10558209 8323 Heinrich Peters 9952 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275916 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 0.1 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 "warn" 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. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22041381 description https://api.openml.org/data/download/22041381/description.xml -1 22041382 predictions https://api.openml.org/data/download/22041382/predictions.arff area_under_roc_curve 0.8123701561000293 [0.81237,0.81237] average_cost 0 f_measure 0.7386278688357896 [0.829952,0.518781] kappa 0.35225432799481987 kb_relative_information_score 0.2358081383434254 mean_absolute_error 0.3129693850733554 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.7487046632124352 [0.867994,0.461538] number_of_instances 5404 [3818,1586] precision 0.7355652489306949 [0.795106,0.592233] predictive_accuracy 0.7487046632124352 prior_entropy 0.8731822780289229 relative_absolute_error 0.7546236104685679 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.39736900854978396 root_relative_squared_error 0.8726493579380464 total_cost 0 unweighted_recall 0.6647660877624209 [0.867994,0.461538] area_under_roc_curve 0.791283875004116 [0.791284,0.791284] area_under_roc_curve 0.8264842438012447 [0.826484,0.826484] area_under_roc_curve 0.781849912739965 [0.78185,0.78185] area_under_roc_curve 0.8218907438506373 [0.821891,0.821891] area_under_roc_curve 0.8044270660746239 [0.804427,0.804427] area_under_roc_curve 0.7965073894890318 [0.796507,0.796507] area_under_roc_curve 0.8538339187487574 [0.853834,0.853834] area_under_roc_curve 0.8133905494068526 [0.813391,0.813391] area_under_roc_curve 0.8102807903729013 [0.810281,0.810281] area_under_roc_curve 0.8282077947803695 [0.828208,0.828208] 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 0.7373469168785611 [0.828105,0.519298] f_measure 0.7590261474677471 [0.836317,0.573333] f_measure 0.7081573212214575 [0.811955,0.458781] f_measure 0.7615785543701956 [0.842371,0.567474] f_measure 0.7384717058323704 [0.83188,0.512635] f_measure 0.7342943815554772 [0.824716,0.515679] f_measure 0.7491997354497355 [0.8375,0.535714] f_measure 0.7227979171177481 [0.826568,0.47191] f_measure 0.738451254708598 [0.829146,0.521127] f_measure 0.7348008347772887 [0.831266,0.50365] kappa 0.35051745138761103 kappa 0.41046466091161404 kappa 0.2756541554722068 kappa 0.4120025389317357 kappa 0.3489676359219833 kappa 0.34282412271485596 kappa 0.37681982813720627 kappa 0.3061529488955313 kappa 0.35357803010298383 kappa 0.3406948559116616 kb_relative_information_score 0.2157662660505359 kb_relative_information_score 0.24279403332488925 kb_relative_information_score 0.20706371201643603 kb_relative_information_score 0.2547454679446459 kb_relative_information_score 0.2214906387585873 kb_relative_information_score 0.20632373461315962 kb_relative_information_score 0.2804870779597319 kb_relative_information_score 0.24365615914759772 kb_relative_information_score 0.22517216962676867 kb_relative_information_score 0.26062981085655307 mean_absolute_error 0.3201903407982166 mean_absolute_error 0.31248920541412467 mean_absolute_error 0.3219741032246671 mean_absolute_error 0.30607053318469357 mean_absolute_error 0.3197602630846642 mean_absolute_error 0.3229690475308592 mean_absolute_error 0.2983213614923192 mean_absolute_error 0.30770546072149735 mean_absolute_error 0.3156025601133835 mean_absolute_error 0.30459459249815246 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.7340850065166926 [0.795181,0.587302] precision 0.7564948676603611 [0.8175,0.609929] precision 0.7035128929008918 [0.774347,0.533333] precision 0.759196668607465 [0.812652,0.630769] precision 0.7357931296033853 [0.793349,0.596639] precision 0.7306716040999978 [0.79562,0.573643] precision 0.7468138387033987 [0.801435,0.614754] precision 0.7205954906565817 [0.779582,0.577982] precision 0.7353552878179384 [0.795181,0.592] precision 0.7328104575163398 [0.788235,0.6] predictive_accuracy 0.7467652495378928 predictive_accuracy 0.7634011090573013 predictive_accuracy 0.7208872458410351 predictive_accuracy 0.7689463955637709 predictive_accuracy 0.75 predictive_accuracy 0.7425925925925925 predictive_accuracy 0.7592592592592592 predictive_accuracy 0.7388888888888888 predictive_accuracy 0.7481481481481481 predictive_accuracy 0.7481481481481481 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.7717166268663785 relative_absolute_error 0.7531554978615592 relative_absolute_error 0.7760158169026541 relative_absolute_error 0.7376853369894077 relative_absolute_error 0.7716841681359312 relative_absolute_error 0.779427995127448 relative_absolute_error 0.7199452160177426 relative_absolute_error 0.7425920600549456 relative_absolute_error 0.760247500210744 relative_absolute_error 0.733730668855277 