10558131 8323 Heinrich Peters 3918 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275909 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 22041222 description https://api.openml.org/data/download/22041222/description.xml -1 22041223 predictions https://api.openml.org/data/download/22041223/predictions.arff area_under_roc_curve 0.8343149098963052 [0.834315,0.834315] average_cost 0 f_measure 0.9087918731967033 [0.962753,0.185567] kappa 0.1615610615065126 kb_relative_information_score -0.17955304393524193 mean_absolute_error 0.114243146650301 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9287646528403968 [0.989341,0.116883] number_of_instances 1109 [1032,77] precision 0.9037053459424145 [0.937557,0.45] predictive_accuracy 0.9287646528403968 prior_entropy 0.36380676688852276 relative_absolute_error 0.8795395236394613 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.24721351023801305 root_relative_squared_error 0.9725602539681131 total_cost 0 unweighted_recall 0.5531121010772173 [0.989341,0.116883] area_under_roc_curve 0.8186813186813187 [0.818681,0.818681] area_under_roc_curve 0.8228021978021978 [0.822802,0.822802] area_under_roc_curve 0.8822815533980582 [0.882282,0.882282] area_under_roc_curve 0.7196601941747572 [0.71966,0.71966] area_under_roc_curve 0.8094660194174758 [0.809466,0.809466] area_under_roc_curve 0.8713592233009708 [0.871359,0.871359] area_under_roc_curve 0.9259708737864077 [0.925971,0.925971] area_under_roc_curve 0.8276699029126213 [0.82767,0.82767] area_under_roc_curve 0.7888349514563107 [0.788835,0.788835] area_under_roc_curve 0.8682385575589457 [0.868239,0.868239] 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 0.926433442788583 [0.971963,0.25] f_measure 0.8973480522776298 [0.957746,0] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9233516152947432 [0.966825,0.363636] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9350649350649349 [0.971429,0.4] kappa 0.23798627002288333 kappa -0.028836251287332113 kappa 0.14833759590792903 kappa -0.016276703967446498 kappa 0.17625231910946135 kappa 0 kappa 0.3375959079283886 kappa 0.14833759590792903 kappa 0.17625231910946135 kappa 0.3761814744801507 kb_relative_information_score -0.02220978403046963 kb_relative_information_score -0.32201408208644194 kb_relative_information_score -0.15492201527519922 kb_relative_information_score -0.36406841714632626 kb_relative_information_score -0.1410503811336281 kb_relative_information_score -0.042158846821064216 kb_relative_information_score 0.0757102010808289 kb_relative_information_score -0.3246252012780132 kb_relative_information_score -0.32171702046619693 kb_relative_information_score -0.17689155073586485 mean_absolute_error 0.09923180200987883 mean_absolute_error 0.1163692579622991 mean_absolute_error 0.12051826577261206 mean_absolute_error 0.12659006761709551 mean_absolute_error 0.11171789966179592 mean_absolute_error 0.10854821263895291 mean_absolute_error 0.10058075891172284 mean_absolute_error 0.1265070367101592 mean_absolute_error 0.12434319267564124 mean_absolute_error 0.10796844368733174 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9488943488943489 [0.945455,1] precision 0.8767666749318126 [0.93578,0] precision 0.8918084751418085 [0.935185,0.333333] precision 0.8604422604422604 [0.927273,0] precision 0.9043722621704273 [0.93578,0.5] precision 0.9244244244244243 [0.944444,0.666667] precision 0.8918084751418085 [0.935185,0.333333] precision 0.9043722621704273 [0.93578,0.5] precision 0.9350325686774285 [0.953271,0.666667] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9454545454545454 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 relative_absolute_error 0.7975861992869892 relative_absolute_error 0.935330330520022 relative_absolute_error 0.9119176005242544 relative_absolute_error 0.9578607024547701 relative_absolute_error 0.8453284516009535 relative_absolute_error 0.8213445901858091 relative_absolute_error 0.7610577843755416 relative_absolute_error 0.957232437976043 relative_absolute_error 0.9408594222575014 relative_absolute_error 0.8643841141846588 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.21955970356866855 root_mean_squared_error 0.24128714093243597 root_mean_squared_error 0.2625986549698371 root_mean_squared_error 0.26846094030003115 