10549280 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 22023515 description https://api.openml.org/data/download/22023515/description.xml -1 22023516 predictions https://api.openml.org/data/download/22023516/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 6.7219139891676605 usercpu_time_millis 9.39307507360354 usercpu_time_millis 6.952954980079085 usercpu_time_millis 6.852029997389764 usercpu_time_millis 6.569402990862727 usercpu_time_millis 5.941214039921761 usercpu_time_millis 6.003783957567066 usercpu_time_millis 6.1934220138937235 usercpu_time_millis 6.07967801624909 usercpu_time_millis 5.884081008844078 usercpu_time_millis_testing 0.6767589948140085 usercpu_time_millis_testing 0.7514920434914529 usercpu_time_millis_testing 0.6484710029326379 usercpu_time_millis_testing 0.649710011202842 usercpu_time_millis_testing 0.6579660112038255 usercpu_time_millis_testing 0.5832639872096479 usercpu_time_millis_testing 0.6356519879773259 usercpu_time_millis_testing 0.6085429922677577 usercpu_time_millis_testing 0.5975160165689886 usercpu_time_millis_testing 0.5599390133284032 usercpu_time_millis_training 6.045154994353652 usercpu_time_millis_training 8.641583030112088 usercpu_time_millis_training 6.304483977146447 usercpu_time_millis_training 6.202319986186922 usercpu_time_millis_training 5.911436979658902 usercpu_time_millis_training 5.357950052712113 usercpu_time_millis_training 5.36813196958974 usercpu_time_millis_training 5.584879021625966 usercpu_time_millis_training 5.482161999680102 usercpu_time_millis_training 5.324141995515674 wall_clock_time_millis 6.725788116455078 wall_clock_time_millis 9.40251350402832 wall_clock_time_millis 6.958484649658203 wall_clock_time_millis 6.855487823486328 wall_clock_time_millis 6.577253341674805 wall_clock_time_millis 5.948781967163086 wall_clock_time_millis 6.010770797729492 wall_clock_time_millis 6.198406219482422 wall_clock_time_millis 6.090641021728516 wall_clock_time_millis 5.8917999267578125 wall_clock_time_millis_testing 0.6792545318603516 wall_clock_time_millis_testing 0.7567405700683594 wall_clock_time_millis_testing 0.6537437438964844 wall_clock_time_millis_testing 0.6527900695800781 wall_clock_time_millis_testing 0.6611347198486328 wall_clock_time_millis_testing 0.5857944488525391 wall_clock_time_millis_testing 0.6389617919921875 wall_clock_time_millis_testing 0.6127357482910156 wall_clock_time_millis_testing 0.60272216796875 wall_clock_time_millis_testing 0.5624294281005859 wall_clock_time_millis_training 6.046533584594727 wall_clock_time_millis_training 8.645772933959961 wall_clock_time_millis_training 6.304740905761719 wall_clock_time_millis_training 6.20269775390625 wall_clock_time_millis_training 5.916118621826172 wall_clock_time_millis_training 5.362987518310547 wall_clock_time_millis_training 5.371809005737305 wall_clock_time_millis_training 5.585670471191406 wall_clock_time_millis_training 5.487918853759766 wall_clock_time_millis_training 5.329370498657227 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]