10549262 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) 8275631 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 25.0 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 22023479 description https://api.openml.org/data/download/22023479/description.xml -1 22023480 predictions https://api.openml.org/data/download/22023480/predictions.arff area_under_roc_curve 0.9498327759197326 [0.949833,0.949833] average_cost 0 f_measure 0.9626194095329897 [0.765432,0.980981] kappa 0.7467917077986178 kb_relative_information_score 0.4131421475760771 mean_absolute_error 0.0630289742665953 mean_prior_absolute_error 0.15712723793904684 weighted_recall 0.9648148148148148 [0.673913,0.991903] number_of_instances 540 [46,494] precision 0.9630918329928231 [0.885714,0.970297] predictive_accuracy 0.9648148148148148 prior_entropy 0.420212492518953 relative_absolute_error 0.4011333432275163 root_mean_prior_squared_error 0.2791612659332496 root_mean_squared_error 0.1850014680166013 root_relative_squared_error 0.6627046463560496 total_cost 0 unweighted_recall 0.832907938743179 [0.673913,0.991903] area_under_roc_curve 0.7799999999999999 [0.78,0.78] area_under_roc_curve 0.99 [0.99,0.99] area_under_roc_curve 0.925 [0.925,0.925] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.946938775510204 [0.946939,0.946939] area_under_roc_curve 0.963265306122449 [0.963265,0.963265] area_under_roc_curve 0.9836734693877551 [0.983673,0.983673] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9918367346938776 [0.991837,0.991837] area_under_roc_curve 0.9346938775510204 [0.934694,0.934694] 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 0.982416760194538 [0.888889,0.989899] f_measure 0.9571532316630355 [0.666667,0.980392] f_measure 0.9629629629629629 [0.75,0.98] 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 0.980546202768425 [0.888889,0.989899] f_measure 0.9026870007262163 [0.333333,0.960784] kappa 0.6367713004484302 kappa 0.8789237668161436 kappa 0.6493506493506489 kappa 0.7299999999999996 kappa 0.7313432835820891 kappa 0.7313432835820891 kappa 0.7313432835820891 kappa 1 kappa 0.8789237668161436 kappa 0.3121019108280258 kb_relative_information_score 0.1020486669736904 kb_relative_information_score 0.4079452572568347 kb_relative_information_score 0.3717084633093398 kb_relative_information_score 0.461676279417252 kb_relative_information_score 0.17132900222180075 kb_relative_information_score 0.43561812537801103 kb_relative_information_score 0.4800936414482974 kb_relative_information_score 0.8547598885852569 kb_relative_information_score 0.6362959239032079 kb_relative_information_score 0.16627814182222256 mean_absolute_error 0.07961345380466692 mean_absolute_error 0.057927710655050264 mean_absolute_error 0.06214028721473244 mean_absolute_error 0.05931176977261674 mean_absolute_error 0.08743901950580348 mean_absolute_error 0.05987564171365601 mean_absolute_error 0.0632401484692132 mean_absolute_error 0.01868015384883493 mean_absolute_error 0.051706494486197935 mean_absolute_error 0.09035506319518098 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 0.9851851851851853 [0.8,1] precision 0.9643874643874645 [1,0.961538] precision 0.9629629629629629 [0.75,0.98] precision 0.9644153957879448 [1,0.960784] precision 0.9644153957879448 [1,0.960784] precision 0.9644153957879448 [1,0.960784] precision 1 [1,1] precision 0.9818518518518518 [1,0.98] precision 0.9315164220824599 [1,0.924528] predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9814814814814815 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 1 predictive_accuracy 0.9814814814814815 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 0.5381354655785201 relative_absolute_error 0.39155386500046463 relative_absolute_error 0.42002815847593306 relative_absolute_error 0.40090920963162757 relative_absolute_error 0.5356143204051605 relative_absolute_error 0.36677276719867824 relative_absolute_error 0.3873823075338914 relative_absolute_error 0.11442669377306425 relative_absolute_error 0.3167320386400255 relative_absolute_error 0.5534767663450311 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 0.2355274246899033 