10589146 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304108 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19172 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 0 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22105859 description https://api.openml.org/data/download/22105859/description.xml -1 22105860 predictions https://api.openml.org/data/download/22105860/predictions.arff area_under_roc_curve 0.6422786804630998 [0.642273,0.642297] average_cost 0 f_measure 0.7179614106084694 [0.836667,0.337838] kappa 0.18278706800445918 kb_relative_information_score 0.0737626889065548 mean_absolute_error 0.3052563990632952 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7379679144385026 [0.880702,0.280899] number_of_instances 748 [570,178] precision 0.7080403810214378 [0.796825,0.423729] predictive_accuracy 0.7379679144385026 prior_entropy 0.7916465694609683 relative_absolute_error 0.840823496447694 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.45784625027216 root_relative_squared_error 1.0751603646215202 total_cost 0 unweighted_recall 0.5808003153952297 [0.880702,0.280899] area_under_roc_curve 0.7080896686159844 [0.70809,0.70809] area_under_roc_curve 0.6535087719298246 [0.653509,0.653509] area_under_roc_curve 0.557504873294347 [0.557505,0.557505] area_under_roc_curve 0.6390058479532164 [0.638889,0.639376] area_under_roc_curve 0.729044834307992 [0.729045,0.729045] area_under_roc_curve 0.601364522417154 [0.601365,0.601365] area_under_roc_curve 0.6481481481481481 [0.648148,0.648148] area_under_roc_curve 0.6135477582846004 [0.613548,0.613548] area_under_roc_curve 0.7260061919504642 [0.726006,0.726006] area_under_roc_curve 0.5727554179566563 [0.572755,0.572755] 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 0.6933050847457627 [0.813559,0.3125] f_measure 0.7039812646370024 [0.836066,0.285714] f_measure 0.6651923624964378 [0.809917,0.206897] f_measure 0.7033017077798862 [0.823529,0.322581] f_measure 0.804119241192412 [0.894309,0.518519] f_measure 0.6534417344173442 [0.813008,0.148148] f_measure 0.7133333333333334 [0.833333,0.333333] f_measure 0.7420000000000001 [0.85,0.4] f_measure 0.8180761406567857 [0.888889,0.580645] f_measure 0.6781347103927748 [0.803419,0.258065] kappa 0.12974683544303786 kappa 0.1379310344827585 kappa 0.030354131534570148 kappa 0.15185783521809348 kappa 0.42680776014109345 kappa -0.01410934744268069 kappa 0.17491749174917487 kappa 0.25742574257425754 kappa 0.47084708470847086 kappa 0.0638063806380636 kb_relative_information_score 0.11175408501268859 kb_relative_information_score 0.06633082523395192 kb_relative_information_score -0.025767605236550906 kb_relative_information_score 0.04183498479441616 kb_relative_information_score 0.25908565612159007 kb_relative_information_score -0.016271777980192016 kb_relative_information_score 0.049756007711808256 kb_relative_information_score 0.07410194306811177 kb_relative_information_score 0.2526748753808987 kb_relative_information_score -0.07482080815389122 mean_absolute_error 0.28775215780388197 mean_absolute_error 0.3069581351981351 mean_absolute_error 0.3360269841269841 mean_absolute_error 0.31597027846705267 mean_absolute_error 0.25728253968253956 mean_absolute_error 0.33790945533769057 mean_absolute_error 0.30532619047619053 mean_absolute_error 0.3128120247568523 mean_absolute_error 0.2489179639914934 mean_absolute_error 0.343365198990199 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.6837470725995316 [0.786885,0.357143] precision 0.6923076923076924 [0.784615,0.4] precision 0.6473295454545455 [0.765625,0.272727] precision 0.6929528535980148 [0.790323,0.384615] precision 0.82 [0.833333,0.777778] precision 0.629090909090909 [0.757576,0.222222] precision 0.7031746031746031 [0.793651,0.416667] precision 0.7352380952380952 [0.809524,0.5] precision 0.8152509652509653 [0.866667,0.642857] precision 0.669015444015444 [0.783333,0.285714] predictive_accuracy 0.7066666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.72 predictive_accuracy 0.8266666666666667 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.76 predictive_accuracy 0.8243243243243243 predictive_accuracy 0.6891891891891891 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 relative_absolute_error 0.7902963173901837 