10500231 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) 8275627 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.1 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 21925411 description https://api.openml.org/data/download/21925411/description.xml -1 21925412 predictions https://api.openml.org/data/download/21925412/predictions.arff area_under_roc_curve 0.8295957918050941 [0.829596,0.829596] average_cost 0 f_measure 0.9093773568364701 [0.964252,0.173913] kappa 0.1547764696443977 kb_relative_information_score -0.16115421700578114 mean_absolute_error 0.11541395524554433 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9314697926059513 [0.993217,0.103896] number_of_instances 1109 [1032,77] precision 0.9089063003985453 [0.936929,0.533333] predictive_accuracy 0.9314697926059513 prior_entropy 0.36380676688852276 relative_absolute_error 0.8885533898041027 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2437584000449438 root_relative_squared_error 0.9589675387333187 total_cost 0 unweighted_recall 0.5485565790798349 [0.993217,0.103896] area_under_roc_curve 0.8406593406593407 [0.840659,0.840659] area_under_roc_curve 0.8131868131868132 [0.813187,0.813187] area_under_roc_curve 0.8640776699029126 [0.864078,0.864078] area_under_roc_curve 0.7706310679611651 [0.770631,0.770631] area_under_roc_curve 0.7694174757281552 [0.769417,0.769417] area_under_roc_curve 0.866504854368932 [0.866505,0.866505] area_under_roc_curve 0.9223300970873787 [0.92233,0.92233] area_under_roc_curve 0.8046116504854369 [0.804612,0.804612] area_under_roc_curve 0.779126213592233 [0.779126,0.779126] area_under_roc_curve 0.8571428571428571 [0.857143,0.857143] 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 0.9429711401542388 [0.976526,0.444444] f_measure 0.8973480522776298 [0.957746,0] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9304946455889852 [0.971698,0.4] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9194408540380105 [0.966825,0.222222] kappa 0.4284243048403709 kappa -0.028836251287332113 kappa 0.14833759590792903 kappa 0 kappa 0 kappa 0 kappa 0.3821892393320963 kappa 0.17625231910946135 kappa 0.17625231910946135 kappa 0.19958419958419998 kb_relative_information_score 0.002039133663146807 kb_relative_information_score -0.35987367977606466 kb_relative_information_score -0.15093501557642008 kb_relative_information_score -0.2668634445233559 kb_relative_information_score -0.17971504057228566 kb_relative_information_score -0.02502485549424878 kb_relative_information_score 0.02625319245551523 kb_relative_information_score -0.28000395614828855 kb_relative_information_score -0.22733531574346455 kb_relative_information_score -0.15247374780985987 mean_absolute_error 0.09825502725888076 mean_absolute_error 0.11775700044689832 mean_absolute_error 0.1226129224241181 mean_absolute_error 0.12432767350269654 mean_absolute_error 0.11758047557613885 mean_absolute_error 0.11009950112422782 mean_absolute_error 0.10418528518407841 mean_absolute_error 0.12544153963472562 mean_absolute_error 0.12255113357681896 mean_absolute_error 0.11129185771305475 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 0.9570212414249112 [0.954128,1] precision 0.8767666749318126 [0.93578,0] precision 0.8918084751418085 [0.935185,0.333333] precision 0.9489213984626829 [0.944954,1] precision 0.9043722621704273 [0.93578,0.5] precision 0.9043722621704273 [0.93578,0.5] precision 0.9161616161616161 [0.944444,0.5] predictive_accuracy 0.9549549549549549 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9459459459459459 predictive_accuracy 0.927927927927928 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 0.7897352679783901 relative_absolute_error 0.9464844588484624 relative_absolute_error 0.9277671006420833 relative_absolute_error 0.9407419943567337 relative_absolute_error 0.8896884175067509 relative_absolute_error 0.8330826222935884 relative_absolute_error 0.7883319152157159 relative_absolute_error 0.9491702116390971 relative_absolute_error 0.9272995670528222 relative_absolute_error 0.8909910207083148 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 0.211892495113521 root_mean_squared_error 0.23809477728031433 root_mean_squared_error 0.260389123676115 root_mean_squared_error 