10558915 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) 8275912 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 224.662208931 17462 class_weight null 17462 dual true 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 785 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 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 22042794 description https://api.openml.org/data/download/22042794/description.xml -1 22042795 predictions https://api.openml.org/data/download/22042795/predictions.arff area_under_roc_curve 0.9999647636363637 [0.999811,1,1,1,0.999958,1,0.999985,1,1,0.999859,1] average_cost 0 f_measure 0.997454355636152 [0.98998,1,1,1,0.994995,1,0.997003,1,1,0.99002,1] kappa 0.9972 kb_relative_information_score 0.9930576167258411 mean_absolute_error 0.002322167655986303 mean_prior_absolute_error 0.1652892561983287 weighted_recall 0.9974545454545455 [0.988,1,1,1,0.994,1,0.998,1,1,0.992,1] number_of_instances 5500 [500,500,500,500,500,500,500,500,500,500,500] precision 0.9974559680227961 [0.991968,1,1,1,0.995992,1,0.996008,1,1,0.988048,1] predictive_accuracy 0.9974545454545455 prior_entropy 3.4594316186375305 relative_absolute_error 0.014049114318718697 root_mean_prior_squared_error 0.2874797872880185 root_mean_squared_error 0.02663155577538149 root_relative_squared_error 0.09263801127242394 total_cost 0 unweighted_recall 0.9974545454545456 [0.988,1,1,1,0.994,1,0.998,1,1,0.992,1] area_under_roc_curve 0.9998836363636364 [0.99984,1,1,1,0.99928,1,0.99972,1,1,0.99988,1] area_under_roc_curve 0.9999163636363635 [0.99932,1,1,1,0.99996,1,1,1,1,0.9998,1] area_under_roc_curve 0.9999927272727273 [1,1,1,1,0.99996,1,1,1,1,0.99996,1] area_under_roc_curve 0.9999454545454546 [0.99972,1,1,1,1,1,1,1,1,0.99968,1] area_under_roc_curve 0.9999636363636364 [0.99976,1,1,1,1,1,1,1,1,0.99984,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999163636363635 [0.99932,1,1,1,1,1,1,1,1,0.99976,1] 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 0.9927265453818108 [0.990099,1,1,1,0.969697,1,0.970297,1,1,0.989899,1] f_measure 0.9909252957381299 [0.949495,1,1,1,0.989899,1,1,1,1,0.960784,1] f_measure 0.9981816363454528 [1,1,1,1,0.990099,1,1,1,1,0.989899,1] f_measure 0.9981816363454528 [0.990099,1,1,1,1,1,1,1,1,0.989899,1] f_measure 0.9981816363454528 [0.989899,1,1,1,1,1,1,1,1,0.990099,1] f_measure 1 [1,1,1,1,1,1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1,1,1,1] f_measure 0.9963621812361307 [0.979592,1,1,1,1,1,1,1,1,0.980392,1] kappa 0.992 kappa 0.9900000000000001 kappa 0.998 kappa 0.998 kappa 0.998 kappa 1 kappa 1 kappa 1 kappa 1 kappa 0.996 kb_relative_information_score 0.9884427855315123 kb_relative_information_score 0.9892951445249138 kb_relative_information_score 0.9941109858238287 kb_relative_information_score 0.9919592445585244 kb_relative_information_score 0.9924616000353526 kb_relative_information_score 0.9970178545349019 kb_relative_information_score 0.9948111706038135 kb_relative_information_score 0.9951425579683253 kb_relative_information_score 0.9958078327849872 kb_relative_information_score 0.9915269908928285 mean_absolute_error 0.003516624383815632 mean_absolute_error 0.003038292134058677 mean_absolute_error 0.002039430765454005 mean_absolute_error 0.002681843898446514 mean_absolute_error 0.002478197977316125 mean_absolute_error 0.0012135725787323374 mean_absolute_error 0.00194897260419848 mean_absolute_error 0.00188199586941234 mean_absolute_error 0.0016290905745200972 mean_absolute_error 0.0027936557739088345 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 0.992797118847539 [0.980392,1,1,1,0.979592,1,0.960784,1,1,1,1] precision 0.9910446696160983 [0.959184,1,1,1,1,1,1,1,1,0.942308,1] precision 0.9982174688057041 [1,1,1,1,0.980392,1,1,1,1,1,1] precision 0.9982174688057041 [0.980392,1,1,1,1,1,1,1,1,1,1] precision 0.9982174688057041 [1,1,1,1,1,1,1,1,1,0.980392,1] precision 1 [1,1,1,1,1,1,1,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1,1,1,1] precision 0.9965034965034966 [1,1,1,1,1,1,1,1,1,0.961538,1] predictive_accuracy 0.9927272727272727 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9981818181818182 predictive_accuracy 0.9981818181818182 predictive_accuracy 0.9981818181818182 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9963636363636365 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 0.02127557752208442 relative_absolute_error 0.018381667411054868 relative_absolute_error 0.012338556130996643 relative_absolute_error 0.016225155585601295 relative_absolute_error 0.014993097762762449 relative_absolute_error 0.007342114101330589 relative_absolute_error 0.01179128425540072 relative_absolute_error 0.011386075009944575 relative_absolute_error 