10545145 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) 8275627 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.1 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 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 22015245 description https://api.openml.org/data/download/22015245/description.xml -1 22015246 predictions https://api.openml.org/data/download/22015246/predictions.arff area_under_roc_curve 0.9522091181130082 [0.952209,0.952209] average_cost 0 f_measure 0.9242902163090713 [0.459016,0.967615] kappa 0.43536121673003825 kb_relative_information_score 0.16081006133836254 mean_absolute_error 0.10204835621220885 mean_prior_absolute_error 0.15712723793904684 weighted_recall 0.9388888888888889 [0.304348,0.997976] number_of_instances 540 [46,494] precision 0.9385608465608465 [0.933333,0.939048] predictive_accuracy 0.9388888888888889 prior_entropy 0.420212492518953 relative_absolute_error 0.6494631837911876 root_mean_prior_squared_error 0.2791612659332496 root_mean_squared_error 0.20592444352962933 root_relative_squared_error 0.7376540683078434 total_cost 0 unweighted_recall 0.6511617672944905 [0.304348,0.997976] area_under_roc_curve 0.7799999999999999 [0.78,0.78] area_under_roc_curve 0.99 [0.99,0.99] area_under_roc_curve 0.895 [0.895,0.895] area_under_roc_curve 0.9700000000000001 [0.97,0.97] area_under_roc_curve 0.9673469387755104 [0.967347,0.967347] area_under_roc_curve 0.9673469387755104 [0.967347,0.967347] 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 0.946938775510204 [0.946939,0.946939] 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 0.9407512179789406 [0.571429,0.970297] f_measure 0.9571532316630355 [0.666667,0.980392] f_measure 0.928586839266451 [0.4,0.970874] f_measure 0.928586839266451 [0.4,0.970874] f_measure 0.9333647650479333 [0.571429,0.970297] f_measure 0.9026870007262163 [0.333333,0.960784] f_measure 0.9587037037037036 [0.75,0.98] f_measure 0.9026870007262163 [0.333333,0.960784] f_measure 0.9026870007262163 [0.333333,0.960784] kappa 0.5423728813559318 kappa 0.6493506493506489 kappa 0.3816793893129772 kappa 0.3816793893129772 kappa 0 kappa 0.5474860335195529 kappa 0.3121019108280258 kappa 0.7313432835820891 kappa 0.3121019108280258 kappa 0.3121019108280258 kb_relative_information_score -0.2764383735321362 kb_relative_information_score 0.1613546614829869 kb_relative_information_score 0.0625431848146379 kb_relative_information_score -0.0022453952552532516 kb_relative_information_score 0.015761740434859152 kb_relative_information_score 0.19119626742377516 kb_relative_information_score 0.2766662559737088 kb_relative_information_score 0.5296730911619542 kb_relative_information_score 0.4160602078458149 kb_relative_information_score 0.13494404500542162 mean_absolute_error 0.11760133453600394 mean_absolute_error 0.09212647383808018 mean_absolute_error 0.09765914263240416 mean_absolute_error 0.11050587922995952 mean_absolute_error 0.12033813030668382 mean_absolute_error 0.10882980901205291 mean_absolute_error 0.09709614043109453 mean_absolute_error 0.07798500839115625 mean_absolute_error 0.08977105858778238 mean_absolute_error 0.10857058515687205 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 0.9389978213507625 [0.666667,0.960784] precision 0.9643874643874645 [1,0.961538] precision 0.9475890985324947 [1,0.943396] precision 0.9475890985324947 [1,0.943396] precision 0.9476495726495726 [1,0.942308] precision 0.9315164220824599 [1,0.924528] precision 0.9644153957879448 [1,0.960784] precision 0.9315164220824599 [1,0.924528] precision 0.9315164220824599 [1,0.924528] predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9074074074074074 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9259259259259259 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9259259259259259 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 0.7949089744110311 relative_absolute_error 0.6227153894440951 relative_absolute_error 0.6601126527864218 relative_absolute_error 0.7469482848273572 relative_absolute_error 0.7371403092959448 relative_absolute_error 0.666645217698779 relative_absolute_error 0.5947697442731846 relative_absolute_error 0.47770306102812105 relative_absolute_error 0.5498994019981616 relative_absolute_error 0.6650573223883073 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 0.21714789697389128 root_mean_squared_error 