10500238 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) 8275622 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 100 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 21925425 description https://api.openml.org/data/download/21925425/description.xml -1 21925426 predictions https://api.openml.org/data/download/21925426/predictions.arff area_under_roc_curve 0.8101781938991242 [0.810178,0.810178] average_cost 0 f_measure 0.9041737401940048 [0.960868,0.14433] kappa 0.11910845702583002 kb_relative_information_score -0.24320519111011213 mean_absolute_error 0.11562508473261228 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9251577998196574 [0.987403,0.090909] number_of_instances 1109 [1032,77] precision 0.8950531215921822 [0.935721,0.35] predictive_accuracy 0.9251577998196574 prior_entropy 0.36380676688852276 relative_absolute_error 0.890178841605167 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2532205072153791 root_relative_squared_error 0.9961923220547968 total_cost 0 unweighted_recall 0.5391560958421423 [0.987403,0.090909] area_under_roc_curve 0.6826923076923077 [0.682692,0.682692] area_under_roc_curve 0.8282967032967034 [0.828297,0.828297] area_under_roc_curve 0.8628640776699029 [0.862864,0.862864] area_under_roc_curve 0.6601941747572815 [0.660194,0.660194] area_under_roc_curve 0.7657766990291263 [0.765777,0.765777] area_under_roc_curve 0.8592233009708737 [0.859223,0.859223] area_under_roc_curve 0.9053398058252428 [0.90534,0.90534] area_under_roc_curve 0.8446601941747572 [0.84466,0.84466] area_under_roc_curve 0.7900485436893203 [0.790049,0.790049] area_under_roc_curve 0.8640776699029126 [0.864078,0.864078] 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 0.9233516152947432 [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 -0.02968460111317236 kappa -0.016276703967446498 kappa 0.17625231910946135 kappa 0 kappa 0.3375959079283886 kappa -0.0409207161125317 kappa 0.17625231910946135 kappa 0.33275563258232294 kb_relative_information_score -0.09513169718423803 kb_relative_information_score -0.4380083235910828 kb_relative_information_score -0.20022248688092134 kb_relative_information_score -0.4457700253106001 kb_relative_information_score -0.20727543095980017 kb_relative_information_score -0.06961414995618165 kb_relative_information_score 0.0711024750438242 kb_relative_information_score -0.35490859649693896 kb_relative_information_score -0.4161960481081855 kb_relative_information_score -0.28399613275567753 mean_absolute_error 0.100262568425339 mean_absolute_error 0.12027354360099031 mean_absolute_error 0.12270665378445449 mean_absolute_error 0.12861622956368352 mean_absolute_error 0.1120436635137208 mean_absolute_error 0.10747143820766433 mean_absolute_error 0.09961962113192684 mean_absolute_error 0.12828066178656508 mean_absolute_error 0.1261912448859266 mean_absolute_error 0.11074122367760904 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 0.9244244244244243 [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 0.9099099099099099 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 0.8058710943610271 relative_absolute_error 0.9667114430305505 relative_absolute_error 0.9284763315347108 relative_absolute_error 0.973191928213463 relative_absolute_error 0.8477933874202705 relative_absolute_error 0.8131970322252655 relative_absolute_error 0.7537852066272153 relative_absolute_error 0.9706528096810036 relative_absolute_error 0.954842956839941 relative_absolute_error 0.886582701974491 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 0.22932937594513822 root_mean_squared_error 0.2567693610964828 root_mean_squared_error 0.27031287627180606 root_mean_squared_error 0.26929474440059836 root_mean_squared_error 0.25665148600558196 root_mean_squared_error 0.24452485273949975 root_mean_squared_error 0.22693674155353194 root_mean_squared_error 0.2771116819788742 root_mean_squared_error 0.2636471181079483 root_mean_squared_error 0.2313792565855049 root_relative_squared_error 0.9430386589081361 root_relative_squared_error 1.0558762170750133 root_relative_squared_error 1.0452370913497862 root_relative_squared_error 1.0413002119441541 root_relative_squared_error 0.9924116691109133 root_relative_squared_error 0.9455207956248863 root_relative_squared_error 0.8775116558757595 root_relative_squared_error 1.0715264934675108 root_relative_squared_error 1.0194621531710144 root_relative_squared_error 0.9475283160377849 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 0.6201456310679612 [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 85.20926198980305 usercpu_time_millis 46.02844199689571 usercpu_time_millis 73.92894099757541 usercpu_time_millis 64.42992300435435 usercpu_time_millis 76.35265700810123 usercpu_time_millis 111.5029369975673 usercpu_time_millis 79.14723400608636 usercpu_time_millis 74.07202399917878 usercpu_time_millis 77.765244001057 usercpu_time_millis 80.62393699947279 usercpu_time_millis_testing 0.474184998893179 usercpu_time_millis_testing 0.465631004772149 usercpu_time_millis_testing 0.5073560023447499 usercpu_time_millis_testing 0.4918589984299615 usercpu_time_millis_testing 0.48979900020640343 usercpu_time_millis_testing 0.4965069965692237 usercpu_time_millis_testing 0.47267699846997857 usercpu_time_millis_testing 0.48455799696967006 usercpu_time_millis_testing 0.4701240104623139 usercpu_time_millis_testing 0.4778970032930374 usercpu_time_millis_training 84.73507699090987 usercpu_time_millis_training 45.56281099212356 usercpu_time_millis_training 73.42158499523066 usercpu_time_millis_training 63.93806400592439 usercpu_time_millis_training 75.86285800789483 usercpu_time_millis_training 111.00643000099808 usercpu_time_millis_training 78.67455700761639 usercpu_time_millis_training 73.58746600220911 usercpu_time_millis_training 77.29511999059469 usercpu_time_millis_training 80.14603999617975 wall_clock_time_millis 85.24465560913086 wall_clock_time_millis 46.0357666015625 wall_clock_time_millis 73.95100593566895 wall_clock_time_millis 64.43619728088379 wall_clock_time_millis 76.35855674743652 wall_clock_time_millis 111.50765419006348 wall_clock_time_millis 79.1480541229248 wall_clock_time_millis 74.11360740661621 wall_clock_time_millis 77.81004905700684 wall_clock_time_millis 80.80172538757324 wall_clock_time_millis_testing 0.4787445068359375 wall_clock_time_millis_testing 0.46896934509277344 wall_clock_time_millis_testing 0.5099773406982422 wall_clock_time_millis_testing 0.49567222595214844 wall_clock_time_millis_testing 0.4928112030029297 wall_clock_time_millis_testing 0.4990100860595703 wall_clock_time_millis_testing 0.47516822814941406 wall_clock_time_millis_testing 0.48804283142089844 wall_clock_time_millis_testing 0.4730224609375 wall_clock_time_millis_testing 0.48065185546875 wall_clock_time_millis_training 84.76591110229492 wall_clock_time_millis_training 45.56679725646973 wall_clock_time_millis_training 73.4410285949707 wall_clock_time_millis_training 63.94052505493164 wall_clock_time_millis_training 75.8657455444336 wall_clock_time_millis_training 111.0086441040039 wall_clock_time_millis_training 78.67288589477539 wall_clock_time_millis_training 73.62556457519531 wall_clock_time_millis_training 77.33702659606934 wall_clock_time_millis_training 80.32107353210449 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 0.9369369369369369 [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]