10558202 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) 8275909 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 "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 22041367 description https://api.openml.org/data/download/22041367/description.xml -1 22041368 predictions https://api.openml.org/data/download/22041368/predictions.arff area_under_roc_curve 0.8123275491350788 [0.812328,0.812328] average_cost 0 f_measure 0.7397640914306789 [0.830472,0.521401] kappa 0.3552743333366254 kb_relative_information_score 0.23726048590535698 mean_absolute_error 0.3121952020180653 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.7496299037749815 [0.867994,0.464691] number_of_instances 5404 [3818,1586] precision 0.7367221139478003 [0.796061,0.593876] predictive_accuracy 0.7496299037749814 prior_entropy 0.8731822780289229 relative_absolute_error 0.7527569204975673 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.39746061729322163 root_relative_squared_error 0.8728505369666629 total_cost 0 unweighted_recall 0.6663423803223201 [0.867994,0.464691] area_under_roc_curve 0.7914649807369357 [0.791465,0.791465] area_under_roc_curve 0.8264019230135994 [0.826402,0.826402] area_under_roc_curve 0.781784056109849 [0.781784,0.781784] area_under_roc_curve 0.8217919589054629 [0.821792,0.821792] area_under_roc_curve 0.8042613824640467 [0.804261,0.804261] area_under_roc_curve 0.7965405262111472 [0.796541,0.796541] area_under_roc_curve 0.8537013718602956 [0.853701,0.853701] area_under_roc_curve 0.8133905494068526 [0.813391,0.813391] area_under_roc_curve 0.810412849337229 [0.810413,0.810413] area_under_roc_curve 0.8281582726687466 [0.828158,0.828158] 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 0.7418505262572045 [0.830189,0.529617] 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 0.7407709077957916 [0.832918,0.517986] f_measure 0.7342943815554772 [0.824716,0.515679] f_measure 0.7514659239430861 [0.838548,0.540925] f_measure 0.7251863288919388 [0.827586,0.477612] f_measure 0.738451254708598 [0.829146,0.521127] f_measure 0.7348008347772887 [0.831266,0.50365] kappa 0.36249050740640504 kappa 0.41046466091161404 kappa 0.2756541554722068 kappa 0.4120025389317357 kappa 0.35508021390374334 kappa 0.34282412271485596 kappa 0.3828407399532212 kappa 0.31247726445980345 kappa 0.35357803010298383 kappa 0.3406948559116616 kb_relative_information_score 0.21708986083534454 kb_relative_information_score 0.24430070192248415 kb_relative_information_score 0.20825625131977776 kb_relative_information_score 0.25635725210119953 kb_relative_information_score 0.222876527730701 kb_relative_information_score 0.207527566436917 kb_relative_information_score 0.2822497303760643 kb_relative_information_score 0.2451743520463609 kb_relative_information_score 0.22652542843508758 kb_relative_information_score 0.2622952244664465 mean_absolute_error 0.3194669967273003 mean_absolute_error 0.31170561756662946 mean_absolute_error 0.32128049461189756 mean_absolute_error 0.3052307212122203 mean_absolute_error 0.31902409630271983 mean_absolute_error 0.3222826481311941 mean_absolute_error 0.2974143152472527 mean_absolute_error 0.30691309354044005 mean_absolute_error 0.3148592989202492 mean_absolute_error 0.3037582508428957 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 0.7386992129631702 [0.799031,0.59375] precision 0.7564948676603611 [0.8175,0.609929] precision 0.7035128929008918 [0.774347,0.533333] precision 0.759196668607465 [0.812652,0.630769] precision 0.7381128747795415 [0.795238,0.6] precision 0.7306716040999978 [0.79562,0.573643] precision 0.7490898338239977 [0.803357,0.617886] precision 0.7230005481168272 [0.781395,0.581818] precision 0.7353552878179384 [0.795181,0.592] precision 0.7328104575163398 [0.788235,0.6] predictive_accuracy 0.7504621072088724 predictive_accuracy 0.7634011090573013 predictive_accuracy 0.7208872458410351 predictive_accuracy 0.7689463955637709 predictive_accuracy 0.7518518518518519 predictive_accuracy 0.7425925925925925 predictive_accuracy 0.7611111111111112 predictive_accuracy 0.7407407407407408 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 0.7699732368406839 relative_absolute_error 0.7512669094393882 relative_absolute_error 0.774344094708669 relative_absolute_error 0.7356612382580612 relative_absolute_error 0.7699075613579227 relative_absolute_error 0.7777714930198072 relative_absolute_error 0.7177562222374254 relative_absolute_error 0.7406798236717447 relative_absolute_error 0.7584570760016344 relative_absolute_error 0.7317160253349501 