10591504 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19161 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1) 8304079 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 algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 5 19154 p 2 19154 weights "uniform" 19154 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 19161 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"}}] 19161 verbose false 19161 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22110614 description https://api.openml.org/data/download/22110614/description.xml -1 22110615 predictions https://api.openml.org/data/download/22110615/predictions.arff area_under_roc_curve 0.6985166568105657 [0.698517,0.698517] average_cost 0 f_measure 0.7527989265579641 [0.857855,0.416382] kappa 0.28231887961217333 kb_relative_information_score 0.08230070987186484 mean_absolute_error 0.30053475935828866 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7713903743315508 [0.905263,0.342697] number_of_instances 748 [570,178] precision 0.747409012122167 [0.815166,0.530435] predictive_accuracy 0.7713903743315508 prior_entropy 0.7916465694609683 relative_absolute_error 0.8278178211599284 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.41842587623585514 root_relative_squared_error 0.982589498971324 total_cost 0 unweighted_recall 0.62397989355411 [0.905263,0.342697] area_under_roc_curve 0.7110136452241715 [0.711014,0.711014] area_under_roc_curve 0.6871345029239766 [0.687135,0.687135] area_under_roc_curve 0.7348927875243665 [0.734893,0.734893] area_under_roc_curve 0.6968810916179338 [0.696881,0.696881] area_under_roc_curve 0.7573099415204677 [0.75731,0.75731] area_under_roc_curve 0.6530214424951267 [0.653021,0.653021] area_under_roc_curve 0.6876218323586744 [0.687622,0.687622] area_under_roc_curve 0.7115009746588694 [0.711501,0.711501] area_under_roc_curve 0.7012383900928792 [0.701238,0.701238] area_under_roc_curve 0.6584107327141383 [0.658411,0.658411] 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 0.752533485323454 [0.859504,0.413793] f_measure 0.6835772357723577 [0.829268,0.222222] f_measure 0.7137127371273713 [0.845528,0.296296] f_measure 0.7822312373225152 [0.862069,0.529412] f_measure 0.7739837398373983 [0.878049,0.444444] f_measure 0.7108624708624709 [0.820513,0.363636] f_measure 0.765936285936286 [0.854701,0.484848] f_measure 0.7739837398373983 [0.878049,0.444444] f_measure 0.8245173745173746 [0.9,0.571429] f_measure 0.7367760617760618 [0.85,0.357143] kappa 0.28330522765598654 kappa 0.07407407407407399 kappa 0.16225749559082905 kappa 0.39209726443768983 kappa 0.33862433862433877 kappa 0.18604651162790684 kappa 0.34108527131782934 kappa 0.33862433862433877 kappa 0.47703180212014124 kappa 0.21554770318021205 kb_relative_information_score 0.14144219371035557 kb_relative_information_score 0.031006281120322415 kb_relative_information_score 0.1020461532039536 kb_relative_information_score 0.068868135329176 kb_relative_information_score 0.1882196858146528 kb_relative_information_score -0.028220827039955827 kb_relative_information_score 0.12524551793701508 kb_relative_information_score 0.016004634452328043 kb_relative_information_score 0.11587290347435542 kb_relative_information_score 0.06301773425214591 mean_absolute_error 0.2853333333333331 mean_absolute_error 0.3173333333333331 mean_absolute_error 0.3039999999999998 mean_absolute_error 0.3013333333333332 mean_absolute_error 0.27733333333333304 mean_absolute_error 0.32533333333333325 mean_absolute_error 0.29333333333333317 mean_absolute_error 0.3173333333333331 mean_absolute_error 0.28108108108108093 mean_absolute_error 0.3027027027027025 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 0.7484090909090908 [0.8125,0.545455] precision 0.6672727272727272 [0.772727,0.333333] precision 0.7054545454545454 [0.787879,0.444444] precision 0.7790677966101694 [0.847458,0.5625] precision 0.7818181818181819 [0.818182,0.666667] precision 0.7040000000000001 [0.8,0.4] precision 0.7613333333333333 [0.833333,0.533333] precision 0.7818181818181819 [0.818182,0.666667] precision 0.8273078273078273 [0.857143,0.727273] precision 0.727974727974728 [0.809524,0.454545] predictive_accuracy 0.7733333333333333 predictive_accuracy 0.72 