10500226 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 21925401 description https://api.openml.org/data/download/21925401/description.xml -1 21925402 predictions https://api.openml.org/data/download/21925402/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 36.55333699134644 usercpu_time_millis 44.89428800297901 usercpu_time_millis 40.8622670074692 usercpu_time_millis 53.35646099410951 usercpu_time_millis 43.06769400136545 usercpu_time_millis 42.24746300315019 usercpu_time_millis 47.85682300280314 usercpu_time_millis 43.24900500068907 usercpu_time_millis 55.383533996064216 usercpu_time_millis 45.105193989002146 usercpu_time_millis_testing 0.5598529969574884 usercpu_time_millis_testing 0.5074530054116622 usercpu_time_millis_testing 0.4892810102319345 usercpu_time_millis_testing 0.4946120025124401 usercpu_time_millis_testing 0.5210579984122887 usercpu_time_millis_testing 0.512992002768442 usercpu_time_millis_testing 0.4972080059815198 usercpu_time_millis_testing 0.49591199785936624 usercpu_time_millis_testing 0.743048993172124 usercpu_time_millis_testing 0.4912369913654402 usercpu_time_millis_training 35.99348399438895 usercpu_time_millis_training 44.38683499756735 usercpu_time_millis_training 40.372985997237265 usercpu_time_millis_training 52.86184899159707 usercpu_time_millis_training 42.546636002953164 usercpu_time_millis_training 41.734471000381745 usercpu_time_millis_training 47.35961499682162 usercpu_time_millis_training 42.7530930028297 usercpu_time_millis_training 54.64048500289209 usercpu_time_millis_training 44.613956997636706 wall_clock_time_millis 36.559343338012695 wall_clock_time_millis 44.90184783935547 wall_clock_time_millis 40.87090492248535 wall_clock_time_millis 53.36570739746094 wall_clock_time_millis 43.089866638183594 wall_clock_time_millis 42.25325584411621 wall_clock_time_millis 47.86181449890137 wall_clock_time_millis 43.259382247924805 wall_clock_time_millis 55.39512634277344 wall_clock_time_millis 45.11451721191406 wall_clock_time_millis_testing 0.5636215209960938 wall_clock_time_millis_testing 0.5114078521728516 wall_clock_time_millis_testing 0.4947185516357422 wall_clock_time_millis_testing 0.5006790161132812 wall_clock_time_millis_testing 0.52642822265625 wall_clock_time_millis_testing 0.5171298980712891 wall_clock_time_millis_testing 0.5018711090087891 wall_clock_time_millis_testing 0.5016326904296875 wall_clock_time_millis_testing 0.7493495941162109 wall_clock_time_millis_testing 0.49614906311035156 wall_clock_time_millis_training 35.9957218170166 wall_clock_time_millis_training 44.39043998718262 wall_clock_time_millis_training 40.37618637084961 wall_clock_time_millis_training 52.865028381347656 wall_clock_time_millis_training 42.563438415527344 wall_clock_time_millis_training 41.73612594604492 wall_clock_time_millis_training 47.35994338989258 wall_clock_time_millis_training 42.75774955749512 wall_clock_time_millis_training 54.64577674865723 wall_clock_time_millis_training 44.61836814880371 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]