0.17931998972125904 root_mean_squared_error 0.21438067210190198 root_mean_squared_error 0.1958038564105314 root_mean_squared_error 0.2254990795728182 root_mean_squared_error 0.2075273725235434 root_mean_squared_error 0.2138488922381972 root_mean_squared_error 0.15412880473185847 root_mean_squared_error 0.20475793872727885 root_mean_squared_error 0.23475812644896196 root_relative_squared_error 0.8281881326616003 root_relative_squared_error 0.6839149239101451 root_relative_squared_error 0.8176341147257825 root_relative_squared_error 0.7467833327811398 root_relative_squared_error 0.7777969783769901 root_relative_squared_error 0.7158085238534384 root_relative_squared_error 0.7376128653262406 root_relative_squared_error 0.5316248688393634 root_relative_squared_error 0.7062561246036043 root_relative_squared_error 0.8097335108744096 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 0.74 [0.5,0.98] unweighted_recall 0.75 [0.5,1] unweighted_recall 0.625 [0.25,1] unweighted_recall 0.625 [0.25,1] unweighted_recall 0.5 [0,1] unweighted_recall 0.7 [0.4,1] unweighted_recall 0.6 [0.2,1] unweighted_recall 0.8 [0.6,1] unweighted_recall 0.6 [0.2,1] unweighted_recall 0.6 [0.2,1] usercpu_time_millis 8.009577984921634 usercpu_time_millis 8.010268968064338 usercpu_time_millis 8.386233996134251 usercpu_time_millis 8.094892982626334 usercpu_time_millis 7.995084975846112 usercpu_time_millis 8.168523985659704 usercpu_time_millis 7.403686991892755 usercpu_time_millis 7.412382983602583 usercpu_time_millis 7.566899002995342 usercpu_time_millis 7.328371022595093 usercpu_time_millis_testing 0.5123979935888201 usercpu_time_millis_testing 0.5026479775551707 usercpu_time_millis_testing 0.5381219962146133 usercpu_time_millis_testing 0.49814899102784693 usercpu_time_millis_testing 0.5118649860378355 usercpu_time_millis_testing 0.5103409930597991 usercpu_time_millis_testing 0.4862119967583567 usercpu_time_millis_testing 0.45016699004918337 usercpu_time_millis_testing 0.4675209929700941 usercpu_time_millis_testing 0.46047099749557674 usercpu_time_millis_training 7.497179991332814 usercpu_time_millis_training 7.507620990509167 usercpu_time_millis_training 7.848111999919638 usercpu_time_millis_training 7.596743991598487 usercpu_time_millis_training 7.483219989808276 usercpu_time_millis_training 7.6581829925999045 usercpu_time_millis_training 6.917474995134398 usercpu_time_millis_training 6.9622159935534 usercpu_time_millis_training 7.099378010025248 usercpu_time_millis_training 6.867900025099516 wall_clock_time_millis 8.018016815185547 wall_clock_time_millis 8.016824722290039 wall_clock_time_millis 8.526086807250977 wall_clock_time_millis 8.101463317871094 wall_clock_time_millis 8.00466537475586 wall_clock_time_millis 8.175849914550781 wall_clock_time_millis 7.413625717163086 wall_clock_time_millis 7.418394088745117 wall_clock_time_millis 7.574796676635742 wall_clock_time_millis 7.335901260375977 wall_clock_time_millis_testing 0.5183219909667969 wall_clock_time_millis_testing 0.5097389221191406 wall_clock_time_millis_testing 0.5426406860351562 wall_clock_time_millis_testing 0.5042552947998047 wall_clock_time_millis_testing 0.5204677581787109 wall_clock_time_millis_testing 0.5171298980712891 wall_clock_time_millis_testing 0.4909038543701172 wall_clock_time_millis_testing 0.4558563232421875 wall_clock_time_millis_testing 0.47397613525390625 wall_clock_time_millis_testing 0.46539306640625 wall_clock_time_millis_training 7.49969482421875 wall_clock_time_millis_training 7.507085800170898 wall_clock_time_millis_training 7.98344612121582 wall_clock_time_millis_training 7.597208023071289 wall_clock_time_millis_training 7.484197616577148 wall_clock_time_millis_training 7.658720016479492 wall_clock_time_millis_training 6.922721862792969 wall_clock_time_millis_training 6.96253776550293 wall_clock_time_millis_training 7.100820541381836 wall_clock_time_millis_training 6.870508193969727 weighted_recall 0.9444444444444444 [0.5,0.98] weighted_recall 0.9629629629629629 [0.5,1] weighted_recall 0.9444444444444444 [0.25,1] weighted_recall 0.9444444444444444 [0.25,1] weighted_recall 0.9074074074074074 [0,1] weighted_recall 0.9444444444444444 [0.4,1] weighted_recall 0.9259259259259259 [0.2,1] weighted_recall 0.9629629629629629 [0.6,1] weighted_recall 0.9259259259259259 [0.2,1] weighted_recall 0.9259259259259259 [0.2,1]