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 0.4045152504188896 root_mean_squared_error 0.3920960814457711 root_mean_squared_error 0.4115434808009759 root_mean_squared_error 0.39297231020320406 root_mean_squared_error 0.40125195858164314 root_mean_squared_error 0.40371826576198816 root_mean_squared_error 0.3759616986516385 root_mean_squared_error 0.39890659032779474 root_mean_squared_error 0.400697684479437 root_mean_squared_error 0.39184332279662587 root_relative_squared_error 0.8879771731210626 root_relative_squared_error 0.860715064842468 root_relative_squared_error 0.9034052889714931 root_relative_squared_error 0.8626385303588532 root_relative_squared_error 0.8819616734611125 root_relative_squared_error 0.8873826773005336 root_relative_squared_error 0.8263730601395031 root_relative_squared_error 0.8768064963565358 root_relative_squared_error 0.8791211529823257 root_relative_squared_error 0.8596948948505172 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 0.6709308834666929 [0.863874,0.477987] 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 0.6650208761349328 [0.874346,0.455696] unweighted_recall 0.6621876863940619 [0.856021,0.468354] unweighted_recall 0.6789880045065941 [0.876963,0.481013] unweighted_recall 0.6423222214858506 [0.879581,0.405063] unweighted_recall 0.6657752686574556 [0.866142,0.465409] unweighted_recall 0.6566136780072303 [0.879265,0.433962] usercpu_time_millis 31.067999996594153 usercpu_time_millis 34.84000000025844 usercpu_time_millis 34.51800000038929 usercpu_time_millis 37.32999999920139 usercpu_time_millis 41.761999997106614 usercpu_time_millis 35.96999999717809 usercpu_time_millis 33.08800000013434 usercpu_time_millis 37.9220000031637 usercpu_time_millis 36.94200000245473 usercpu_time_millis 36.147999999229796 usercpu_time_millis_testing 2.0679999979620334 usercpu_time_millis_testing 1.6880000002856832 usercpu_time_millis_testing 1.2800000004062895 usercpu_time_millis_testing 1.2419999984558672 usercpu_time_millis_testing 1.759999999194406 usercpu_time_millis_testing 1.2179999976069666 usercpu_time_millis_testing 1.476000001275679 usercpu_time_millis_testing 1.66200000239769 usercpu_time_millis_testing 1.242000002093846 usercpu_time_millis_testing 1.3119999966875184 usercpu_time_millis_training 28.99999999863212 usercpu_time_millis_training 33.15199999997276 usercpu_time_millis_training 33.237999999983 usercpu_time_millis_training 36.088000000745524 usercpu_time_millis_training 40.00199999791221 usercpu_time_millis_training 34.751999999571126 usercpu_time_millis_training 31.611999998858664 usercpu_time_millis_training 36.26000000076601 usercpu_time_millis_training 35.70000000036089 usercpu_time_millis_training 34.83600000254228 wall_clock_time_millis 11.989355087280273 wall_clock_time_millis 9.330034255981445 wall_clock_time_millis 10.298013687133789 wall_clock_time_millis 10.550737380981445 wall_clock_time_millis 11.227130889892578 wall_clock_time_millis 9.948015213012695 wall_clock_time_millis 8.681774139404297 wall_clock_time_millis 9.943246841430664 wall_clock_time_millis 10.618925094604492 wall_clock_time_millis 9.521961212158203 wall_clock_time_millis_testing 0.5323886871337891 wall_clock_time_millis_testing 0.45990943908691406 wall_clock_time_millis_testing 0.3230571746826172 wall_clock_time_millis_testing 0.308990478515625 wall_clock_time_millis_testing 0.4589557647705078 wall_clock_time_millis_testing 0.30994415283203125 wall_clock_time_millis_testing 0.5037784576416016 wall_clock_time_millis_testing 0.4680156707763672 wall_clock_time_millis_testing 0.30803680419921875 wall_clock_time_millis_testing 0.3268718719482422 wall_clock_time_millis_training 11.456966400146484 wall_clock_time_millis_training 8.870124816894531 wall_clock_time_millis_training 9.974956512451172 wall_clock_time_millis_training 10.24174690246582 wall_clock_time_millis_training 10.76817512512207 wall_clock_time_millis_training 9.638071060180664 wall_clock_time_millis_training 8.177995681762695 wall_clock_time_millis_training 9.475231170654297 wall_clock_time_millis_training 10.310888290405273 wall_clock_time_millis_training 9.195089340209961 weighted_recall 0.7504621072088724 [0.863874,0.477987] 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 0.7518518518518519 [0.874346,0.455696] weighted_recall 0.7425925925925926 [0.856021,0.468354] weighted_recall 0.7611111111111111 [0.876963,0.481013] weighted_recall 0.7407407407407407 [0.879581,0.405063] weighted_recall 0.7481481481481481 [0.866142,0.465409] weighted_recall 0.7481481481481481 [0.879265,0.433962]