10500234 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) 8275628 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.01 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21925417 description https://api.openml.org/data/download/21925417/description.xml -1 21925418 predictions https://api.openml.org/data/download/21925418/predictions.arff area_under_roc_curve 0.802061310782241 [0.802061,0.802061] average_cost 0 f_measure 0.9057165004485965 [0.963346,0.133333] kappa 0.11559381645673154 kb_relative_information_score -3.399004754383847 mean_absolute_error 0.23576628433360874 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9296663660955816 [0.993217,0.077922] number_of_instances 1109 [1032,77] precision 0.902330430063049 [0.935219,0.461538] predictive_accuracy 0.9296663660955816 prior_entropy 0.36380676688852276 relative_absolute_error 1.8151265217490546 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2780333090923097 root_relative_squared_error 1.0938081233589176 total_cost 0 unweighted_recall 0.5355695660928219 [0.993217,0.077922] area_under_roc_curve 0.8228021978021978 [0.822802,0.822802] area_under_roc_curve 0.7870879120879122 [0.787088,0.787088] area_under_roc_curve 0.8094660194174758 [0.809466,0.809466] area_under_roc_curve 0.7317961165048544 [0.731796,0.731796] area_under_roc_curve 0.7317961165048544 [0.731796,0.731796] area_under_roc_curve 0.8155339805825242 [0.815534,0.815534] area_under_roc_curve 0.9174757281553398 [0.917476,0.917476] area_under_roc_curve 0.7864077669902912 [0.786408,0.786408] area_under_roc_curve 0.7742718446601943 [0.774272,0.774272] area_under_roc_curve 0.8294036061026352 [0.829404,0.829404] 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 0.9304946455889852 [0.971698,0.4] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9134486599275331 [0.967136,0.222222] f_measure 0.9010291595197255 [0.962264,0] kappa 0.23798627002288333 kappa -0.028836251287332113 kappa 0.14833759590792903 kappa -0.016276703967446498 kappa 0 kappa 0 kappa 0.3821892393320963 kappa 0.17625231910946135 kappa 0.20956256358087416 kappa -0.01616628175519612 kb_relative_information_score -3.5865328991330383 kb_relative_information_score -3.7919716472373817 kb_relative_information_score -3.2551978250527025 kb_relative_information_score -3.3378873459556355 kb_relative_information_score -3.3441469166658893 kb_relative_information_score -3.2314062090375204 kb_relative_information_score -3.2259167864630616 kb_relative_information_score -3.3187261595554243 kb_relative_information_score -3.3022448084765457 kb_relative_information_score -3.6735523020240226 mean_absolute_error 0.2221179815990616 mean_absolute_error 0.2404958971990634 mean_absolute_error 0.23738844681683405 mean_absolute_error 0.24099992862765757 mean_absolute_error 0.24071743824092026 mean_absolute_error 0.2335266476109077 mean_absolute_error 0.2287467431484362 mean_absolute_error 0.24283803839149717 mean_absolute_error 0.23803079005169978 mean_absolute_error 0.23277397389833643 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 0.9489213984626829 [0.944954,1] precision 0.9043722621704273 [0.93578,0.5] precision 0.940950040950041 [0.936364,1] precision 0.8762301918265222 [0.93578,0] 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 0.9459459459459459 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9272727272727274 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 1.7852969829093328 relative_absolute_error 1.9330114409493395 relative_absolute_error 1.796231479316407 relative_absolute_error 1.8235582401700434 relative_absolute_error 1.8214207388212378 relative_absolute_error 1.7670106583645082 relative_absolute_error 1.7308428710153583 relative_absolute_error 1.837466543899732 relative_absolute_error 1.8010918554402795 relative_absolute_error 1.8635641893295578 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 0.25842655362221945 root_mean_squared_error 0.28350853303172946 root_mean_squared_error 0.2818444739243649 