10547088 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) 8275626 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.165918932915 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 57 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 22019131 description https://api.openml.org/data/download/22019131/description.xml -1 22019132 predictions https://api.openml.org/data/download/22019132/predictions.arff area_under_roc_curve 0.7128512994025391 [0.712851,0.712851] average_cost 0 f_measure 0.7561460490617964 [0.893939,0.181745] kappa 0.12884628772559126 kb_relative_information_score 0.049713500907188804 mean_absolute_error 0.2805937220852583 mean_prior_absolute_error 0.31212214303703906 weighted_recall 0.8122186495176849 [0.981205,0.107787] number_of_instances 10885 [8779,2106] precision 0.7741364188014012 [0.820928,0.579082] predictive_accuracy 0.812218649517685 prior_entropy 0.7086892261862012 relative_absolute_error 0.8989869137607474 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.3745470833934814 root_relative_squared_error 0.9481632983844374 total_cost 0 unweighted_recall 0.5444962115520645 [0.981205,0.107787] area_under_roc_curve 0.712560321281672 [0.71256,0.71256] area_under_roc_curve 0.7432553519955954 [0.743255,0.743255] area_under_roc_curve 0.7163901154066221 [0.71639,0.71639] area_under_roc_curve 0.693613771065217 [0.693614,0.693614] area_under_roc_curve 0.7160257586716902 [0.716026,0.716026] area_under_roc_curve 0.7290948042086994 [0.729095,0.729095] area_under_roc_curve 0.7099387135264128 [0.709939,0.709939] area_under_roc_curve 0.6865196876016922 [0.68652,0.68652] area_under_roc_curve 0.7076689445709947 [0.707669,0.707669] area_under_roc_curve 0.7181959177938578 [0.718196,0.718196] 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 0.7668857721943323 [0.895725,0.230769] f_measure 0.760128492923735 [0.895119,0.198413] f_measure 0.7673908412371938 [0.899482,0.217742] f_measure 0.75480048429275 [0.893727,0.176707] f_measure 0.753003596673945 [0.892004,0.174603] f_measure 0.7478869252033535 [0.893023,0.141079] f_measure 0.754601566070205 [0.895553,0.165289] f_measure 0.7664059566733934 [0.896982,0.220472] f_measure 0.751645558614452 [0.892691,0.161943] f_measure 0.7379585252580063 [0.885075,0.126482] kappa 0.17016558587528857 kappa 0.1444739155122392 kappa 0.16974117536096334 kappa 0.12495835374816222 kappa 0.11906224963636539 kappa 0.0962004590911277 kappa 0.12038934426229511 kappa 0.16460879816342994 kappa 0.11050727499644543 kappa 0.06636638968703888 kb_relative_information_score 0.05062589061883174 kb_relative_information_score 0.06563259496266165 kb_relative_information_score 0.07073660552094725 kb_relative_information_score 0.04687532661193254 kb_relative_information_score 0.042251694074703694 kb_relative_information_score 0.05078041398321031 kb_relative_information_score 0.06650892682763657 kb_relative_information_score 0.04225968129738848 kb_relative_information_score 0.03156546463353425 kb_relative_information_score 0.02986669546296911 mean_absolute_error 0.2786597545686294 mean_absolute_error 0.2787401049723453 mean_absolute_error 0.27711146367857964 mean_absolute_error 0.28184708473298786 mean_absolute_error 0.28219390318020293 mean_absolute_error 0.27996189924978016 mean_absolute_error 0.277804901638875 mean_absolute_error 0.28086445149663564 mean_absolute_error 0.2841466913374587 mean_absolute_error 0.2846110250956941 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 0.7845527127994659 [0.825962,0.612245] precision 0.7812950342613009 [0.822519,0.609756] precision 0.8066174775473081 [0.825095,0.72973] precision 0.7734327509752145 [0.820171,0.578947] precision 0.7648098339225775 [0.819656,0.536585] precision 0.7654828140399504 [0.817408,0.548387] precision 0.7824232676024955 [0.820076,0.625] precision 0.7891314898477677 [0.82567,0.636364] precision 0.7654305971752242 [0.81922,0.540541] precision 0.7296752651825549 [0.813576,0.380952] predictive_accuracy 0.8163452708907255 predictive_accuracy 0.8145087235996327 predictive_accuracy 0.8218549127640037 predictive_accuracy 0.8117539026629936 predictive_accuracy 0.8089990817263545 predictive_accuracy 0.8097426470588235 predictive_accuracy 0.8143382352941176 predictive_accuracy 0.8180147058823529 predictive_accuracy 0.8097426470588235 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 0.8923027594025408 relative_absolute_error 0.8925600512639571 relative_absolute_error 0.8873449418099433 relative_absolute_error 0.9025089820599412 relative_absolute_error 0.9036195373245174 relative_absolute_error 0.8977781294328292 relative_absolute_error 0.8908610979171167 relative_absolute_error 0.900672422085039 relative_absolute_error 0.9111978655562415 relative_absolute_error 0.9110410281851578 