10558199 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) 8275575 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 0.01 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 22041361 description https://api.openml.org/data/download/22041361/description.xml -1 22041362 predictions https://api.openml.org/data/download/22041362/predictions.arff area_under_roc_curve 0.8127146449716846 [0.812715,0.812715] average_cost 0 f_measure 0.7301712213328645 [0.82821,0.494161] kappa 0.3280435280329057 kb_relative_information_score 0.22253362007481617 mean_absolute_error 0.3198807181681259 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.7435233160621761 [0.875065,0.42686] number_of_instances 5404 [3818,1586] precision 0.7275781245625647 [0.786118,0.586655] predictive_accuracy 0.7435233160621761 prior_entropy 0.8731822780289229 relative_absolute_error 0.771288036389666 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3970624017207829 root_relative_squared_error 0.8719760284968712 total_cost 0 unweighted_recall 0.6509627522646098 [0.875065,0.42686] area_under_roc_curve 0.7915966939971681 [0.791597,0.791597] area_under_roc_curve 0.8267970627942968 [0.826797,0.826797] area_under_roc_curve 0.7822285883631335 [0.782229,0.782229] area_under_roc_curve 0.8221870986861602 [0.822187,0.822187] area_under_roc_curve 0.8049738219895288 [0.804974,0.804974] area_under_roc_curve 0.7973192391808601 [0.797319,0.797319] area_under_roc_curve 0.8539333289151038 [0.853933,0.853933] area_under_roc_curve 0.8140201471270461 [0.81402,0.81402] area_under_roc_curve 0.8102807903729013 [0.810281,0.810281] area_under_roc_curve 0.827679558923059 [0.82768,0.82768] 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 0.7383491931044655 [0.832298,0.512635] f_measure 0.7342016529611215 [0.825157,0.515679] f_measure 0.6960330338964323 [0.809348,0.423792] f_measure 0.7506774466064108 [0.839352,0.537634] f_measure 0.7283801729653061 [0.828183,0.487085] f_measure 0.7336118773523604 [0.825157,0.512281] f_measure 0.7516828097836101 [0.840796,0.536232] f_measure 0.7127671212206944 [0.824818,0.44186] f_measure 0.7293428696906958 [0.827329,0.494545] f_measure 0.7243416334038149 [0.829865,0.471483] kappa 0.34983486597883057 kappa 0.34360133725548375 kappa 0.24146758451003636 kappa 0.38118798712526264 kappa 0.321534456576759 kappa 0.34023627030447934 kappa 0.3814875796406329 kappa 0.27812848124767914 kappa 0.3274916675626276 kappa 0.31104747218856693 kb_relative_information_score 0.20356803767857073 kb_relative_information_score 0.2289862541949984 kb_relative_information_score 0.19585333645266953 kb_relative_information_score 0.2401687900168199 kb_relative_information_score 0.20877474818194677 kb_relative_information_score 0.1951954007840324 kb_relative_information_score 0.2644955290540605 kb_relative_information_score 0.22991343091380853 kb_relative_information_score 0.2127811041330218 kb_relative_information_score 0.24564458146631868 mean_absolute_error 0.32667171254720184 mean_absolute_error 0.31949021296973873 mean_absolute_error 0.3281995184363937 mean_absolute_error 0.31354222627549005 mean_absolute_error 0.32633699976957464 mean_absolute_error 0.3291243233586436 mean_absolute_error 0.30639348855765175 mean_absolute_error 0.31475912555482294 mean_absolute_error 0.3222463494798488 mean_absolute_error 0.3120277047364118 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 0.7360425921494398 [0.791962,0.601695] precision 0.7306876530100745 [0.794189,0.578125] precision 0.6912887186579026 [0.763341,0.518182] precision 0.7489029069946127 [0.800475,0.625] precision 0.7258865485036963 [0.784543,0.584071] precision 0.7299982276226771 [0.794189,0.574803] precision 0.7500867242051273 [0.800948,0.627119] precision 0.7118030303030303 [0.770455,0.57] precision 0.7267327224752403 [0.785377,0.586207] precision 0.724119814945503 [0.777523,0.596154] predictive_accuracy 0.7504621072088724 predictive_accuracy 0.7430683918669131 predictive_accuracy 0.7134935304990758 predictive_accuracy 0.7615526802218114 predictive_accuracy 0.7425925925925925 predictive_accuracy 0.7425925925925925 predictive_accuracy 0.762962962962963 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7425925925925925 predictive_accuracy 0.7425925925925925 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 0.7873379049196915 relative_absolute_error 0.7700291921835541 relative_absolute_error 0.7910201934121376 relative_absolute_error 0.755693468573377 relative_absolute_error 0.7875559451002893 relative_absolute_error 0.7942826517410916 relative_absolute_error 0.7394258500383915 relative_absolute_error 0.7596148177506801 relative_absolute_error 0.7762515663880507 relative_absolute_error 0.7516361161238048 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 