647277832 wall_clock_time_millis 207.50975608825684 wall_clock_time_millis 176.649808883667 wall_clock_time_millis 150.9706974029541 wall_clock_time_millis 134.38796997070312 wall_clock_time_millis_testing 5.85174560546875 wall_clock_time_millis_testing 5.872488021850586 wall_clock_time_millis_testing 5.871295928955078 wall_clock_time_millis_testing 5.5332183837890625 wall_clock_time_millis_testing 5.612611770629883 wall_clock_time_millis_testing 5.822896957397461 wall_clock_time_millis_testing 5.666971206665039 wall_clock_time_millis_testing 5.811214447021484 wall_clock_time_millis_testing 5.610942840576172 wall_clock_time_millis_testing 3.835916519165039 wall_clock_time_millis_training 211.54475212097168 wall_clock_time_millis_training 200.55890083312988 wall_clock_time_millis_training 238.4357452392578 wall_clock_time_millis_training 106.37116432189941 wall_clock_time_millis_training 165.46106338500977 wall_clock_time_millis_training 178.56740951538086 wall_clock_time_millis_training 201.8427848815918 wall_clock_time_millis_training 170.8385944366455 wall_clock_time_millis_training 145.35975456237793 wall_clock_time_millis_training 130.5520534515381 weighted_recall 0.9927536231884058 [0.987013,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] 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 1 [1,1]