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.8 predictive_accuracy 0.8378378378378379 predictive_accuracy 0.7567567567567568 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 0.7836531419364279 relative_absolute_error 0.8715394756115412 relative_absolute_error 0.8349201699135775 relative_absolute_error 0.8275963087739848 relative_absolute_error 0.7616815585176494 relative_absolute_error 0.89351105903032 relative_absolute_error 0.8056247253552065 relative_absolute_error 0.8715394756115412 relative_absolute_error 0.7835258663987937 relative_absolute_error 0.8437970868910084 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 0.4059556626036886 root_mean_squared_error 0.42015870017569923 root_mean_squared_error 0.4283300907789067 root_mean_squared_error 0.42895221179054427 root_mean_squared_error 0.3891871871820378 root_mean_squared_error 0.4393935214209087 root_mean_squared_error 0.4182503237695497 root_mean_squared_error 0.40857475856118824 root_mean_squared_error 0.40935017719254435 root_mean_squared_error 0.43371431623605416 root_relative_squared_error 0.9505261521322137 root_relative_squared_error 0.9837818987458337 root_relative_squared_error 1.0029148267553112 root_relative_squared_error 1.004371493938027 root_relative_squared_error 0.9112635530655133 root_relative_squared_error 1.028819330932138 root_relative_squared_error 0.9793135248585895 root_relative_squared_error 0.9566586425292685 root_relative_squared_error 0.972896913971703 root_relative_squared_error 1.0308028268250369 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 0.6228070175438596 [0.912281,0.333333] unweighted_recall 0.5307017543859649 [0.894737,0.166667] unweighted_recall 0.567251461988304 [0.912281,0.222222] unweighted_recall 0.6885964912280702 [0.877193,0.5] unweighted_recall 0.6403508771929824 [0.947368,0.333333] unweighted_recall 0.587719298245614 [0.842105,0.333333] unweighted_recall 0.6608187134502923 [0.877193,0.444444] unweighted_recall 0.6403508771929824 [0.947368,0.333333] unweighted_recall 0.7089783281733746 [0.947368,0.470588] unweighted_recall 0.5944272445820433 [0.894737,0.294118] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 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_testing 0 usercpu_time_millis_testing 0 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_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 13.010740280151367 wall_clock_time_millis 11.991739273071289 wall_clock_time_millis 12.990951538085938 wall_clock_time_millis 11.990785598754883 wall_clock_time_millis 11.991262435913086 wall_clock_time_millis 10.99085807800293 wall_clock_time_millis 20.997285842895508 wall_clock_time_millis 24.98149871826172 wall_clock_time_millis 12.988567352294922 wall_clock_time_millis 17.989397048950195 wall_clock_time_millis_testing 6.014347076416016 wall_clock_time_millis_testing 6.014108657836914 wall_clock_time_millis_testing 5.9947967529296875 wall_clock_time_millis_testing 4.995584487915039 wall_clock_time_millis_testing 4.996061325073242 wall_clock_time_millis_testing 4.9953460693359375 wall_clock_time_millis_testing 7.99250602722168 wall_clock_time_millis_testing 12.991666793823242 wall_clock_time_millis_testing 5.995750427246094 wall_clock_time_millis_testing 8.992433547973633 wall_clock_time_millis_training 6.996393203735352 wall_clock_time_millis_training 5.977630615234375 wall_clock_time_millis_training 6.99615478515625 wall_clock_time_millis_training 6.995201110839844 wall_clock_time_millis_training 6.995201110839844 wall_clock_time_millis_training 5.995512008666992 wall_clock_time_millis_training 13.004779815673828 wall_clock_time_millis_training 11.989831924438477 wall_clock_time_millis_training 6.992816925048828 wall_clock_time_millis_training 8.996963500976562 weighted_recall 0.7733333333333333 [0.912281,0.333333] weighted_recall 0.72 [0.894737,0.166667] weighted_recall 0.7466666666666667 [0.912281,0.222222] weighted_recall 0.7866666666666666 [0.877193,0.5] weighted_recall 0.8 [0.947368,0.333333] weighted_recall 0.72 [0.842105,0.333333] weighted_recall 0.7733333333333333 [0.877193,0.444444] weighted_recall 0.8 [0.947368,0.333333] weighted_recall 0.8378378378378378 [0.947368,0.470588] weighted_recall 0.7567567567567568 [0.894737,0.294118]