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 0.37139332892867977 root_mean_squared_error 0.37021478286584386 root_mean_squared_error 0.37063861335938963 root_mean_squared_error 0.3777776943959865 root_mean_squared_error 0.37636830162787716 root_mean_squared_error 0.37499005578679584 root_mean_squared_error 0.3718534761494373 root_mean_squared_error 0.37537276770836275 root_mean_squared_error 0.3772887567816992 root_mean_squared_error 0.3794487626907402 root_relative_squared_error 0.9396658075750879 root_relative_squared_error 0.9366839569287834 root_relative_squared_error 0.9377562945072249 root_relative_squared_error 0.9558189516016553 root_relative_squared_error 0.952253033502221 root_relative_squared_error 0.9501482344982938 root_relative_squared_error 0.942200782135733 root_relative_squared_error 0.9511179483639997 root_relative_squared_error 0.955972673462053 root_relative_squared_error 0.9597117002670794 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 0.5602700018352783 [0.97836,0.14218] unweighted_recall 0.5501300888490646 [0.981777,0.118483] unweighted_recall 0.5582862818339829 [0.98861,0.127962] unweighted_recall 0.543021084109728 [0.981777,0.104265] unweighted_recall 0.5413126558637144 [0.97836,0.104265] unweighted_recall 0.5325035253281267 [0.984055,0.080952] unweighted_recall 0.5407853346349929 [0.986333,0.095238] unweighted_recall 0.5575550493545938 [0.981777,0.133333] unweighted_recall 0.5379379542249701 [0.980638,0.095238] unweighted_recall 0.5230914308256821 [0.970353,0.075829] usercpu_time_millis 143.17313604988158 usercpu_time_millis 87.94193802168593 usercpu_time_millis 89.02261103503406 usercpu_time_millis 97.91011601919308 usercpu_time_millis 88.49714999087155 usercpu_time_millis 86.51558303972706 usercpu_time_millis 89.39159795409068 usercpu_time_millis 90.61071305768564 usercpu_time_millis 90.87019605794922 usercpu_time_millis 86.52903605252504 usercpu_time_millis_testing 1.925701042637229 usercpu_time_millis_testing 1.0328380158171058 usercpu_time_millis_testing 1.1328569962643087 usercpu_time_millis_testing 1.0043170186690986 usercpu_time_millis_testing 1.170873991213739 usercpu_time_millis_testing 1.087071024812758 usercpu_time_millis_testing 1.1086969752795994 usercpu_time_millis_testing 1.172308053355664 usercpu_time_millis_testing 1.094999024644494 usercpu_time_millis_testing 1.0415580472908914 usercpu_time_millis_training 141.24743500724435 usercpu_time_millis_training 86.90910000586882 usercpu_time_millis_training 87.88975403876975 usercpu_time_millis_training 96.90579900052398 usercpu_time_millis_training 87.32627599965781 usercpu_time_millis_training 85.4285120149143 usercpu_time_millis_training 88.28290097881109 usercpu_time_millis_training 89.43840500432998 usercpu_time_millis_training 89.77519703330472 usercpu_time_millis_training 85.48747800523415 wall_clock_time_millis 143.2340145111084 wall_clock_time_millis 87.9521369934082 wall_clock_time_millis 89.02907371520996 wall_clock_time_millis 97.9166030883789 wall_clock_time_millis 88.50884437561035 wall_clock_time_millis 86.52520179748535 wall_clock_time_millis 89.4002914428711 wall_clock_time_millis 90.62027931213379 wall_clock_time_millis 90.87586402893066 wall_clock_time_millis 86.55905723571777 wall_clock_time_millis_testing 1.9345283508300781 wall_clock_time_millis_testing 1.0383129119873047 wall_clock_time_millis_testing 1.1374950408935547 wall_clock_time_millis_testing 1.0082721710205078 wall_clock_time_millis_testing 1.177072525024414 wall_clock_time_millis_testing 1.0941028594970703 wall_clock_time_millis_testing 1.1129379272460938 wall_clock_time_millis_testing 1.1775493621826172 wall_clock_time_millis_testing 1.1019706726074219 wall_clock_time_millis_testing 1.0466575622558594 wall_clock_time_millis_training 141.29948616027832 wall_clock_time_millis_training 86.9138240814209 wall_clock_time_millis_training 87.8915786743164 wall_clock_time_millis_training 96.9083309173584 wall_clock_time_millis_training 87.33177185058594 wall_clock_time_millis_training 85.43109893798828 wall_clock_time_millis_training 88.287353515625 wall_clock_time_millis_training 89.44272994995117 wall_clock_time_millis_training 89.77389335632324 wall_clock_time_millis_training 85.51239967346191 weighted_recall 0.8163452708907254 [0.97836,0.14218] weighted_recall 0.8145087235996327 [0.981777,0.118483] weighted_recall 0.8218549127640037 [0.98861,0.127962] weighted_recall 0.8117539026629935 [0.981777,0.104265] weighted_recall 0.8089990817263545 [0.97836,0.104265] weighted_recall 0.8097426470588235 [0.984055,0.080952] weighted_recall 0.8143382352941176 [0.986333,0.095238] weighted_recall 0.8180147058823529 [0.981777,0.133333] weighted_recall 0.8097426470588235 [0.980638,0.095238] weighted_recall 0.796875 [0.970353,0.075829]