10545201 8323 Heinrich Peters 146819 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. 40994 climate-model-simulation-crashes https://www.openml.org/data/download/18237248/phpJem85A -1 22015357 description https://api.openml.org/data/download/22015357/description.xml -1 22015358 predictions https://api.openml.org/data/download/22015358/predictions.arff area_under_roc_curve 0.9522091181130082 [0.952209,0.952209] average_cost 0 f_measure 0.9535772672362902 [0.701299,0.977069] kappa 0.6793017971493489 kb_relative_information_score 0.2200298020861549 mean_absolute_error 0.08601106820438308 mean_prior_absolute_error 0.15712723793904684 weighted_recall 0.9574074074074074 [0.586957,0.991903] number_of_instances 540 [46,494] precision 0.9548600695251307 [0.870968,0.962672] predictive_accuracy 0.9574074074074075 prior_entropy 0.420212492518953 relative_absolute_error 0.5473975698455839 root_mean_prior_squared_error 0.2791612659332496 root_mean_squared_error 0.1885989640512546 root_relative_squared_error 0.6755914486229283 total_cost 0 unweighted_recall 0.7894296778736138 [0.586957,0.991903] area_under_roc_curve 0.7799999999999999 [0.78,0.78] area_under_roc_curve 0.99 [0.99,0.99] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.975 [0.975,0.975] area_under_roc_curve 0.963265306122449 [0.963265,0.963265] area_under_roc_curve 0.963265306122449 [0.963265,0.963265] area_under_roc_curve 0.9877551020408163 [0.987755,0.987755] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9959183673469387 [0.995918,0.995918] area_under_roc_curve 0.9387755102040816 [0.938776,0.938776] 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 0.9472502805836138 [0.666667,0.969697] f_measure 0.9629629629629629 [0.75,0.98] f_measure 0.9571532316630355 [0.666667,0.980392] f_measure 0.9407512179789406 [0.571429,0.970297] f_measure 0.9587037037037036 [0.75,0.98] f_measure 0.9587037037037036 [0.75,0.98] f_measure 0.9587037037037036 [0.75,0.98] f_measure 1 [1,1] f_measure 0.9333647650479333 [0.571429,0.970297] f_measure 0.9026870007262163 [0.333333,0.960784] kappa 0.6367713004484302 kappa 0.7299999999999996 kappa 0.6493506493506489 kappa 0.5423728813559318 kappa 0.7313432835820891 kappa 0.7313432835820891 kappa 0.7313432835820891 kappa 1 kappa 0.5474860335195529 kappa 0.3121019108280258 kb_relative_information_score -0.3001297704237941 kb_relative_information_score 0.18444935202333404 kb_relative_information_score 0.12052029257839574 kb_relative_information_score 0.15104217020696611 kb_relative_information_score 0.014063409466086607 kb_relative_information_score 0.26685441310911745 kb_relative_information_score 0.34445429299234265 kb_relative_information_score 0.6342488833800036 kb_relative_information_score 0.52864354553655 kb_relative_information_score 0.15386462388522623 mean_absolute_error 0.11059928749095337 mean_absolute_error 0.07764704549744829 mean_absolute_error 0.08291732487294551 mean_absolute_error 0.09202772911093351 mean_absolute_error 0.10861565725856087 mean_absolute_error 0.08747796321019276 mean_absolute_error 0.0803255597104695 mean_absolute_error 0.048938007754652436 mean_absolute_error 0.07023299983009998 mean_absolute_error 0.10132910730757551 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] precision 0.9514739229024942 [0.6,0.979592] precision 0.9629629629629629 [0.75,0.98] precision 0.9643874643874645 [1,0.961538] precision 0.9389978213507625 [0.666667,0.960784] precision 0.9644153957879448 [1,0.960784] precision 0.9644153957879448 [1,0.960784] precision 0.9644153957879448 [1,0.960784] precision 1 [1,1] precision 0.9476495726495726 [1,0.942308] precision 0.9315164220824599 [1,0.924528] predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 1 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9259259259259259 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 relative_absolute_error 0.747579664269105 relative_absolute_error 0.5248438170021519 relative_absolute_error 0.5604674975476606 relative_absolute_error 0.6220479389419868 relative_absolute_error 0.665333414952608 relative_absolute_error 0.5358528730087742 relative_absolute_error 0.4920402849740524 relative_absolute_error 0.2997734639939657 relative_absolute_error 0.4302175468872681 relative_absolute_error 0.6206991026952955 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_squared_error 0.22992443319915823 