0.009855997975846518 relative_absolute_error 0.01690161743214833 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 0.03810514119692965 root_mean_squared_error 0.037164434476525426 root_mean_squared_error 0.024158283740783652 root_mean_squared_error 0.027792264805393617 root_mean_squared_error 0.027279526624731903 root_mean_squared_error 0.01207196433653334 root_mean_squared_error 0.02126376024577695 root_mean_squared_error 0.01921038102389992 root_mean_squared_error 0.017485410327954 root_mean_squared_error 0.029771417319958457 root_relative_squared_error 0.13254894041907317 root_relative_squared_error 0.1292766869876982 root_relative_squared_error 0.08403472107963773 root_relative_squared_error 0.0966755439315378 root_relative_squared_error 0.09489198138789368 root_relative_squared_error 0.041992393449345494 root_relative_squared_error 0.07396610539603636 root_relative_squared_error 0.06682341463072115 root_relative_squared_error 0.060823094704862815 root_relative_squared_error 0.10356003669269968 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 0.9927272727272727 [1,1,1,1,0.96,1,0.98,1,1,0.98,1] unweighted_recall 0.990909090909091 [0.94,1,1,1,0.98,1,1,1,1,0.98,1] unweighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] unweighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] unweighted_recall 0.9981818181818182 [0.98,1,1,1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] unweighted_recall 0.9963636363636365 [0.96,1,1,1,1,1,1,1,1,1,1] usercpu_time_millis 22814.344000002166 usercpu_time_millis 21447.08200000241 usercpu_time_millis 19844.052000000374 usercpu_time_millis 19478.377999999793 usercpu_time_millis 18769.318000002386 usercpu_time_millis 17506.643999997323 usercpu_time_millis 17724.208000003273 usercpu_time_millis 17898.462000004656 usercpu_time_millis 17394.501999999193 usercpu_time_millis 18200.075999997352 usercpu_time_millis_testing 2.952000002551358 usercpu_time_millis_testing 2.2040000003471505 usercpu_time_millis_testing 2.096000000165077 usercpu_time_millis_testing 2.510000002075685 usercpu_time_millis_testing 2.1159999996598344 usercpu_time_millis_testing 1.9619999984570313 usercpu_time_millis_testing 2.4740000008023344 usercpu_time_millis_testing 1.9860000029439107 usercpu_time_millis_testing 1.9339999998919666 usercpu_time_millis_testing 2.0579999982146546 usercpu_time_millis_training 22811.391999999614 usercpu_time_millis_training 21444.878000002063 usercpu_time_millis_training 19841.95600000021 usercpu_time_millis_training 19475.867999997718 usercpu_time_millis_training 18767.202000002726 usercpu_time_millis_training 17504.681999998866 usercpu_time_millis_training 17721.73400000247 usercpu_time_millis_training 17896.476000001712 usercpu_time_millis_training 17392.5679999993 usercpu_time_millis_training 18198.017999999138 wall_clock_time_millis 20195.57809829712 wall_clock_time_millis 16088.970184326172 wall_clock_time_millis 12243.786096572876 wall_clock_time_millis 11986.114978790283 wall_clock_time_millis 12329.418897628784 wall_clock_time_millis 11184.152126312256 wall_clock_time_millis 11446.261882781982 wall_clock_time_millis 11565.891027450562 wall_clock_time_millis 11024.747133255005 wall_clock_time_millis 11817.139863967896 wall_clock_time_millis_testing 1.5361309051513672 wall_clock_time_millis_testing 1.0521411895751953 wall_clock_time_millis_testing 0.9982585906982422 wall_clock_time_millis_testing 1.2738704681396484 wall_clock_time_millis_testing 1.0209083557128906 wall_clock_time_millis_testing 0.9431838989257812 wall_clock_time_millis_testing 1.2028217315673828 wall_clock_time_millis_testing 1.0018348693847656 wall_clock_time_millis_testing 0.9431838989257812 wall_clock_time_millis_testing 0.9789466857910156 wall_clock_time_millis_training 20194.041967391968 wall_clock_time_millis_training 16087.918043136597 wall_clock_time_millis_training 12242.787837982178 wall_clock_time_millis_training 11984.841108322144 wall_clock_time_millis_training 12328.397989273071 wall_clock_time_millis_training 11183.20894241333 wall_clock_time_millis_training 11445.059061050415 wall_clock_time_millis_training 11564.889192581177 wall_clock_time_millis_training 11023.80394935608 wall_clock_time_millis_training 11816.160917282104 weighted_recall 0.9927272727272727 [1,1,1,1,0.96,1,0.98,1,1,0.98,1] weighted_recall 0.990909090909091 [0.94,1,1,1,0.98,1,1,1,1,0.98,1] weighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] weighted_recall 0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1] weighted_recall 0.9981818181818182 [0.98,1,1,1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1,1,1,1] weighted_recall 0.9963636363636363 [0.96,1,1,1,1,1,1,1,1,1,1]