root_mean_squared_error 0.25090213605275014 root_mean_squared_error 0.2442585916185509 root_mean_squared_error 0.22470646169805855 root_mean_squared_error 0.26852701624291314 root_mean_squared_error 0.2589192498948081 root_mean_squared_error 0.22660288596099862 root_relative_squared_error 0.9028642211680631 root_relative_squared_error 0.9922108794781588 root_relative_squared_error 1.0154079898030626 root_relative_squared_error 1.038076085203125 root_relative_squared_error 0.970180268577084 root_relative_squared_error 0.944491225730035 root_relative_squared_error 0.8688876818306351 root_relative_squared_error 1.038331585522972 root_relative_squared_error 1.0011805852059767 root_relative_squared_error 0.9279684536655143 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 0.5714285714285714 [1,0.142857] unweighted_recall 0.49038461538461536 [0.980769,0] unweighted_recall 0.5527912621359223 [0.980583,0.125] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.5 [1,0] unweighted_recall 0.6201456310679612 [0.990291,0.25] unweighted_recall 0.5527912621359223 [0.980583,0.125] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.638002773925104 [0.990291,0.285714] usercpu_time_millis 50.449999998818384 usercpu_time_millis 60.89399999473244 usercpu_time_millis 67.01199999952223 usercpu_time_millis 53.92000000210828 usercpu_time_millis 63.00800000099116 usercpu_time_millis 56.576000002678484 usercpu_time_millis 59.664000000339 usercpu_time_millis 55.329999999230495 usercpu_time_millis 51.79599999974016 usercpu_time_millis 55.598000002646586 usercpu_time_millis_testing 1.1639999975159299 usercpu_time_millis_testing 1.7099999968195334 usercpu_time_millis_testing 1.189999999041902 usercpu_time_millis_testing 1.172000000224216 usercpu_time_millis_testing 1.2720000013359822 usercpu_time_millis_testing 1.158000002760673 usercpu_time_millis_testing 1.1679999988700729 usercpu_time_millis_testing 1.1180000001331791 usercpu_time_millis_testing 1.1100000010628719 usercpu_time_millis_testing 1.150000000052387 usercpu_time_millis_training 49.286000001302455 usercpu_time_millis_training 59.183999997912906 usercpu_time_millis_training 65.82200000048033 usercpu_time_millis_training 52.748000001884066 usercpu_time_millis_training 61.73599999965518 usercpu_time_millis_training 55.41799999991781 usercpu_time_millis_training 58.49600000146893 usercpu_time_millis_training 54.211999999097316 usercpu_time_millis_training 50.68599999867729 usercpu_time_millis_training 54.4480000025942 wall_clock_time_millis 14.822959899902344 wall_clock_time_millis 18.537044525146484 wall_clock_time_millis 26.548147201538086 wall_clock_time_millis 14.456033706665039 wall_clock_time_millis 16.390085220336914 wall_clock_time_millis 18.572092056274414 wall_clock_time_millis 20.95198631286621 wall_clock_time_millis 16.43204689025879 wall_clock_time_millis 13.38338851928711 wall_clock_time_millis 14.528989791870117 wall_clock_time_millis_testing 0.2968311309814453 wall_clock_time_millis_testing 0.5431175231933594 wall_clock_time_millis_testing 0.2951622009277344 wall_clock_time_millis_testing 0.2989768981933594 wall_clock_time_millis_testing 0.3330707550048828 wall_clock_time_millis_testing 0.2930164337158203 wall_clock_time_millis_testing 0.29587745666503906 wall_clock_time_millis_testing 0.28395652770996094 wall_clock_time_millis_testing 0.28014183044433594 wall_clock_time_millis_testing 0.28586387634277344 wall_clock_time_millis_training 14.526128768920898 wall_clock_time_millis_training 17.993927001953125 wall_clock_time_millis_training 26.25298500061035 wall_clock_time_millis_training 14.15705680847168 wall_clock_time_millis_training 16.05701446533203 wall_clock_time_millis_training 18.279075622558594 wall_clock_time_millis_training 20.656108856201172 wall_clock_time_millis_training 16.148090362548828 wall_clock_time_millis_training 13.103246688842773 wall_clock_time_millis_training 14.243125915527344 weighted_recall 0.9459459459459459 [1,0.142857] weighted_recall 0.918918918918919 [0.980769,0] weighted_recall 0.918918918918919 [0.980583,0.125] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9369369369369369 [0.990291,0.25] weighted_recall 0.918918918918919 [0.980583,0.125] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9454545454545454 [0.990291,0.285714]