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.40438516268206665 root_mean_squared_error 0.39203796248682155 root_mean_squared_error 0.41132494327940633 root_mean_squared_error 0.3929292475371032 root_mean_squared_error 0.4011305252639787 root_mean_squared_error 0.40351721801803114 root_mean_squared_error 0.37607444389884204 root_mean_squared_error 0.3987976213066927 root_mean_squared_error 0.40057237834197984 root_mean_squared_error 0.3918417192447101 root_relative_squared_error 0.8876916092500289 root_relative_squared_error 0.8605874842164735 root_relative_squared_error 0.902925563348236 root_relative_squared_error 0.8625440007596065 root_relative_squared_error 0.8816947600423224 root_relative_squared_error 0.8869407694146938 root_relative_squared_error 0.8266208769657435 root_relative_squared_error 0.8765669797681401 root_relative_squared_error 0.8788462343084626 root_relative_squared_error 0.8596913766958992 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 0.6646415752905923 [0.863874,0.465409] unweighted_recall 0.6984507227765155 [0.856021,0.540881] unweighted_recall 0.6279594323158484 [0.853403,0.402516] unweighted_recall 0.6950344100892357 [0.874346,0.515723] unweighted_recall 0.6618563191729074 [0.874346,0.449367] unweighted_recall 0.6621876863940619 [0.856021,0.468354] unweighted_recall 0.6758234475445688 [0.876963,0.474684] unweighted_recall 0.6391576645238253 [0.879581,0.398734] unweighted_recall 0.6657752686574556 [0.866142,0.465409] unweighted_recall 0.6566136780072303 [0.879265,0.433962] usercpu_time_millis 32.741999999416294 usercpu_time_millis 33.714000001054956 usercpu_time_millis 38.94200000286219 usercpu_time_millis 38.53799999706098 usercpu_time_millis 40.18799999903422 usercpu_time_millis 37.32200000376906 usercpu_time_millis 36.98600000279839 usercpu_time_millis 39.388000001054024 usercpu_time_millis 36.96800000034273 usercpu_time_millis 34.74600000117789 usercpu_time_millis_testing 1.808000000892207 usercpu_time_millis_testing 1.194000000396045 usercpu_time_millis_testing 1.3140000010025688 usercpu_time_millis_testing 1.2659999993047677 usercpu_time_millis_testing 1.6179999984160531 usercpu_time_millis_testing 1.5980000025592744 usercpu_time_millis_testing 1.2139999998908024 usercpu_time_millis_testing 1.7520000001240987 usercpu_time_millis_testing 1.2139999998908024 usercpu_time_millis_testing 1.5080000011948869 usercpu_time_millis_training 30.933999998524087 usercpu_time_millis_training 32.52000000065891 usercpu_time_millis_training 37.62800000185962 usercpu_time_millis_training 37.27199999775621 usercpu_time_millis_training 38.570000000618165 usercpu_time_millis_training 35.72400000120979 usercpu_time_millis_training 35.77200000290759 usercpu_time_millis_training 37.636000000929926 usercpu_time_millis_training 35.754000000451924 usercpu_time_millis_training 33.237999999983 wall_clock_time_millis 12.67099380493164 wall_clock_time_millis 8.857250213623047 wall_clock_time_millis 10.881900787353516 wall_clock_time_millis 10.733842849731445 wall_clock_time_millis 11.22903823852539 wall_clock_time_millis 10.639667510986328 wall_clock_time_millis 10.829925537109375 wall_clock_time_millis 11.137247085571289 wall_clock_time_millis 10.710716247558594 wall_clock_time_millis 9.39488410949707 wall_clock_time_millis_testing 0.5049705505371094 wall_clock_time_millis_testing 0.2970695495605469 wall_clock_time_millis_testing 0.33092498779296875 wall_clock_time_millis_testing 0.3209114074707031 wall_clock_time_millis_testing 0.5109310150146484 wall_clock_time_millis_testing 0.4608631134033203 wall_clock_time_millis_testing 0.3077983856201172 wall_clock_time_millis_testing 0.4470348358154297 wall_clock_time_millis_testing 0.3077983856201172 wall_clock_time_millis_testing 0.6630420684814453 wall_clock_time_millis_training 12.166023254394531 wall_clock_time_millis_training 8.5601806640625 wall_clock_time_millis_training 10.550975799560547 wall_clock_time_millis_training 10.412931442260742 wall_clock_time_millis_training 10.718107223510742 wall_clock_time_millis_training 10.178804397583008 wall_clock_time_millis_training 10.522127151489258 wall_clock_time_millis_training 10.69021224975586 wall_clock_time_millis_training 10.402917861938477 wall_clock_time_millis_training 8.731842041015625 weighted_recall 0.7467652495378928 [0.863874,0.465409] weighted_recall 0.7634011090573013 [0.856021,0.540881] weighted_recall 0.7208872458410351 [0.853403,0.402516] weighted_recall 0.7689463955637708 [0.874346,0.515723] weighted_recall 0.75 [0.874346,0.449367] weighted_recall 0.7425925925925926 [0.856021,0.468354] weighted_recall 0.7592592592592593 [0.876963,0.474684] weighted_recall 0.7388888888888889 [0.879581,0.398734] weighted_recall 0.7481481481481481 [0.866142,0.465409] weighted_recall 0.7481481481481481 [0.879265,0.433962]