10500217 8323 Heinrich Peters 3918 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275621 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 100000.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 724 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21925383 description https://api.openml.org/data/download/21925383/description.xml -1 21925384 predictions https://api.openml.org/data/download/21925384/predictions.arff area_under_roc_curve 0.8122420215443471 [0.812242,0.812242] average_cost 0 f_measure 0.9024102557347178 [0.960415,0.125] kappa 0.10027236376982258 kb_relative_information_score -0.2509161965298992 mean_absolute_error 0.1155681515181996 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9242560865644724 [0.987403,0.077922] number_of_instances 1109 [1032,77] precision 0.8918789640442383 [0.934862,0.315789] predictive_accuracy 0.9242560865644726 prior_entropy 0.36380676688852276 relative_absolute_error 0.8897405219881743 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.253642786104478 root_relative_squared_error 0.9978536053043732 total_cost 0 unweighted_recall 0.5326625893486359 [0.987403,0.077922] area_under_roc_curve 0.7046703296703297 [0.70467,0.70467] area_under_roc_curve 0.8337912087912089 [0.833791,0.833791] area_under_roc_curve 0.8628640776699029 [0.862864,0.862864] area_under_roc_curve 0.6553398058252428 [0.65534,0.65534] area_under_roc_curve 0.7633495145631067 [0.76335,0.76335] area_under_roc_curve 0.8567961165048544 [0.856796,0.856796] area_under_roc_curve 0.9065533980582524 [0.906553,0.906553] area_under_roc_curve 0.8434466019417476 [0.843447,0.843447] area_under_roc_curve 0.7864077669902912 [0.786408,0.786408] area_under_roc_curve 0.8668515950069348 [0.866852,0.866852] 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 0.8841577426483087 [0.95283,0] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.8795525383203108 [0.947867,0] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9281426707264028 [0.966507,0.363636] kappa 0.23798627002288333 kappa -0.028836251287332113 kappa -0.02968460111317236 kappa -0.016276703967446498 kappa 0.17625231910946135 kappa 0 kappa 0.17625231910946135 kappa -0.0409207161125317 kappa 0.17625231910946135 kappa 0.33275563258232294 kb_relative_information_score -0.08863405327793815 kb_relative_information_score -0.46453504576855964 kb_relative_information_score -0.19951791625643114 kb_relative_information_score -0.45157540690181286 kb_relative_information_score -0.2195823100522174 kb_relative_information_score -0.07359926839566229 kb_relative_information_score 0.06346468214441049 kb_relative_information_score -0.35586935170749423 kb_relative_information_score -0.4302058463624828 kb_relative_information_score -0.29807870499103417 mean_absolute_error 0.09950944479334158 mean_absolute_error 0.12111012079258922 mean_absolute_error 0.12207973758228473 mean_absolute_error 0.1278988200853635 mean_absolute_error 0.11245162085191218 mean_absolute_error 0.10707567349492321 mean_absolute_error 0.09998083350877006 mean_absolute_error 0.12805892346442474 mean_absolute_error 0.12627710727084235 mean_absolute_error 0.11119987953590223 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 0.8598231258781718 [0.926606,0] precision 0.8604422604422604 [0.927273,0] precision 0.9043722621704273 [0.93578,0.5] precision 0.9043722621704273 [0.93578,0.5] precision 0.8591925258591925 [0.925926,0] precision 0.9043722621704273 [0.93578,0.5] precision 0.9240137221269297 [0.95283,0.5] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9009009009009009 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9363636363636364 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 0.7998177827908287 relative_absolute_error 0.9734355214927265 relative_absolute_error 0.9237326861200724 relative_absolute_error 0.9677635533039094 relative_absolute_error 0.8508802512626498 relative_absolute_error 0.81020242551647 relative_absolute_error 0.7565183684584019 relative_absolute_error 0.9689749969662738 relative_absolute_error 0.9554926460760557 relative_absolute_error 0.8902546530024641 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 0.228551814594868 root_mean_squared_error 