root_mean_squared_error 0.16327730166131146 root_mean_squared_error 0.1990996935476485 root_mean_squared_error 0.18117838322570165 root_mean_squared_error 0.20701470817305884 root_mean_squared_error 0.18682906657656803 root_mean_squared_error 0.18672011749186904 root_mean_squared_error 0.09510038379704844 root_mean_squared_error 0.1684019949118137 root_mean_squared_error 0.2316824745003693 root_relative_squared_error 0.8769170212474261 root_relative_squared_error 0.6227291419965492 root_relative_squared_error 0.7593534439458542 root_relative_squared_error 0.6910027173801404 root_relative_squared_error 0.7140402293509337 root_relative_squared_error 0.6444154172670268 root_relative_squared_error 0.6440396274011154 root_relative_squared_error 0.3280225857239046 root_relative_squared_error 0.5808563078980065 root_relative_squared_error 0.7991248964326724 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 0.855 [0.75,0.96] unweighted_recall 0.865 [0.75,0.98] unweighted_recall 0.75 [0.5,1] unweighted_recall 0.74 [0.5,0.98] unweighted_recall 0.8 [0.6,1] unweighted_recall 0.8 [0.6,1] unweighted_recall 0.8 [0.6,1] unweighted_recall 1 [1,1] unweighted_recall 0.7 [0.4,1] unweighted_recall 0.6 [0.2,1] usercpu_time_millis 6.488118990091607 usercpu_time_millis 6.226112018339336 usercpu_time_millis 6.409554014680907 usercpu_time_millis 9.379875991726294 usercpu_time_millis 6.671273993561044 usercpu_time_millis 6.8260539846960455 usercpu_time_millis 6.429186003515497 usercpu_time_millis 6.525392993353307 usercpu_time_millis 5.765052017522976 usercpu_time_millis 5.796292010927573 usercpu_time_millis_testing 0.6290710007306188 usercpu_time_millis_testing 0.581479020183906 usercpu_time_millis_testing 0.5922999989707023 usercpu_time_millis_testing 0.9324889979325235 usercpu_time_millis_testing 0.6530079990625381 usercpu_time_millis_testing 0.7504329842049628 usercpu_time_millis_testing 0.6102370098233223 usercpu_time_millis_testing 0.5846309941262007 usercpu_time_millis_testing 0.5457749939523637 usercpu_time_millis_testing 0.5466869915835559 usercpu_time_millis_training 5.859047989360988 usercpu_time_millis_training 5.64463299815543 usercpu_time_millis_training 5.817254015710205 usercpu_time_millis_training 8.44738699379377 usercpu_time_millis_training 6.018265994498506 usercpu_time_millis_training 6.075621000491083 usercpu_time_millis_training 5.8189489936921746 usercpu_time_millis_training 5.940761999227107 usercpu_time_millis_training 5.219277023570612 usercpu_time_millis_training 5.249605019344017 wall_clock_time_millis 6.499290466308594 wall_clock_time_millis 6.234407424926758 wall_clock_time_millis 6.413698196411133 wall_clock_time_millis 9.386539459228516 wall_clock_time_millis 6.674766540527344 wall_clock_time_millis 6.836175918579102 wall_clock_time_millis 6.439924240112305 wall_clock_time_millis 6.529569625854492 wall_clock_time_millis 5.773067474365234 wall_clock_time_millis 5.804300308227539 wall_clock_time_millis_testing 0.6330013275146484 wall_clock_time_millis_testing 0.5853176116943359 wall_clock_time_millis_testing 0.5977153778076172 wall_clock_time_millis_testing 0.9374618530273438 wall_clock_time_millis_testing 0.6563663482666016 wall_clock_time_millis_testing 0.7548332214355469 wall_clock_time_millis_testing 0.6153583526611328 wall_clock_time_millis_testing 0.5881786346435547 wall_clock_time_millis_testing 0.54931640625 wall_clock_time_millis_testing 0.5497932434082031 wall_clock_time_millis_training 5.866289138793945 wall_clock_time_millis_training 5.649089813232422 wall_clock_time_millis_training 5.815982818603516 wall_clock_time_millis_training 8.449077606201172 wall_clock_time_millis_training 6.018400192260742 wall_clock_time_millis_training 6.081342697143555 wall_clock_time_millis_training 5.824565887451172 wall_clock_time_millis_training 5.9413909912109375 wall_clock_time_millis_training 5.223751068115234 wall_clock_time_millis_training 5.254507064819336 weighted_recall 0.9444444444444444 [0.75,0.96] weighted_recall 0.9629629629629629 [0.75,0.98] weighted_recall 0.9629629629629629 [0.5,1] weighted_recall 0.9444444444444444 [0.5,0.98] weighted_recall 0.9629629629629629 [0.6,1] weighted_recall 0.9629629629629629 [0.6,1] weighted_recall 0.9629629629629629 [0.6,1] weighted_recall 1 [1,1] weighted_recall 0.9444444444444444 [0.4,1] weighted_recall 0.9259259259259259 [0.2,1]