0.40373782653793816 root_mean_squared_error 0.39201919386210493 root_mean_squared_error 0.40995943349448893 root_mean_squared_error 0.3930426003934626 root_mean_squared_error 0.4005675313064154 root_mean_squared_error 0.40231849554935906 root_mean_squared_error 0.3775401212921412 root_mean_squared_error 0.3983152250152079 root_mean_squared_error 0.39996211193229264 root_mean_squared_error 0.39225159070648813 root_relative_squared_error 0.8862706004778578 root_relative_squared_error 0.8605462840137568 root_relative_squared_error 0.8999280459062495 root_relative_squared_error 0.8627928288293789 root_relative_squared_error 0.8804572854771735 root_relative_squared_error 0.8843059479468495 root_relative_squared_error 0.8298424719234794 root_relative_squared_error 0.8755066608552723 root_relative_squared_error 0.8775073243758844 root_relative_squared_error 0.8605906248972484 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 0.6617521156442425 [0.876963,0.446541] unweighted_recall 0.662023774243472 [0.858639,0.465409] unweighted_recall 0.6098735552701768 [0.861257,0.358491] unweighted_recall 0.6769485330435642 [0.882199,0.471698] unweighted_recall 0.647342434886341 [0.876963,0.417722] unweighted_recall 0.6603320299555968 [0.858639,0.462025] unweighted_recall 0.6765855921532242 [0.884817,0.468354] unweighted_recall 0.624097024322354 [0.887435,0.360759] unweighted_recall 0.6508443520031695 [0.874016,0.427673] unweighted_recall 0.6398504432228991 [0.889764,0.389937] usercpu_time_millis 28.394000000844244 usercpu_time_millis 30.746000000362983 usercpu_time_millis 35.55199999755132 usercpu_time_millis 32.33199999522185 usercpu_time_millis 40.57200000170269 usercpu_time_millis 33.2879999987199 usercpu_time_millis 33.71999999944819 usercpu_time_millis 33.41999999975087 usercpu_time_millis 33.501999994768994 usercpu_time_millis 42.62200000448502 usercpu_time_millis_testing 1.4200000005075708 usercpu_time_millis_testing 1.2019999994663522 usercpu_time_millis_testing 1.251999998203246 usercpu_time_millis_testing 1.3919999983045273 usercpu_time_millis_testing 1.8899999995483086 usercpu_time_millis_testing 1.4579999988200143 usercpu_time_millis_testing 1.1840000006486662 usercpu_time_millis_testing 1.2700000006589107 usercpu_time_millis_testing 1.945999996678438 usercpu_time_millis_testing 2.0180000028631184 usercpu_time_millis_training 26.974000000336673 usercpu_time_millis_training 29.54400000089663 usercpu_time_millis_training 34.299999999348074 usercpu_time_millis_training 30.939999996917322 usercpu_time_millis_training 38.68200000215438 usercpu_time_millis_training 31.829999999899883 usercpu_time_millis_training 32.535999998799525 usercpu_time_millis_training 32.14999999909196 usercpu_time_millis_training 31.555999998090556 usercpu_time_millis_training 40.6040000016219 wall_clock_time_millis 10.799169540405273 wall_clock_time_millis 7.883787155151367 wall_clock_time_millis 9.351968765258789 wall_clock_time_millis 8.414030075073242 wall_clock_time_millis 13.86117935180664 wall_clock_time_millis 8.797883987426758 wall_clock_time_millis 9.43303108215332 wall_clock_time_millis 9.135007858276367 wall_clock_time_millis 8.761405944824219 wall_clock_time_millis 11.490821838378906 wall_clock_time_millis_testing 0.3771781921386719 wall_clock_time_millis_testing 0.30303001403808594 wall_clock_time_millis_testing 0.31495094299316406 wall_clock_time_millis_testing 0.3609657287597656 wall_clock_time_millis_testing 2.496004104614258 wall_clock_time_millis_testing 0.37288665771484375 wall_clock_time_millis_testing 0.9589195251464844 wall_clock_time_millis_testing 0.3230571746826172 wall_clock_time_millis_testing 0.5335807800292969 wall_clock_time_millis_testing 0.5068778991699219 wall_clock_time_millis_training 10.421991348266602 wall_clock_time_millis_training 7.580757141113281 wall_clock_time_millis_training 9.037017822265625 wall_clock_time_millis_training 8.053064346313477 wall_clock_time_millis_training 11.365175247192383 wall_clock_time_millis_training 8.424997329711914 wall_clock_time_millis_training 8.474111557006836 wall_clock_time_millis_training 8.81195068359375 wall_clock_time_millis_training 8.227825164794922 wall_clock_time_millis_training 10.983943939208984 weighted_recall 0.7504621072088724 [0.876963,0.446541] weighted_recall 0.7430683918669131 [0.858639,0.465409] weighted_recall 0.7134935304990758 [0.861257,0.358491] weighted_recall 0.7615526802218114 [0.882199,0.471698] weighted_recall 0.7425925925925926 [0.876963,0.417722] weighted_recall 0.7425925925925926 [0.858639,0.462025] weighted_recall 0.762962962962963 [0.884817,0.468354] weighted_recall 0.7333333333333333 [0.887435,0.360759] weighted_recall 0.7425925925925926 [0.874016,0.427673] weighted_recall 0.7425925925925926 [0.889764,0.389937]