10551556 8323 Heinrich Peters 9952 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22028067 description https://api.openml.org/data/download/22028067/description.xml -1 22028068 predictions https://api.openml.org/data/download/22028068/predictions.arff area_under_roc_curve 0.8123356411555538 [0.812336,0.812336] average_cost 0 f_measure 0.739991064939099 [0.830576,0.521924] kappa 0.35587762129009815 kb_relative_information_score 0.23707987888212925 mean_absolute_error 0.31229103246786516 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 0.7529879843762397 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3974439242019042 root_relative_squared_error 0.8728138778032489 total_cost 0 unweighted_recall 0.6666576388342998 [0.867994,0.465322] area_under_roc_curve 0.7915308373670519 [0.791531,0.791531] area_under_roc_curve 0.8264183871711285 [0.826418,0.826418] area_under_roc_curve 0.7817511277947907 [0.781751,0.781751] area_under_roc_curve 0.82184135137805 [0.821841,0.821841] area_under_roc_curve 0.8042779508251043 [0.804278,0.804278] area_under_roc_curve 0.7965073894890318 [0.796507,0.796507] area_under_roc_curve 0.8538007820266419 [0.853801,0.853801] area_under_roc_curve 0.8134071177679103 [0.813407,0.813407] area_under_roc_curve 0.810412849337229 [0.810413,0.810413] area_under_roc_curve 0.8281087505571237 [0.828109,0.828109] 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 0.21687967982571227 kb_relative_information_score 0.24412633759844254 kb_relative_information_score 0.20808840209278184 kb_relative_information_score 0.25616621912284854 kb_relative_information_score 0.2226738874434666 kb_relative_information_score 0.20731550936506055 kb_relative_information_score 0.2820860572781495 kb_relative_information_score 0.24502540022309055 kb_relative_information_score 0.2263454648643134 kb_relative_information_score 0.2621398767903753 mean_absolute_error 0.31956820900897803 mean_absolute_error 0.31180227484949874 mean_absolute_error 0.3213743398681955 mean_absolute_error 0.30532826439611493 mean_absolute_error 0.3191241756136716 mean_absolute_error 0.3223828686913241 mean_absolute_error 0.29751285161405117 mean_absolute_error 0.30700185852448253 mean_absolute_error 0.3149517566672962 mean_absolute_error 0.30384722737421704 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 0.7702171767434902 relative_absolute_error 0.751499870971307 relative_absolute_error 0.7745702787480038 relative_absolute_error 0.7358963349716637 relative_absolute_error 0.770149084863922 relative_absolute_error 0.7780133574054189 relative_absolute_error 0.7179940221238481 relative_absolute_error 0.7408940420746495 relative_absolute_error 0.7586797952693182 relative_absolute_error 0.7319303587848757 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 0.40450217772319136 root_mean_squared_error 0.3920853032938553 root_mean_squared_error 0.41151995458046037 root_mean_squared_error 0.39295574486262985 root_mean_squared_error 0.40123957209465083 root_mean_squared_error 0.40371565830959644 root_mean_squared_error 0.37595301123206715 root_mean_squared_error 0.3988755452634802 root_mean_squared_error 0.4006782741708527 root_mean_squared_error 0.391814755901834 root_relative_squared_error 0.8879484764146734 root_relative_squared_error 0.8606914050351808 root_relative_squared_error 0.903353645067423 root_relative_squared_error 0.8626021667253941 root_relative_squared_error 0.8819344476580668 root_relative_squared_error 0.8873769460560483 root_relative_squared_error 0.8263539649776247 root_relative_squared_error 0.8767382585416418 root_relative_squared_error 0.8790785672287181 root_relative_squared_error 0.8596322197653863 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 23.65358598763123 usercpu_time_millis 15.76753705739975 usercpu_time_millis 15.706852951552719 usercpu_time_millis 15.770055004395545 usercpu_time_millis 15.815549995750189 usercpu_time_millis 15.754280029796064 usercpu_time_millis 15.547749935649335 usercpu_time_millis 14.018954010680318 usercpu_time_millis 13.855576980859041 usercpu_time_millis 14.017132052686065 usercpu_time_millis_testing 1.1111519997939467 usercpu_time_millis_testing 0.760649039875716 usercpu_time_millis_testing 0.7250519702211022 usercpu_time_millis_testing 0.7411299739032984 usercpu_time_millis_testing 0.7192349876277149 usercpu_time_millis_testing 0.7216730155050755 usercpu_time_millis_testing 0.6499989540316164 usercpu_time_millis_testing 0.6727880099788308 usercpu_time_millis_testing 0.6593639845959842 usercpu_time_millis_testing 0.6443990278057754 usercpu_time_millis_training 22.542433987837285 usercpu_time_millis_training 15.006888017524034 usercpu_time_millis_training 14.981800981331617 usercpu_time_millis_training 15.028925030492246 usercpu_time_millis_training 15.096315008122474 usercpu_time_millis_training 15.032607014290988 usercpu_time_millis_training 14.897750981617719 usercpu_time_millis_training 13.346166000701487 usercpu_time_millis_training 13.196212996263057 usercpu_time_millis_training 13.37273302488029 wall_clock_time_millis 23.679733276367188 wall_clock_time_millis 15.775442123413086 wall_clock_time_millis 15.711545944213867 wall_clock_time_millis 15.777349472045898 wall_clock_time_millis 15.822410583496094 wall_clock_time_millis 15.760183334350586 wall_clock_time_millis 15.555381774902344 wall_clock_time_millis 14.027595520019531 wall_clock_time_millis 13.858795166015625 wall_clock_time_millis 14.023780822753906 wall_clock_time_millis_testing 1.1162757873535156 wall_clock_time_millis_testing 0.7634162902832031 wall_clock_time_millis_testing 0.7293224334716797 wall_clock_time_millis_testing 0.7441043853759766 wall_clock_time_millis_testing 0.7224082946777344 wall_clock_time_millis_testing 0.7262229919433594 wall_clock_time_millis_testing 0.6535053253173828 wall_clock_time_millis_testing 0.6763935089111328 wall_clock_time_millis_testing 0.6623268127441406 wall_clock_time_millis_testing 0.6468296051025391 wall_clock_time_millis_training 22.563457489013672 wall_clock_time_millis_training 15.012025833129883 wall_clock_time_millis_training 14.982223510742188 wall_clock_time_millis_training 15.033245086669922 wall_clock_time_millis_training 15.10000228881836 wall_clock_time_millis_training 15.033960342407227 wall_clock_time_millis_training 14.901876449584961 wall_clock_time_millis_training 13.351202011108398 wall_clock_time_millis_training 13.196468353271484 wall_clock_time_millis_training 13.376951217651367 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]