10558907 8323 Heinrich Peters 125922 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275905 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "auto" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 40499 texture https://www.openml.org/data/download/4535764/phpBDgUyY -1 22042778 description https://api.openml.org/data/download/22042778/description.xml -1 22042779 predictions https://api.openml.org/data/download/22042779/predictions.arff area_under_roc_curve 0.9999572727272728 [0.99978,1,0.999996,0.99999,0.999952,0.999984,0.999992,0.999996,1,0.999853,0.999987] average_cost 0 f_measure 0.9945493698492633 [0.98709,1,0.997996,0.996008,0.991984,0.993988,0.996997,0.995984,1,0.985972,0.994024] kappa 0.994 kb_relative_information_score 0.9852445469888635 mean_absolute_error 0.005330299567466345 mean_prior_absolute_error 0.1652892561983287 weighted_recall 0.9945454545454545 [0.994,1,0.996,0.998,0.99,0.992,0.996,0.992,1,0.984,0.998] number_of_instances 5500 [500,500,500,500,500,500,500,500,500,500,500] precision 0.9945715492867669 [0.980276,1,1,0.994024,0.993976,0.995984,0.997996,1,1,0.987952,0.990079] predictive_accuracy 0.9945454545454545 prior_entropy 3.4594316186375305 relative_absolute_error 0.03224831238317497 root_mean_prior_squared_error 0.2874797872880185 root_mean_squared_error 0.03338937007164109 root_relative_squared_error 0.1161451049711163 total_cost 0 unweighted_recall 0.9945454545454546 [0.994,1,0.996,0.998,0.99,0.992,0.996,0.992,1,0.984,0.998] area_under_roc_curve 0.9999454545454546 [0.9998,1,1,1,0.99984,1,0.99992,1,1,0.99984,1] area_under_roc_curve 0.9997527272727273 [0.99844,1,1,1,1,1,1,1,1,0.99884,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999963636363637 [1,1,1,1,1,0.99996,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999963636363637 [1,1,1,1,1,1,1,1,1,0.99996,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999927272727273 [1,1,1,1,0.99992,1,1,1,1,1,1] area_under_roc_curve 0.9999818181818182 [0.99984,1,1,1,1,1,1,1,1,0.99996,1] area_under_roc_curve 0.9999127272727273 [0.99956,1,1,1,0.99988,0.99984,1,1,1,0.99988,0.99988] 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 0.9945450908727236 [0.990099,1,1,1,0.989899,0.989899,0.990099,1,1,0.98,1] f_measure 0.9891069320835827 [0.960784,1,1,0.990099,0.989899,1,1,0.989899,1,0.949495,1] f_measure 0.9963632726909054 [1,1,0.989899,0.990099,0.990099,1,0.989899,1,1,1,1] f_measure 0.9927072702904909 [0.980392,1,1,1,0.990099,0.979592,1,1,1,0.969697,1] f_measure 0.9963621812361307 [1,1,1,1,1,1,1,0.979592,1,1,0.980392] f_measure 0.9963632726909054 [0.990099,1,1,1,0.989899,1,1,0.989899,1,0.990099,1] f_measure 0.9981816363454528 [1,1,0.989899,0.990099,1,1,1,1,1,1,1] f_measure 0.9945450908727236 [0.990099,1,1,1,0.98,1,0.989899,1,1,0.989899,0.990099] f_measure 0.9981816363454528 [0.990099,1,1,1,1,1,1,1,1,0.989899,1] f_measure 0.9891080017092618 [0.969697,1,1,0.989899,0.989899,0.970297,1,1,1,0.990099,0.970297] kappa 0.994 kappa 0.988 kappa 0.996 kappa 0.992 kappa 0.996 kappa 0.996 kappa 0.998 kappa 0.994 kappa 0.998 kappa 0.988 kb_relative_information_score 0.9848060566921203 kb_relative_information_score 0.9828405407716849 kb_relative_information_score 0.9867596839905662 kb_relative_information_score 0.9846289686572302 kb_relative_information_score 0.9855625492757984 kb_relative_information_score 0.9860958070599897 kb_relative_information_score 0.9856725672503801 kb_relative_information_score 0.9871798451675656 kb_relative_information_score 0.9860474709911965 kb_relative_information_score 0.9828519800326864 mean_absolute_error 0.00533715264511693 mean_absolute_error 