0.2591443094798932 root_mean_squared_error 0.26978696306743916 root_mean_squared_error 0.2685228212019292 root_mean_squared_error 0.2577105261534523 root_mean_squared_error 0.24437929615203896 root_mean_squared_error 0.22760224340858265 root_mean_squared_error 0.2776757031845918 root_mean_squared_error 0.26455030828224124 root_mean_squared_error 0.23225501217890807 root_relative_squared_error 0.9398412036760903 root_relative_squared_error 1.0656423803902755 root_relative_squared_error 1.0432035071727521 root_relative_squared_error 1.0383153642741116 root_relative_squared_error 0.9965067313182702 root_relative_squared_error 0.9449579621180157 root_relative_squared_error 0.8800849969346651 root_relative_squared_error 1.07370743243222 root_relative_squared_error 1.0229545797388275 root_relative_squared_error 0.9511146497261349 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 0.49029126213592233 [0.980583,0] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.5 [1,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.4854368932038835 [0.970874,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.6331484049930651 [0.980583,0.285714] usercpu_time_millis 62.922926983446814 usercpu_time_millis 27.21368000493385 usercpu_time_millis 68.3449060015846 usercpu_time_millis 25.712875998578966 usercpu_time_millis 53.21511800866574 usercpu_time_millis 66.37315501575358 usercpu_time_millis 47.03586001414806 usercpu_time_millis 44.97286600235384 usercpu_time_millis 47.799170002690516 usercpu_time_millis 49.72648399416357 usercpu_time_millis_testing 0.8976409881142899 usercpu_time_millis_testing 0.7561050006188452 usercpu_time_millis_testing 0.8537160028936341 usercpu_time_millis_testing 0.6831619975855574 usercpu_time_millis_testing 1.7868590075522661 usercpu_time_millis_testing 0.6418800039682537 usercpu_time_millis_testing 0.6593790021724999 usercpu_time_millis_testing 0.7238020043587312 usercpu_time_millis_testing 0.738075003027916 usercpu_time_millis_testing 0.6847519980510697 usercpu_time_millis_training 62.025285995332524 usercpu_time_millis_training 26.457575004315004 usercpu_time_millis_training 67.49118999869097 usercpu_time_millis_training 25.02971400099341 usercpu_time_millis_training 51.428259001113474 usercpu_time_millis_training 65.73127501178533 usercpu_time_millis_training 46.37648101197556 usercpu_time_millis_training 44.24906399799511 usercpu_time_millis_training 47.0610949996626 usercpu_time_millis_training 49.0417319961125 wall_clock_time_millis 62.93344497680664 wall_clock_time_millis 27.222633361816406 wall_clock_time_millis 68.35508346557617 wall_clock_time_millis 25.71702003479004 wall_clock_time_millis 53.243160247802734 wall_clock_time_millis 66.37859344482422 wall_clock_time_millis 47.042131423950195 wall_clock_time_millis 44.98004913330078 wall_clock_time_millis 47.806739807128906 wall_clock_time_millis 49.732208251953125 wall_clock_time_millis_testing 0.9014606475830078 wall_clock_time_millis_testing 0.7593631744384766 wall_clock_time_millis_testing 0.8575916290283203 wall_clock_time_millis_testing 0.6871223449707031 wall_clock_time_millis_testing 1.7943382263183594 wall_clock_time_millis_testing 0.6453990936279297 wall_clock_time_millis_testing 0.6635189056396484 wall_clock_time_millis_testing 0.7271766662597656 wall_clock_time_millis_testing 0.7426738739013672 wall_clock_time_millis_testing 0.6878376007080078 wall_clock_time_millis_training 62.03198432922363 wall_clock_time_millis_training 26.46327018737793 wall_clock_time_millis_training 67.49749183654785 wall_clock_time_millis_training 25.029897689819336 wall_clock_time_millis_training 51.448822021484375 wall_clock_time_millis_training 65.73319435119629 wall_clock_time_millis_training 46.37861251831055 wall_clock_time_millis_training 44.252872467041016 wall_clock_time_millis_training 47.06406593322754 wall_clock_time_millis_training 49.04437065124512 weighted_recall 0.9459459459459459 [1,0.142857] weighted_recall 0.918918918918919 [0.980769,0] weighted_recall 0.9099099099099099 [0.980583,0] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9009009009009009 [0.970874,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9363636363636364 [0.980583,0.285714]