10500188 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) 8275616 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 10 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 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 21925325 description https://api.openml.org/data/download/21925325/description.xml -1 21925326 predictions https://api.openml.org/data/download/21925326/predictions.arff area_under_roc_curve 0.807283801469848 [0.807284,0.807284] average_cost 0 f_measure 0.905910232136477 [0.961321,0.163265] kappa 0.13760336848494123 kb_relative_information_score -0.2122647507599175 mean_absolute_error 0.11506759957409343 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9260595130748422 [0.987403,0.103896] number_of_instances 1109 [1032,77] precision 0.8980025283332449 [0.936581,0.380952] predictive_accuracy 0.9260595130748421 prior_entropy 0.36380676688852276 relative_absolute_error 0.885886853462888 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2516945020339012 root_relative_squared_error 0.9901888799879538 total_cost 0 unweighted_recall 0.5456496023356489 [0.987403,0.103896] area_under_roc_curve 0.6648351648351648 [0.664835,0.664835] area_under_roc_curve 0.8351648351648352 [0.835165,0.835165] area_under_roc_curve 0.8737864077669903 [0.873786,0.873786] area_under_roc_curve 0.6468446601941747 [0.646845,0.646845] area_under_roc_curve 0.7645631067961165 [0.764563,0.764563] area_under_roc_curve 0.8592233009708737 [0.859223,0.859223] area_under_roc_curve 0.8980582524271844 [0.898058,0.898058] area_under_roc_curve 0.8422330097087378 [0.842233,0.842233] area_under_roc_curve 0.7912621359223302 [0.791262,0.791262] area_under_roc_curve 0.8723994452149791 [0.872399,0.872399] 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 0.8795525383203108 [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 0.14833759590792903 kappa -0.016276703967446498 kappa 0.17625231910946135 kappa 0 kappa 0.3375959079283886 kappa -0.0409207161125317 kappa 0.17625231910946135 kappa 0.33275563258232294 kb_relative_information_score -0.0913165427609301 kb_relative_information_score -0.3453537764645429 kb_relative_information_score -0.17546255410332376 kb_relative_information_score -0.40547096223955004 kb_relative_information_score -0.17494241819569356 kb_relative_information_score -0.05715525790125354 kb_relative_information_score 0.07704517134365846 kb_relative_information_score -0.349521977357931 kb_relative_information_score -0.3793080092492184 kb_relative_information_score -0.22326902638549428 mean_absolute_error 0.10117039473642452 mean_absolute_error 0.11770361062791129 mean_absolute_error 0.12233833609708514 mean_absolute_error 0.1280149952378475 mean_absolute_error 0.11122401855015424 mean_absolute_error 0.10817132626223548 mean_absolute_error 0.09961011542316665 mean_absolute_error 0.1282436747607071 mean_absolute_error 0.12553055186316744 mean_absolute_error 0.10861080284230883 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 0.8591925258591925 [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 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 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 0.8131678452252242 relative_absolute_error 0.9460553324802619 relative_absolute_error 0.9256894064197227 relative_absolute_error 0.9686426081560068 relative_absolute_error 0.8415914340178903 relative_absolute_error 0.8184928289351544 relative_absolute_error 0.7537132804086599 relative_absolute_error 0.9703729423957028 relative_absolute_error 0.9498437345881505 relative_absolute_error 0.8695267746713767 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 0.23001183008836867 root_mean_squared_error 0.24986936528921627 root_mean_squared_error 0.2693473125088725 root_mean_squared_error 0.271114183732076 root_mean_squared_error 0.25486776009978296 root_mean_squared_error 0.24471586284626443 root_mean_squared_error 0.2264976057267891 root_mean_squared_error 0.27448098396755033 root_mean_squared_error 0.26160098109418806 root_mean_squared_error 0.22823075932719455 root_relative_squared_error 0.945845018265048 root_relative_squared_error 1.0275023431840689 root_relative_squared_error 1.0415034806058177 root_relative_squared_error 1.0483355611326584 root_relative_squared_error 0.9855144154422871 root_relative_squared_error 0.9462593873307893 root_relative_squared_error 0.8758136196572014 root_relative_squared_error 1.0613541954419778 root_relative_squared_error 1.011550216713295 root_relative_squared_error 0.9346348079971715 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 0.4854368932038835 [0.970874,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.6331484049930651 [0.980583,0.285714] usercpu_time_millis 43.53880899725482 usercpu_time_millis 47.538836995954625 usercpu_time_millis 42.57625598984305 usercpu_time_millis 58.75759900663979 usercpu_time_millis 45.95322400564328 usercpu_time_millis 45.001312013482675 usercpu_time_millis 50.78797299938742 usercpu_time_millis 58.25282099249307 usercpu_time_millis 41.01958000683226 usercpu_time_millis 60.4692249908112 usercpu_time_millis_testing 0.5639129958581179 usercpu_time_millis_testing 0.5107089964440092 usercpu_time_millis_testing 0.5087890021968633 usercpu_time_millis_testing 0.5463080015033484 usercpu_time_millis_testing 0.5588990024989471 usercpu_time_millis_testing 0.5028320010751486 usercpu_time_millis_testing 0.6880449946038425 usercpu_time_millis_testing 0.49789799959398806 usercpu_time_millis_testing 0.5108400073368102 usercpu_time_millis_testing 0.5113749939482659 usercpu_time_millis_training 42.9748960013967 usercpu_time_millis_training 47.028127999510616 usercpu_time_millis_training 42.067466987646185 usercpu_time_millis_training 58.211291005136445 usercpu_time_millis_training 45.39432500314433 usercpu_time_millis_training 44.498480012407526 usercpu_time_millis_training 50.09992800478358 usercpu_time_millis_training 57.75492299289908 usercpu_time_millis_training 40.50873999949545 usercpu_time_millis_training 59.95784999686293 wall_clock_time_millis 43.54596138000488 wall_clock_time_millis 47.54757881164551 wall_clock_time_millis 42.58418083190918 wall_clock_time_millis 58.75992774963379 wall_clock_time_millis 45.9599494934082 wall_clock_time_millis 45.003414154052734 wall_clock_time_millis 50.794363021850586 wall_clock_time_millis 58.26234817504883 wall_clock_time_millis 41.03899002075195 wall_clock_time_millis 60.47391891479492 wall_clock_time_millis_testing 0.5679130554199219 wall_clock_time_millis_testing 0.5137920379638672 wall_clock_time_millis_testing 0.5118846893310547 wall_clock_time_millis_testing 0.54931640625 wall_clock_time_millis_testing 0.5624294281005859 wall_clock_time_millis_testing 0.5056858062744141 wall_clock_time_millis_testing 0.6933212280273438 wall_clock_time_millis_testing 0.5013942718505859 wall_clock_time_millis_testing 0.5147457122802734 wall_clock_time_millis_testing 0.514984130859375 wall_clock_time_millis_training 42.97804832458496 wall_clock_time_millis_training 47.03378677368164 wall_clock_time_millis_training 42.072296142578125 wall_clock_time_millis_training 58.21061134338379 wall_clock_time_millis_training 45.39752006530762 wall_clock_time_millis_training 44.49772834777832 wall_clock_time_millis_training 50.10104179382324 wall_clock_time_millis_training 57.76095390319824 wall_clock_time_millis_training 40.52424430847168 wall_clock_time_millis_training 59.95893478393555 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 0.9009009009009009 [0.970874,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9363636363636364 [0.980583,0.285714]