0.25870775416908026 root_mean_squared_error 0.25159012214040977 root_mean_squared_error 0.2419508370842235 root_mean_squared_error 0.22223412555081506 root_mean_squared_error 0.2654933675553088 root_mean_squared_error 0.25178989757368514 root_mean_squared_error 0.22954418314546043 root_relative_squared_error 0.8713354475457897 root_relative_squared_error 0.9790833753159179 root_relative_squared_error 1.0068642456257628 root_relative_squared_error 1.000362780370922 root_relative_squared_error 0.9728405509397762 root_relative_squared_error 0.9355676751013029 root_relative_squared_error 0.8593277323416388 root_relative_squared_error 1.0266011708489027 root_relative_squared_error 0.9736130361268668 root_relative_squared_error 0.940013450305608 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 0.6428571428571428 [1,0.285714] unweighted_recall 0.49038461538461536 [0.980769,0] unweighted_recall 0.5527912621359223 [0.980583,0.125] unweighted_recall 0.5 [1,0] 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 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.5665742024965326 [0.990291,0.142857] usercpu_time_millis 13.458861983963288 usercpu_time_millis 14.029441008460708 usercpu_time_millis 13.390756997978315 usercpu_time_millis 13.253103999886662 usercpu_time_millis 13.342428996111266 usercpu_time_millis 13.93395998456981 usercpu_time_millis 13.569344999268651 usercpu_time_millis 13.606755004730076 usercpu_time_millis 13.783017013338394 usercpu_time_millis 13.144518015906215 usercpu_time_millis_testing 0.4699099954450503 usercpu_time_millis_testing 0.4791890096385032 usercpu_time_millis_testing 0.48297399189323187 usercpu_time_millis_testing 0.4790310049429536 usercpu_time_millis_testing 0.48718199832364917 usercpu_time_millis_testing 0.5010659951949492 usercpu_time_millis_testing 0.48114800301846117 usercpu_time_millis_testing 0.47340600576717407 usercpu_time_millis_testing 0.4765190096804872 usercpu_time_millis_testing 0.48374501056969166 usercpu_time_millis_training 12.988951988518238 usercpu_time_millis_training 13.550251998822205 usercpu_time_millis_training 12.907783006085083 usercpu_time_millis_training 12.774072994943708 usercpu_time_millis_training 12.855246997787617 usercpu_time_millis_training 13.432893989374861 usercpu_time_millis_training 13.08819699625019 usercpu_time_millis_training 13.133348998962902 usercpu_time_millis_training 13.306498003657907 usercpu_time_millis_training 12.660773005336523 wall_clock_time_millis 13.451576232910156 wall_clock_time_millis 14.036178588867188 wall_clock_time_millis 13.399839401245117 wall_clock_time_millis 13.252973556518555 wall_clock_time_millis 13.35000991821289 wall_clock_time_millis 13.938665390014648 wall_clock_time_millis 13.570308685302734 wall_clock_time_millis 13.607025146484375 wall_clock_time_millis 13.791561126708984 wall_clock_time_millis 13.14997673034668 wall_clock_time_millis_testing 0.47326087951660156 wall_clock_time_millis_testing 0.48160552978515625 wall_clock_time_millis_testing 0.4851818084716797 wall_clock_time_millis_testing 0.4818439483642578 wall_clock_time_millis_testing 0.4901885986328125 wall_clock_time_millis_testing 0.5037784576416016 wall_clock_time_millis_testing 0.4832744598388672 wall_clock_time_millis_testing 0.4763603210449219 wall_clock_time_millis_testing 0.47969818115234375 wall_clock_time_millis_testing 0.4863739013671875 wall_clock_time_millis_training 12.978315353393555 wall_clock_time_millis_training 13.554573059082031 wall_clock_time_millis_training 12.914657592773438 wall_clock_time_millis_training 12.771129608154297 wall_clock_time_millis_training 12.859821319580078 wall_clock_time_millis_training 13.434886932373047 wall_clock_time_millis_training 13.087034225463867 wall_clock_time_millis_training 13.130664825439453 wall_clock_time_millis_training 13.31186294555664 wall_clock_time_millis_training 12.663602828979492 weighted_recall 0.954954954954955 [1,0.285714] weighted_recall 0.918918918918919 [0.980769,0] weighted_recall 0.918918918918919 [0.980583,0.125] weighted_recall 0.9279279279279279 [1,0] 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 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9363636363636364 [0.990291,0.142857]