0.005881096477659989 mean_absolute_error 0.004993500616031251 mean_absolute_error 0.005706844015139192 mean_absolute_error 0.00521672980781513 mean_absolute_error 0.005275808159285477 mean_absolute_error 0.005169358998094161 mean_absolute_error 0.004785627781771182 mean_absolute_error 0.00531413854702233 mean_absolute_error 0.0056227386267276745 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 mean_prior_absolute_error 0.16528925619834828 number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] number_of_instances 550 [50,50,50,50,50,50,50,50,50,50,50] precision 0.9946167557932263 [0.980392,1,1,1,1,1,0.980392,1,1,0.98,1] precision 0.9892621384218023 [0.942308,1,1,0.980392,1,1,1,1,1,0.959184,1] precision 0.9964349376114081 [1,1,1,0.980392,0.980392,1,1,1,1,1,1] precision 0.9928656777396273 [0.961538,1,1,1,0.980392,1,1,1,1,0.979592,1] precision 0.9965034965034966 [1,1,1,1,1,1,1,1,1,1,0.961538] precision 0.9964349376114081 [0.980392,1,1,1,1,1,1,1,1,0.980392,1] precision 0.9982174688057041 [1,1,1,0.980392,1,1,1,1,1,1,1] precision 0.9946167557932263 [0.980392,1,1,1,0.98,1,1,1,1,1,0.980392] precision 0.9982174688057041 [0.980392,1,1,1,1,1,1,1,1,1,1] precision 0.9892320564589473 [0.979592,1,1,1,1,0.960784,1,1,1,0.980392,0.960784] predictive_accuracy 0.9945454545454545 predictive_accuracy 0.989090909090909 predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9927272727272727 predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9981818181818182 predictive_accuracy 0.9945454545454545 predictive_accuracy 0.9981818181818182 predictive_accuracy 0.989090909090909 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 prior_entropy 3.459431618637332 relative_absolute_error 0.0322897735029572 relative_absolute_error 0.03558063368984268 relative_absolute_error 0.030210678726988852 relative_absolute_error 0.034526406291591864 relative_absolute_error 0.03156121533728131 relative_absolute_error 0.03191863936367691 relative_absolute_error 0.03127462193846946 relative_absolute_error 0.028953048079715448 relative_absolute_error 0.03215053820948487 relative_absolute_error 0.034017568691702194 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_prior_squared_error 0.2874797872880355 root_mean_squared_error 0.03505670708865748 root_mean_squared_error 0.03866043654179185 root_mean_squared_error 0.03010157482447937 root_mean_squared_error 0.03409861967900143 root_mean_squared_error 0.032531290992064324 root_mean_squared_error 0.031032803020404794 root_mean_squared_error 0.031925464069506554 root_mean_squared_error 0.029313729588850597 root_mean_squared_error 0.02970856249836933 root_mean_squared_error 0.039668994949286655 root_relative_squared_error 0.12194494583208038 root_relative_squared_error 0.1344805382893117 root_relative_squared_error 0.10470849136367144 root_relative_squared_error 0.11861223357883208 root_relative_squared_error 0.1131602722367056 root_relative_squared_error 0.1079477736962147 root_relative_squared_error 0.11105289999925932 root_relative_squared_error 0.10196796743654259 root_relative_squared_error 0.10334139585473999 root_relative_squared_error 0.1379888141824071 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 0.9945454545454546 [1,1,1,1,0.98,0.98,1,1,1,0.98,1] unweighted_recall 0.989090909090909 [0.98,1,1,1,0.98,1,1,0.98,1,0.94,1] unweighted_recall 0.9963636363636365 [1,1,0.98,1,1,1,0.98,1,1,1,1] unweighted_recall 0.9927272727272729 [1,1,1,1,1,0.96,1,1,1,0.96,1] unweighted_recall 0.9963636363636365 [1,1,1,1,1,1,1,0.96,1,1,1] unweighted_recall 0.9963636363636365 [1,1,1,1,0.98,1,1,0.98,1,1,1] unweighted_recall 0.9981818181818182 [1,1,0.98,1,1,1,1,1,1,1,1] unweighted_recall 0.9945454545454546 [1,1,1,1,0.98,1,0.98,1,1,0.98,1] unweighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] unweighted_recall 0.9890909090909091 [0.96,1,1,0.98,0.98,0.98,1,1,1,1,0.98] usercpu_time_millis 2655.6339999988268 usercpu_time_millis 2733.987999999954 usercpu_time_millis 2677.7060000022175 usercpu_time_millis 2819.8060000031546 usercpu_time_millis 2705.5639999998675 usercpu_time_millis 2834.654000002047 usercpu_time_millis 2943.9019999990705 usercpu_time_millis 2965.4040000023087 usercpu_time_millis 2998.4960000001593 usercpu_time_millis 3095.155999995768 usercpu_time_millis_testing 2.3819999987608753 usercpu_time_millis_testing 2.294000001711538 usercpu_time_millis_testing 2.8620000011869706 usercpu_time_millis_testing 2.2620000017923303 usercpu_time_millis_testing 2.3019999971438665 usercpu_time_millis_testing 2.9080000022077 usercpu_time_millis_testing 2.3419999997713603 usercpu_time_millis_testing 2.4680000024090987 usercpu_time_millis_testing 2.5040000000444707 usercpu_time_millis_testing 3.7439999978232663 usercpu_time_millis_training 2653.252000000066 usercpu_time_millis_training 2731.6939999982424 usercpu_time_millis_training 2674.8440000010305 usercpu_time_millis_training 2817.5440000013623 usercpu_time_millis_training 2703.2620000027237 usercpu_time_millis_training 2831.745999999839 usercpu_time_millis_training 2941.559999999299 usercpu_time_millis_training 2962.9359999998996 usercpu_time_millis_training 2995.992000000115 usercpu_time_millis_training 3091.411999997945 wall_clock_time_millis 923.1822490692139 wall_clock_time_millis 862.7381324768066 wall_clock_time_millis 877.7322769165039 wall_clock_time_millis 939.112663269043 wall_clock_time_millis 822.4160671234131 wall_clock_time_millis 886.6949081420898 wall_clock_time_millis 900.0518321990967 wall_clock_time_millis 917.1552658081055 wall_clock_time_millis 932.9864978790283 wall_clock_time_millis 969.5918560028076 wall_clock_time_millis_testing 0.8080005645751953 wall_clock_time_millis_testing 0.5960464477539062 wall_clock_time_millis_testing 0.8230209350585938 wall_clock_time_millis_testing 0.5817413330078125 wall_clock_time_millis_testing 0.5860328674316406 wall_clock_time_millis_testing 1.132965087890625 wall_clock_time_millis_testing 0.5900859832763672 wall_clock_time_millis_testing 0.6241798400878906 wall_clock_time_millis_testing 0.9071826934814453 wall_clock_time_millis_testing 1.3608932495117188 wall_clock_time_millis_training 922.3742485046387 wall_clock_time_millis_training 862.1420860290527 wall_clock_time_millis_training 876.9092559814453 wall_clock_time_millis_training 938.5309219360352 wall_clock_time_millis_training 821.8300342559814 wall_clock_time_millis_training 885.5619430541992 wall_clock_time_millis_training 899.4617462158203 wall_clock_time_millis_training 916.5310859680176 wall_clock_time_millis_training 932.0793151855469 wall_clock_time_millis_training 968.2309627532959 weighted_recall 0.9945454545454545 [1,1,1,1,0.98,0.98,1,1,1,0.98,1] weighted_recall 0.9890909090909091 [0.98,1,1,1,0.98,1,1,0.98,1,0.94,1] weighted_recall 0.9963636363636363 [1,1,0.98,1,1,1,0.98,1,1,1,1] weighted_recall 0.9927272727272727 [1,1,1,1,1,0.96,1,1,1,0.96,1] weighted_recall 0.9963636363636363 [1,1,1,1,1,1,1,0.96,1,1,1] weighted_recall 0.9963636363636363 [1,1,1,1,0.98,1,1,0.98,1,1,1] weighted_recall 0.9981818181818182 [1,1,0.98,1,1,1,1,1,1,1,1] weighted_recall 0.9945454545454545 [1,1,1,1,0.98,1,0.98,1,1,0.98,1] weighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] weighted_recall 0.9890909090909091 [0.96,1,1,0.98,0.98,0.98,1,1,1,1,0.98]