10558208 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) 8275915 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 0.165918932915 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 57 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 22041379 description https://api.openml.org/data/download/22041379/description.xml -1 22041380 predictions https://api.openml.org/data/download/22041380/predictions.arff area_under_roc_curve 0.8124061573339798 [0.812406,0.812406] average_cost 0 f_measure 0.739991064939099 [0.830576,0.521924] kappa 0.35587762129009815 kb_relative_information_score 0.23536613015684668 mean_absolute_error 0.31319782350837744 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.7498149518874907 [0.867994,0.465322] number_of_instances 5404 [3818,1586] precision 0.736953215619387 [0.796252,0.594203] predictive_accuracy 0.7498149518874908 prior_entropy 0.8731822780289229 relative_absolute_error 0.7551744152591569 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.39731635570151114 root_relative_squared_error 0.8725337287036312 total_cost 0 unweighted_recall 0.6666576388342998 [0.867994,0.465322] area_under_roc_curve 0.7914155882643485 [0.791416,0.791416] area_under_roc_curve 0.8265171721163028 [0.826517,0.826517] area_under_roc_curve 0.781784056109849 [0.781784,0.781784] area_under_roc_curve 0.8217754947479338 [0.821775,0.821775] area_under_roc_curve 0.8045099078799125 [0.80451,0.80451] area_under_roc_curve 0.7965902312943204 [0.79659,0.79659] area_under_roc_curve 0.8539498972761614 [0.85395,0.85395] area_under_roc_curve 0.8134733912121412 [0.813473,0.813473] area_under_roc_curve 0.8103468198550653 [0.810347,0.810347] area_under_roc_curve 0.8282738242625334 [0.828274,0.828274] 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 0.7371315640880858 [0.832298,0.509091] 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 0.34684442533060955 kb_relative_information_score 0.21509211075263168 kb_relative_information_score 0.2424002013943767 kb_relative_information_score 0.20656577426701322 kb_relative_information_score 0.2543193872270157 kb_relative_information_score 0.22086141652547503 kb_relative_information_score 0.20558536670326358 kb_relative_information_score 0.2803116386340811 kb_relative_information_score 0.24342987782079878 kb_relative_information_score 0.22470532815335928 kb_relative_information_score 0.26043812134628636 mean_absolute_error 0.3204725751726425 mean_absolute_error 0.3127189087801926 mean_absolute_error 0.3222304879638315 mean_absolute_error 0.3062809781431538 mean_absolute_error 0.3200316291802369 mean_absolute_error 0.3232634816054453 mean_absolute_error 0.29850525288535085 mean_absolute_error 0.30788512972214943 mean_absolute_error 0.3158210847777926 mean_absolute_error 0.3047522037862635 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 0.7351374430709173 [0.790094,0.603448] 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 0.75 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 0.7723968627500554 relative_absolute_error 0.753709124515005 relative_absolute_error 0.7766337504905154 relative_absolute_error 0.7381925473976889 relative_absolute_error 0.7723390616417791 relative_absolute_error 0.7801385590722173 relative_absolute_error 0.7203890049841704 relative_absolute_error 0.7430256590330379 relative_absolute_error 0.7607738990770642 relative_absolute_error 0.7341103349383036 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 0.40437127141823753 root_mean_squared_error 0.39200654041244976 root_mean_squared_error 0.4112869645279425 root_mean_squared_error 0.3928546378243473 root_mean_squared_error 0.4011177671137598 root_mean_squared_error 0.403596612313328 root_mean_squared_error 0.37597946107041685 root_mean_squared_error 0.39866692313140994 root_mean_squared_error 0.4005180508687013 root_mean_squared_error 0.3916790864509853 root_relative_squared_error 0.8876611156526347 root_relative_squared_error 0.8605185076210414 root_relative_squared_error 0.9028421937735943 root_relative_squared_error 0.8623802202303145 root_relative_squared_error 0.881666717314364 root_relative_squared_error 0.887115280028401 root_relative_squared_error 0.8264121023728318 root_relative_squared_error 0.8762797019644425 root_relative_squared_error 0.8787270411291727 root_relative_squared_error 0.859334564229369 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 0.6597583320952806 [0.879265,0.440252] usercpu_time_millis 15.373999998701038 usercpu_time_millis 21.926000001258217 usercpu_time_millis 18.101999998179963 usercpu_time_millis 22.116000000096392 usercpu_time_millis 18.064000003505498 usercpu_time_millis 18.573999997897772 usercpu_time_millis 16.041999999288237 usercpu_time_millis 17.76600000084727 usercpu_time_millis 21.89600000201608 usercpu_time_millis 21.863999994820915 usercpu_time_millis_testing 0.7699999987380579 usercpu_time_millis_testing 1.2439999991329387 usercpu_time_millis_testing 0.7799999984854367 usercpu_time_millis_testing 1.3020000005781185 usercpu_time_millis_testing 0.9080000018002465 usercpu_time_millis_testing 0.8039999993343372 usercpu_time_millis_testing 0.8740000012039673 usercpu_time_millis_testing 0.8239999988290947 usercpu_time_millis_testing 1.1660000018309802 usercpu_time_millis_testing 0.9399999980814755 usercpu_time_millis_training 14.60399999996298 usercpu_time_millis_training 20.682000002125278 usercpu_time_millis_training 17.321999999694526 usercpu_time_millis_training 20.813999999518273 usercpu_time_millis_training 17.15600000170525 usercpu_time_millis_training 17.769999998563435 usercpu_time_millis_training 15.16799999808427 usercpu_time_millis_training 16.942000002018176 usercpu_time_millis_training 20.7300000001851 usercpu_time_millis_training 20.92399999673944 wall_clock_time_millis 8.045196533203125 wall_clock_time_millis 12.046337127685547 wall_clock_time_millis 10.019779205322266 wall_clock_time_millis 12.139081954956055 wall_clock_time_millis 10.528087615966797 wall_clock_time_millis 9.64212417602539 wall_clock_time_millis 8.872032165527344 wall_clock_time_millis 10.071754455566406 wall_clock_time_millis 22.016525268554688 wall_clock_time_millis 12.485027313232422 wall_clock_time_millis_testing 0.3879070281982422 wall_clock_time_millis_testing 0.7503032684326172 wall_clock_time_millis_testing 0.39505958557128906 wall_clock_time_millis_testing 0.6580352783203125 wall_clock_time_millis_testing 0.4858970642089844 wall_clock_time_millis_testing 0.41413307189941406 wall_clock_time_millis_testing 0.6170272827148438 wall_clock_time_millis_testing 0.4398822784423828 wall_clock_time_millis_testing 1.7421245574951172 wall_clock_time_millis_testing 0.4811286926269531 wall_clock_time_millis_training 7.657289505004883 wall_clock_time_millis_training 11.29603385925293 wall_clock_time_millis_training 9.624719619750977 wall_clock_time_millis_training 11.481046676635742 wall_clock_time_millis_training 10.042190551757812 wall_clock_time_millis_training 9.227991104125977 wall_clock_time_millis_training 8.2550048828125 wall_clock_time_millis_training 9.631872177124023 wall_clock_time_millis_training 20.27440071105957 wall_clock_time_millis_training 12.003898620605469 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 0.75 [0.879265,0.440252]