root_mean_squared_error 0.15855941033217505 root_mean_squared_error 0.19595283305820158 root_mean_squared_error 0.17333255900475922 root_mean_squared_error 0.20582610459328252 root_mean_squared_error 0.18802558087675983 root_mean_squared_error 0.17987750946329725 root_mean_squared_error 0.04809411534357876 root_mean_squared_error 0.14818286826859317 root_mean_squared_error 0.2425991741877158 root_relative_squared_error 0.8982864709391122 root_relative_squared_error 0.6047354074753825 root_relative_squared_error 0.7473515201472785 root_relative_squared_error 0.6610792477021693 root_relative_squared_error 0.709940468613154 root_relative_squared_error 0.648542463856472 root_relative_squared_error 0.6204379352836864 root_relative_squared_error 0.16588740700323068 root_relative_squared_error 0.5111159983663205 root_relative_squared_error 0.8367790458276602 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 0.99 [1,0.98] unweighted_recall 0.75 [0.5,1] unweighted_recall 0.865 [0.75,0.98] 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 0.9 [0.8,1] unweighted_recall 0.6 [0.2,1] usercpu_time_millis 8.060178952291608 usercpu_time_millis 7.518110040109605 usercpu_time_millis 7.788192015141249 usercpu_time_millis 7.562362938188016 usercpu_time_millis 8.010813035070896 usercpu_time_millis 7.491649012081325 usercpu_time_millis 7.564081985037774 usercpu_time_millis 7.550424954388291 usercpu_time_millis 7.568918983452022 usercpu_time_millis 7.192333985585719 usercpu_time_millis_testing 0.6923659821040928 usercpu_time_millis_testing 0.7455259910784662 usercpu_time_millis_testing 0.6542140035890043 usercpu_time_millis_testing 0.6716839852742851 usercpu_time_millis_testing 0.6889550131745636 usercpu_time_millis_testing 0.6826039752922952 usercpu_time_millis_testing 0.6934659904800355 usercpu_time_millis_testing 0.6839080015197396 usercpu_time_millis_testing 0.6851489888504148 usercpu_time_millis_testing 0.6389860063791275 usercpu_time_millis_training 7.367812970187515 usercpu_time_millis_training 6.772584049031138 usercpu_time_millis_training 7.133978011552244 usercpu_time_millis_training 6.890678952913731 usercpu_time_millis_training 7.3218580218963325 usercpu_time_millis_training 6.80904503678903 usercpu_time_millis_training 6.870615994557738 usercpu_time_millis_training 6.866516952868551 usercpu_time_millis_training 6.883769994601607 usercpu_time_millis_training 6.553347979206592 wall_clock_time_millis 8.069753646850586 wall_clock_time_millis 7.533073425292969 wall_clock_time_millis 7.796525955200195 wall_clock_time_millis 7.572650909423828 wall_clock_time_millis 8.019208908081055 wall_clock_time_millis 7.499217987060547 wall_clock_time_millis 7.571935653686523 wall_clock_time_millis 7.562875747680664 wall_clock_time_millis 7.575035095214844 wall_clock_time_millis 7.195472717285156 wall_clock_time_millis_testing 0.6995201110839844 wall_clock_time_millis_testing 0.7522106170654297 wall_clock_time_millis_testing 0.6594657897949219 wall_clock_time_millis_testing 0.6754398345947266 wall_clock_time_millis_testing 0.6937980651855469 wall_clock_time_millis_testing 0.6890296936035156 wall_clock_time_millis_testing 0.6988048553466797 wall_clock_time_millis_testing 0.6892681121826172 wall_clock_time_millis_testing 0.6906986236572266 wall_clock_time_millis_testing 0.6427764892578125 wall_clock_time_millis_training 7.370233535766602 wall_clock_time_millis_training 6.780862808227539 wall_clock_time_millis_training 7.137060165405273 wall_clock_time_millis_training 6.897211074829102 wall_clock_time_millis_training 7.325410842895508 wall_clock_time_millis_training 6.810188293457031 wall_clock_time_millis_training 6.873130798339844 wall_clock_time_millis_training 6.873607635498047 wall_clock_time_millis_training 6.884336471557617 wall_clock_time_millis_training 6.552696228027344 weighted_recall 0.9444444444444444 [0.75,0.96] weighted_recall 0.9814814814814815 [1,0.98] weighted_recall 0.9629629629629629 [0.5,1] weighted_recall 0.9629629629629629 [0.75,0.98] 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 0.9814814814814815 [0.8,1] weighted_recall 0.9259259259259259 [0.2,1]