10547103 8323 Heinrich Peters 3904 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1053 jm1 https://www.openml.org/data/download/53936/jm1.arff -1 22019161 description https://api.openml.org/data/download/22019161/description.xml -1 22019162 predictions https://api.openml.org/data/download/22019162/predictions.arff area_under_roc_curve 0.7133482549816984 [0.713348,0.713348] average_cost 0 f_measure 0.7572647220225339 [0.894024,0.187176] kappa 0.1330695426099086 kb_relative_information_score 0.05217873095722713 mean_absolute_error 0.27943593016678014 mean_prior_absolute_error 0.31212214303703906 weighted_recall 0.8124942581534221 [0.980636,0.111586] number_of_instances 10885 [8779,2106] precision 0.7747983866726041 [0.821469,0.580247] predictive_accuracy 0.8124942581534222 prior_entropy 0.7086892261862012 relative_absolute_error 0.8952774944058356 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.37432446702988176 root_relative_squared_error 0.9475997466310164 total_cost 0 unweighted_recall 0.5461107763097359 [0.980636,0.111586] area_under_roc_curve 0.7127708385062993 [0.712771,0.712771] area_under_roc_curve 0.7430610284036316 [0.743061,0.743061] area_under_roc_curve 0.715488669855013 [0.715489,0.715489] area_under_roc_curve 0.6954274579235444 [0.695427,0.695427] area_under_roc_curve 0.7158476287123903 [0.715848,0.715848] area_under_roc_curve 0.7290785334634994 [0.729079,0.729079] area_under_roc_curve 0.7105136131901508 [0.710514,0.710514] area_under_roc_curve 0.6890253823625121 [0.689025,0.689025] area_under_roc_curve 0.7086723071916694 [0.708672,0.708672] area_under_roc_curve 0.7193577847790021 [0.719358,0.719358] 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 0.7651858976886216 [0.895258,0.223938] f_measure 0.761883109105531 [0.895584,0.205534] f_measure 0.7691536266756134 [0.899948,0.2249] f_measure 0.75480048429275 [0.893727,0.176707] f_measure 0.7565360686334202 [0.892931,0.188976] f_measure 0.7467385303453642 [0.891878,0.139918] f_measure 0.757649136816819 [0.895909,0.179592] f_measure 0.7668607843455316 [0.8963,0.225681] f_measure 0.7552428110439253 [0.893617,0.176707] f_measure 0.7379585252580063 [0.885075,0.126482] kappa 0.16389159456826907 kappa 0.1509117780544857 kappa 0.17618030377266003 kappa 0.12495835374816222 kappa 0.13203590497562476 kappa 0.09233446695725758 kappa 0.13170809179703027 kappa 0.16686419677076778 kappa 0.12372511118444805 kappa 0.06636638968703888 kb_relative_information_score 0.05272907571201307 kb_relative_information_score 0.06886375052865167 kb_relative_information_score 0.07175659382097054 kb_relative_information_score 0.05105670424473484 kb_relative_information_score 0.043763103967245705 kb_relative_information_score 0.05225515296324248 kb_relative_information_score 0.07062089901259555 kb_relative_information_score 0.043051242825160305 kb_relative_information_score 0.035390407743215134 kb_relative_information_score 0.03226968868479902 mean_absolute_error 0.277633367565018 mean_absolute_error 0.2773330354591597 mean_absolute_error 0.2760992562443763 mean_absolute_error 0.2804533812418065 mean_absolute_error 0.28115980274524566 mean_absolute_error 0.27902640813400287 mean_absolute_error 0.2765702702255912 mean_absolute_error 0.27988304479561843 mean_absolute_error 0.282727671374777 mean_absolute_error 0.28347720065388404 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3124019844228689 number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [877,211] precision 0.7823478100364398 [0.825168,0.604167] precision 0.7837287021970533 [0.823305,0.619048] precision 0.8086284889420658 [0.82588,0.736842] precision 0.7734327509752145 [0.820171,0.578947] precision 0.7702496406670972 [0.821224,0.55814] precision 0.7587885229490331 [0.817062,0.515152] precision 0.7842316770012848 [0.821462,0.628571] precision 0.785767910236018 [0.826129,0.617021] precision 0.7712388495399627 [0.820782,0.564103] precision 0.7296752651825549 [0.813576,0.380952] predictive_accuracy 0.815426997245179 predictive_accuracy 0.815426997245179 predictive_accuracy 0.82277318640955 predictive_accuracy 0.8117539026629936 predictive_accuracy 0.8108356290174471 predictive_accuracy 0.807904411764706 predictive_accuracy 0.8152573529411765 predictive_accuracy 0.817095588235294 predictive_accuracy 0.8115808823529411 predictive_accuracy 0.796875 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7096292997655923 relative_absolute_error 0.8890161421550837 relative_absolute_error 0.8880544418650317 relative_absolute_error 0.8841037292852802 relative_absolute_error 0.8980461723051016 relative_absolute_error 0.9003082207225197 relative_absolute_error 0.8947782088497993 relative_absolute_error 0.8869018981698396 relative_absolute_error 0.8975252600082954 relative_absolute_error 0.9066473710384585 relative_absolute_error 0.9074116516179612 