10591016 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304400 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 19170 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"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 38650 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22109628 description https://api.openml.org/data/download/22109628/description.xml -1 22109629 predictions https://api.openml.org/data/download/22109629/predictions.arff area_under_roc_curve 0.713591563177607 [0.713592,0.713592] average_cost 0 f_measure 0.7454322638146167 [0.861111,0.375] kappa 0.2519647983434513 kb_relative_information_score 0.12568088966849364 mean_absolute_error 0.3014719999727412 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7727272727272727 [0.924561,0.286517] number_of_instances 748 [570,178] precision 0.7431636292655226 [0.80581,0.542553] predictive_accuracy 0.7727272727272727 prior_entropy 0.7916465694609683 relative_absolute_error 0.8303994342985063 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4021128779520251 root_relative_squared_error 0.944281684563131 total_cost 0 unweighted_recall 0.605539128720678 [0.924561,0.286517] area_under_roc_curve 0.7612085769980507 [0.761209,0.761209] area_under_roc_curve 0.8070175438596491 [0.807018,0.807018] area_under_roc_curve 0.6461988304093567 [0.646199,0.646199] area_under_roc_curve 0.6218323586744638 [0.621832,0.621832] area_under_roc_curve 0.7777777777777778 [0.777778,0.777778] area_under_roc_curve 0.7110136452241715 [0.711014,0.711014] area_under_roc_curve 0.6954191033138402 [0.695419,0.695419] area_under_roc_curve 0.7324561403508771 [0.732456,0.732456] area_under_roc_curve 0.7352941176470589 [0.735294,0.735294] area_under_roc_curve 0.6965944272445821 [0.696594,0.696594] 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 0.7631850117096018 [0.868852,0.428571] f_measure 0.7438482384823847 [0.861789,0.37037] f_measure 0.6880383430332078 [0.850394,0.173913] f_measure 0.7490677966101694 [0.847458,0.4375] f_measure 0.7631850117096018 [0.868852,0.428571] f_measure 0.73344 [0.864,0.32] f_measure 0.7420000000000001 [0.85,0.4] f_measure 0.7434920634920635 [0.873016,0.333333] f_measure 0.7730340510001528 [0.864407,0.466667] f_measure 0.7373236651285431 [0.861789,0.32] kappa 0.3103448275862068 kappa 0.2504409171075837 kappa 0.07766990291262131 kappa 0.2879746835443037 kappa 0.3103448275862068 kappa 0.21441774491682059 kappa 0.25742574257425754 kappa 0.24242424242424218 kappa 0.3340832395950506 kappa 0.20278833967046886 kb_relative_information_score 0.17999718026359485 kb_relative_information_score 0.20551235900347722 kb_relative_information_score 0.025565715613576637 kb_relative_information_score 0.07376687034772965 kb_relative_information_score 0.219890482078201 kb_relative_information_score 0.09453760882973908 kb_relative_information_score 0.0912845869124272 kb_relative_information_score 0.1095736174694404 kb_relative_information_score 0.14579789070694893 kb_relative_information_score 0.11107357000243838 mean_absolute_error 0.2899176266987894 mean_absolute_error 0.2849327453216378 mean_absolute_error 0.32909676406138805 mean_absolute_error 0.321828824862702 mean_absolute_error 0.27779561052793506 mean_absolute_error 0.3056966955481369 mean_absolute_error 0.31061756672791363 mean_absolute_error 0.3049742227234015 mean_absolute_error 0.28604107145025304 mean_absolute_error 0.30364206022836127 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 0.7636923076923077 [0.815385,0.6] precision 0.7436363636363637 [0.80303,0.555556] precision 0.6822857142857144 [0.771429,0.4] precision 0.7429508196721312 [0.819672,0.5] precision 0.7636923076923077 [0.815385,0.6] precision 0.740672268907563 [0.794118,0.571429] precision 0.7352380952380952 [0.809524,0.5] precision 0.7657971014492753 [0.797101,0.666667] precision 0.767697079172489 [0.836066,0.538462] precision 0.7334152334152334 [0.80303,0.5] predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.76 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.76 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.7702702702702703 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 0.7962436649483372 relative_absolute_error 0.7825529478219871 relative_absolute_error 0.9038471255531014 relative_absolute_error 0.8838861090047837 relative_absolute_error 0.7629511787606239 relative_absolute_error 0.8395800558850979 relative_absolute_error 0.8530949723375387 relative_absolute_error 0.8375958218930387 relative_absolute_error 0.7973520575333518 relative_absolute_error 0.846415587276446 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 0.39230804604485425 root_mean_squared_error 0.378779097709922 root_mean_squared_error 0.4300419224139439 root_mean_squared_error 0.43483975656040086 root_mean_squared_error 0.3839224771673963 root_mean_squared_error 0.40397214891875827 root_mean_squared_error 0.4067109414410726 root_mean_squared_error 0.394987756525573 root_mean_squared_error 0.387747545046826 root_mean_squared_error 0.40378989522129777 root_relative_squared_error 0.9185708977819155 root_relative_squared_error 0.886893499514527 root_relative_squared_error 1.0069230002753309 root_relative_squared_error 1.018156903999079 root_relative_squared_error 0.8989364813843024 root_relative_squared_error 0.9458818478292607 root_relative_squared_error 0.9522946021212618 root_relative_squared_error 0.9248453142433816 root_relative_squared_error 0.9215542364324443 root_relative_squared_error 0.9596818685850395 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 0.631578947368421 [0.929825,0.333333] unweighted_recall 0.6038011695906433 [0.929825,0.277778] unweighted_recall 0.5292397660818713 [0.947368,0.111111] unweighted_recall 0.6330409356725146 [0.877193,0.388889] unweighted_recall 0.631578947368421 [0.929825,0.333333] unweighted_recall 0.5847953216374269 [0.947368,0.222222] unweighted_recall 0.6140350877192983 [0.894737,0.333333] unweighted_recall 0.5935672514619883 [0.964912,0.222222] unweighted_recall 0.653250773993808 [0.894737,0.411765] unweighted_recall 0.5825593395252838 [0.929825,0.235294] usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 93.75 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 wall_clock_time_millis 154.91104125976562 wall_clock_time_millis 136.92283630371094 wall_clock_time_millis 131.92129135131836 wall_clock_time_millis 123.9323616027832 wall_clock_time_millis 123.92616271972656 wall_clock_time_millis 123.9478588104248 wall_clock_time_millis 118.91293525695801 wall_clock_time_millis 119.93050575256348 wall_clock_time_millis 124.93348121643066 wall_clock_time_millis 121.93155288696289 wall_clock_time_millis_testing 3.996133804321289 wall_clock_time_millis_testing 2.9981136322021484 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 5.002021789550781 wall_clock_time_millis_testing 2.978801727294922 wall_clock_time_millis_training 150.91490745544434 wall_clock_time_millis_training 133.9247226715088 wall_clock_time_millis_training 128.9224624633789 wall_clock_time_millis_training 120.93400955200195 wall_clock_time_millis_training 120.92757225036621 wall_clock_time_millis_training 121.94943428039551 wall_clock_time_millis_training 115.91410636901855 wall_clock_time_millis_training 116.93024635314941 wall_clock_time_millis_training 119.93145942687988 wall_clock_time_millis_training 118.95275115966797 weighted_recall 0.7866666666666666 [0.929825,0.333333] weighted_recall 0.7733333333333333 [0.929825,0.277778] weighted_recall 0.7466666666666667 [0.947368,0.111111] weighted_recall 0.76 [0.877193,0.388889] weighted_recall 0.7866666666666666 [0.929825,0.333333] weighted_recall 0.7733333333333333 [0.947368,0.222222] weighted_recall 0.76 [0.894737,0.333333] weighted_recall 0.7866666666666666 [0.964912,0.222222] weighted_recall 0.7837837837837838 [0.894737,0.411765] weighted_recall 0.7702702702702703 [0.929825,0.235294]