relative_absolute_error 0.8430445341973092 relative_absolute_error 0.9228806140883182 relative_absolute_error 0.8677959163991847 relative_absolute_error 0.7066130978537593 relative_absolute_error 0.928050723243254 relative_absolute_error 0.8385624829981793 relative_absolute_error 0.8591219370427682 relative_absolute_error 0.6938697640144589 relative_absolute_error 0.9571455823182338 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.43623248428310624 root_mean_squared_error 0.44840758148145643 root_mean_squared_error 0.4995026186359661 root_mean_squared_error 0.4757893238018332 root_mean_squared_error 0.39146285332439895 root_mean_squared_error 0.47904724989046793 root_mean_squared_error 0.48491778691768167 root_mean_squared_error 0.44481346538956723 root_mean_squared_error 0.3992477169580835 root_mean_squared_error 0.5037578205208333 root_relative_squared_error 1.0214179106684782 root_relative_squared_error 1.0499253299702787 root_relative_squared_error 1.1695619640500496 root_relative_squared_error 1.1140383959133253 root_relative_squared_error 0.9165919186509633 root_relative_squared_error 1.121666677113049 root_relative_squared_error 1.1354122643420532 root_relative_squared_error 1.0415098756390624 root_relative_squared_error 0.9488865362236417 root_relative_squared_error 1.1972742563228485 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 0.5599415204678362 [0.842105,0.277778] unweighted_recall 0.5584795321637427 [0.894737,0.222222] unweighted_recall 0.5131578947368421 [0.859649,0.166667] unweighted_recall 0.5687134502923976 [0.859649,0.277778] unweighted_recall 0.6769005847953217 [0.964912,0.388889] unweighted_recall 0.4941520467836257 [0.877193,0.111111] unweighted_recall 0.577485380116959 [0.877193,0.277778] unweighted_recall 0.6140350877192983 [0.894737,0.333333] unweighted_recall 0.7208462332301342 [0.912281,0.529412] unweighted_recall 0.5299277605779154 [0.824561,0.235294] usercpu_time_millis 187.5 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 203.125 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 187.5 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 171.875 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 187.5 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 140.625 usercpu_time_millis_training 171.875 wall_clock_time_millis 178.8768768310547 wall_clock_time_millis 174.92151260375977 wall_clock_time_millis 181.87284469604492 wall_clock_time_millis 171.90265655517578 wall_clock_time_millis 190.90986251831055 wall_clock_time_millis 171.90051078796387 wall_clock_time_millis 173.87723922729492 wall_clock_time_millis 171.92316055297852 wall_clock_time_millis 169.90137100219727 wall_clock_time_millis 178.88212203979492 wall_clock_time_millis_testing 17.988920211791992 wall_clock_time_millis_testing 15.990734100341797 wall_clock_time_millis_testing 19.98758316040039 wall_clock_time_millis_testing 16.99066162109375 wall_clock_time_millis_testing 17.989158630371094 wall_clock_time_millis_testing 15.990018844604492 wall_clock_time_millis_testing 15.967607498168945 wall_clock_time_millis_testing 14.989852905273438 wall_clock_time_millis_testing 16.00956916809082 wall_clock_time_millis_testing 16.997337341308594 wall_clock_time_millis_training 160.8879566192627 wall_clock_time_millis_training 158.93077850341797 wall_clock_time_millis_training 161.88526153564453 wall_clock_time_millis_training 154.91199493408203 wall_clock_time_millis_training 172.92070388793945 wall_clock_time_millis_training 155.91049194335938 wall_clock_time_millis_training 157.90963172912598 wall_clock_time_millis_training 156.93330764770508 wall_clock_time_millis_training 153.89180183410645 wall_clock_time_millis_training 161.88478469848633 weighted_recall 0.7066666666666667 [0.842105,0.277778] weighted_recall 0.7333333333333333 [0.894737,0.222222] weighted_recall 0.6933333333333334 [0.859649,0.166667] weighted_recall 0.72 [0.859649,0.277778] weighted_recall 0.8266666666666667 [0.964912,0.388889] weighted_recall 0.6933333333333334 [0.877193,0.111111] weighted_recall 0.7333333333333333 [0.877193,0.277778] weighted_recall 0.76 [0.894737,0.333333] weighted_recall 0.8243243243243243 [0.912281,0.529412] weighted_recall 0.6891891891891891 [0.824561,0.235294]