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.3953778646078222 root_mean_squared_error 0.37141921725682703 root_mean_squared_error 0.3695298159702632 root_mean_squared_error 0.3705111863426249 root_mean_squared_error 0.3772761873452598 root_mean_squared_error 0.3766001394228107 root_mean_squared_error 0.3749914712438232 root_mean_squared_error 0.37131070637308633 root_mean_squared_error 0.3756893237786209 root_mean_squared_error 0.3765777373325552 root_mean_squared_error 0.3792107413533327 root_relative_squared_error 0.9397313078813143 root_relative_squared_error 0.9349509156462308 root_relative_squared_error 0.937433890195439 root_relative_squared_error 0.9545500838242371 root_relative_squared_error 0.9528396085207628 root_relative_squared_error 0.9501518209773877 root_relative_squared_error 0.940825514347213 root_relative_squared_error 0.9519200368104369 root_relative_squared_error 0.9541710953565199 root_relative_squared_error 0.9591096904968979 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 0.5579003335888328 [0.97836,0.137441] unweighted_recall 0.55249975709551 [0.981777,0.123223] unweighted_recall 0.5606559500804283 [0.98861,0.132701] unweighted_recall 0.543021084109728 [0.981777,0.104265] unweighted_recall 0.5460519923566054 [0.97836,0.113744] unweighted_recall 0.5313645731641176 [0.981777,0.080952] unweighted_recall 0.5449777633148931 [0.985194,0.104762] unweighted_recall 0.5587970495715371 [0.979499,0.138095] unweighted_recall 0.5426998589868749 [0.980638,0.104762] unweighted_recall 0.5230914308256821 [0.970353,0.075829] usercpu_time_millis 133.22894100565463 usercpu_time_millis 100.40357004618272 usercpu_time_millis 88.62662297906354 usercpu_time_millis 91.22097300132737 usercpu_time_millis 102.19771298579872 usercpu_time_millis 112.29438800364733 usercpu_time_millis 92.30625996133313 usercpu_time_millis 110.21526396507397 usercpu_time_millis 96.24705399619415 usercpu_time_millis 93.96374406060204 usercpu_time_millis_testing 1.3762679882347584 usercpu_time_millis_testing 0.9928810177370906 usercpu_time_millis_testing 0.9920279844664037 usercpu_time_millis_testing 1.0094589670188725 usercpu_time_millis_testing 1.1217379942536354 usercpu_time_millis_testing 0.9906179620884359 usercpu_time_millis_testing 1.0432580020278692 usercpu_time_millis_testing 1.0356699931435287 usercpu_time_millis_testing 1.0641099652275443 usercpu_time_millis_testing 1.0545520344749093 usercpu_time_millis_training 131.85267301741987 usercpu_time_millis_training 99.41068902844563 usercpu_time_millis_training 87.63459499459714 usercpu_time_millis_training 90.2115140343085 usercpu_time_millis_training 101.07597499154508 usercpu_time_millis_training 111.30377004155889 usercpu_time_millis_training 91.26300195930526 usercpu_time_millis_training 109.17959397193044 usercpu_time_millis_training 95.18294403096661 usercpu_time_millis_training 92.90919202612713 wall_clock_time_millis 133.27980041503906 wall_clock_time_millis 100.41356086730957 wall_clock_time_millis 88.63329887390137 wall_clock_time_millis 91.22657775878906 wall_clock_time_millis 102.2181510925293 wall_clock_time_millis 112.29848861694336 wall_clock_time_millis 92.33736991882324 wall_clock_time_millis 110.22186279296875 wall_clock_time_millis 96.25697135925293 wall_clock_time_millis 93.97125244140625 wall_clock_time_millis_testing 1.3842582702636719 wall_clock_time_millis_testing 0.9980201721191406 wall_clock_time_millis_testing 0.9987354278564453 wall_clock_time_millis_testing 1.0137557983398438 wall_clock_time_millis_testing 1.1303424835205078 wall_clock_time_millis_testing 0.995635986328125 wall_clock_time_millis_testing 1.0499954223632812 wall_clock_time_millis_testing 1.041412353515625 wall_clock_time_millis_testing 1.0714530944824219 wall_clock_time_millis_testing 1.0578632354736328 wall_clock_time_millis_training 131.8955421447754 wall_clock_time_millis_training 99.41554069519043 wall_clock_time_millis_training 87.63456344604492 wall_clock_time_millis_training 90.21282196044922 wall_clock_time_millis_training 101.08780860900879 wall_clock_time_millis_training 111.30285263061523 wall_clock_time_millis_training 91.28737449645996 wall_clock_time_millis_training 109.18045043945312 wall_clock_time_millis_training 95.18551826477051 wall_clock_time_millis_training 92.91338920593262 weighted_recall 0.8154269972451791 [0.97836,0.137441] weighted_recall 0.8154269972451791 [0.981777,0.123223] weighted_recall 0.82277318640955 [0.98861,0.132701] weighted_recall 0.8117539026629935 [0.981777,0.104265] weighted_recall 0.8108356290174472 [0.97836,0.113744] weighted_recall 0.8079044117647058 [0.981777,0.080952] weighted_recall 0.8152573529411765 [0.985194,0.104762] weighted_recall 0.8170955882352942 [0.979499,0.138095] weighted_recall 0.8115808823529411 [0.980638,0.104762] weighted_recall 0.796875 [0.970353,0.075829]