10558203 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) 8275910 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 100000.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 67 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. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22041369 description https://api.openml.org/data/download/22041369/description.xml -1 22041370 predictions https://api.openml.org/data/download/22041370/predictions.arff area_under_roc_curve 0.8123224296935534 [0.812322,0.812322] average_cost 0 f_measure 0.7397640914306789 [0.830472,0.521401] kappa 0.3552743333366254 kb_relative_information_score 0.2374239887408655 mean_absolute_error 0.3121085181454785 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 0.7525479106070775 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3974712595126346 root_relative_squared_error 0.872873908004006 total_cost 0 unweighted_recall 0.6663423803223201 [0.867994,0.464691] area_under_roc_curve 0.7914979090519938 [0.791498,0.791498] area_under_roc_curve 0.8264183871711285 [0.826418,0.826418] area_under_roc_curve 0.7817675919523198 [0.781768,0.781768] area_under_roc_curve 0.8217919589054629 [0.821792,0.821792] area_under_roc_curve 0.8042613824640467 [0.804261,0.804261] area_under_roc_curve 0.7965736629332626 [0.796574,0.796574] area_under_roc_curve 0.8537179402213533 [0.853718,0.853718] area_under_roc_curve 0.8133905494068526 [0.813391,0.813391] area_under_roc_curve 0.810412849337229 [0.810413,0.810413] area_under_roc_curve 0.8281417652982056 [0.828142,0.828142] 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 0.21723904359761184 kb_relative_information_score 0.2444711854331416 kb_relative_information_score 0.20839164253655793 kb_relative_information_score 0.256538512473781 kb_relative_information_score 0.2230337441689539 kb_relative_information_score 0.20766371183537116 kb_relative_information_score 0.2824477561064016 kb_relative_information_score 0.24534522468690298 kb_relative_information_score 0.22667575675687665 kb_relative_information_score 0.2624813873498582 mean_absolute_error 0.3193861521354648 mean_absolute_error 0.3116177814657035 mean_absolute_error 0.32120210045379616 mean_absolute_error 0.3051363915726807 mean_absolute_error 0.31894147763184677 mean_absolute_error 0.3222055513455034 mean_absolute_error 0.2973130471995937 mean_absolute_error 0.3068241626891454 mean_absolute_error 0.3147768795533169 mean_absolute_error 0.3036651404576625 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 0.7697783867538383 relative_absolute_error 0.7510552085512394 relative_absolute_error 0.7741551506102767 relative_absolute_error 0.7354338867675148 relative_absolute_error 0.7697081759818596 relative_absolute_error 0.7775854337253915 relative_absolute_error 0.717511829928129 relative_absolute_error 0.7404652049779117 relative_absolute_error 0.7582585379490382 relative_absolute_error 0.731491733942663 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 0.4045301455622151 root_mean_squared_error 0.39210280704131256 root_mean_squared_error 0.4115687340029909 root_mean_squared_error 0.3929776033042434 root_mean_squared_error 0.4012657691876096 root_mean_squared_error 0.4037412955549101 root_mean_squared_error 0.3759492259736056 root_mean_squared_error 0.39891929292411366 root_mean_squared_error 0.400712177548986 root_mean_squared_error 0.3918436564858498 root_relative_squared_error 0.888009870398235 root_relative_squared_error 0.8607298286253174 root_relative_squared_error 0.9034607238825733 root_relative_squared_error 0.8626501495818445 root_relative_squared_error 0.8819920295126887 root_relative_squared_error 0.887433297351777 root_relative_squared_error 0.8263456448864305 root_relative_squared_error 0.8768344169756559 root_relative_squared_error 0.8791529504308904 root_relative_squared_error 0.8596956269567078 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 15.598000001773471 usercpu_time_millis 24.048000002949266 usercpu_time_millis 16.51799999672221 usercpu_time_millis 16.374000002542743 usercpu_time_millis 16.24200000151177 usercpu_time_millis 14.93800000025658 usercpu_time_millis 16.986000002361834 usercpu_time_millis 16.26600000236067 usercpu_time_millis 16.282000000501284 usercpu_time_millis 17.090000001189765 usercpu_time_millis_testing 0.6519999988086056 usercpu_time_millis_testing 1.2500000011641532 usercpu_time_millis_testing 0.7579999983136076 usercpu_time_millis_testing 0.8920000000216532 usercpu_time_millis_testing 0.9700000009615906 usercpu_time_millis_testing 0.7220000006782357 usercpu_time_millis_testing 1.3419999995676335 usercpu_time_millis_testing 0.8560000023862813 usercpu_time_millis_testing 0.7819999991625082 usercpu_time_millis_testing 0.7680000016989652 usercpu_time_millis_training 14.946000002964865 usercpu_time_millis_training 22.798000001785113 usercpu_time_millis_training 15.759999998408603 usercpu_time_millis_training 15.48200000252109 usercpu_time_millis_training 15.272000000550179 usercpu_time_millis_training 14.215999999578344 usercpu_time_millis_training 15.6440000027942 usercpu_time_millis_training 15.409999999974389 usercpu_time_millis_training 15.500000001338776 usercpu_time_millis_training 16.3219999994908 wall_clock_time_millis 8.034944534301758 wall_clock_time_millis 18.385887145996094 wall_clock_time_millis 8.558273315429688 wall_clock_time_millis 8.498191833496094 wall_clock_time_millis 8.465290069580078 wall_clock_time_millis 7.778167724609375 wall_clock_time_millis 8.842229843139648 wall_clock_time_millis 8.539915084838867 wall_clock_time_millis 8.414983749389648 wall_clock_time_millis 9.04989242553711 wall_clock_time_millis_testing 0.32806396484375 wall_clock_time_millis_testing 0.6990432739257812 wall_clock_time_millis_testing 0.3821849822998047 wall_clock_time_millis_testing 0.45990943908691406 wall_clock_time_millis_testing 0.5021095275878906 wall_clock_time_millis_testing 0.36406517028808594 wall_clock_time_millis_testing 0.6892681121826172 wall_clock_time_millis_testing 0.45609474182128906 wall_clock_time_millis_testing 0.3941059112548828 wall_clock_time_millis_testing 0.38695335388183594 wall_clock_time_millis_training 7.706880569458008 wall_clock_time_millis_training 17.686843872070312 wall_clock_time_millis_training 8.176088333129883 wall_clock_time_millis_training 8.03828239440918 wall_clock_time_millis_training 7.9631805419921875 wall_clock_time_millis_training 7.414102554321289 wall_clock_time_millis_training 8.152961730957031 wall_clock_time_millis_training 8.083820343017578 wall_clock_time_millis_training 8.020877838134766 wall_clock_time_millis_training 8.662939071655273 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]