root_mean_squared_error 0.285130160073291 root_mean_squared_error 0.2861428538615915 root_mean_squared_error 0.27603031554712637 root_mean_squared_error 0.2641627157937111 root_mean_squared_error 0.2937187164546816 root_mean_squared_error 0.27936145608198737 root_mean_squared_error 0.2700424977715954 root_relative_squared_error 1.0626908548011331 root_relative_squared_error 1.165831920474134 root_relative_squared_error 1.0898271003616276 root_relative_squared_error 1.1025320853433216 root_relative_squared_error 1.1064479369457694 root_relative_squared_error 1.0673451007074157 root_relative_squared_error 1.021455849634188 root_relative_squared_error 1.1357420375098315 root_relative_squared_error 1.0802258472392028 root_relative_squared_error 1.1058593451639027 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 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.625 [1,0.25] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.49514563106796117 [0.990291,0] usercpu_time_millis 11.457845015684143 usercpu_time_millis 13.198297005146742 usercpu_time_millis 13.02524100174196 usercpu_time_millis 13.686446996871382 usercpu_time_millis 13.277088990435004 usercpu_time_millis 13.234494996140711 usercpu_time_millis 9.179701009998098 usercpu_time_millis 8.87554399378132 usercpu_time_millis 8.6861870076973 usercpu_time_millis 8.33848699403461 usercpu_time_millis_testing 0.7648800092283636 usercpu_time_millis_testing 0.8938100072555244 usercpu_time_millis_testing 0.9026320039993152 usercpu_time_millis_testing 0.966284002061002 usercpu_time_millis_testing 0.916496996069327 usercpu_time_millis_testing 0.9759590029716492 usercpu_time_millis_testing 0.6512840045616031 usercpu_time_millis_testing 0.6613790028495714 usercpu_time_millis_testing 0.6901320011820644 usercpu_time_millis_testing 0.6422739970730618 usercpu_time_millis_training 10.692965006455779 usercpu_time_millis_training 12.304486997891217 usercpu_time_millis_training 12.122608997742645 usercpu_time_millis_training 12.72016299481038 usercpu_time_millis_training 12.360591994365677 usercpu_time_millis_training 12.258535993169062 usercpu_time_millis_training 8.528417005436495 usercpu_time_millis_training 8.21416499093175 usercpu_time_millis_training 7.996055006515235 usercpu_time_millis_training 7.696212996961549 wall_clock_time_millis 11.488676071166992 wall_clock_time_millis 13.208150863647461 wall_clock_time_millis 13.035058975219727 wall_clock_time_millis 13.696908950805664 wall_clock_time_millis 13.285160064697266 wall_clock_time_millis 13.247489929199219 wall_clock_time_millis 9.225130081176758 wall_clock_time_millis 8.882999420166016 wall_clock_time_millis 8.703470230102539 wall_clock_time_millis 8.344411849975586 wall_clock_time_millis_testing 0.7712841033935547 wall_clock_time_millis_testing 0.8981227874755859 wall_clock_time_millis_testing 0.9076595306396484 wall_clock_time_millis_testing 0.9710788726806641 wall_clock_time_millis_testing 0.9210109710693359 wall_clock_time_millis_testing 0.9837150573730469 wall_clock_time_millis_testing 0.6921291351318359 wall_clock_time_millis_testing 0.6666183471679688 wall_clock_time_millis_testing 0.7033348083496094 wall_clock_time_millis_testing 0.6453990936279297 wall_clock_time_millis_training 10.717391967773438 wall_clock_time_millis_training 12.310028076171875 wall_clock_time_millis_training 12.127399444580078 wall_clock_time_millis_training 12.725830078125 wall_clock_time_millis_training 12.36414909362793 wall_clock_time_millis_training 12.263774871826172 wall_clock_time_millis_training 8.533000946044922 wall_clock_time_millis_training 8.216381072998047 wall_clock_time_millis_training 8.00013542175293 wall_clock_time_millis_training 7.699012756347656 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 [1,0] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9459459459459459 [1,0.25] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9369369369369369 [1,0.125] weighted_recall 0.9272727272727272 [0.990291,0]