373478 2 Joaquin Vanschoren 4647 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 1107 tumors_C https://www.openml.org/data/download/53990/tumors_C.arff -1 1297546 description https://api.openml.org/data/download/1297546/weka_generated_run8908811896376494146.xml -1 1297549 model_readable https://api.openml.org/data/download/1297549/WekaModel_weka.classifiers.functions.LibSVM4596172381392508212.model -1 1297548 model_serialized https://api.openml.org/data/download/1297548/WekaSerialized_weka.classifiers.functions.LibSVM1539344541124150764.model -1 1297547 predictions https://api.openml.org/data/download/1297547/weka_generated_predictions8510339313040720176.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 f_measure 0.512121 [0,0.787879] kappa 0 kb_relative_information_score 121.29001 mean_absolute_error 0.35 mean_prior_absolute_error 0.456452 number_of_instances 600 [210,390] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.4225 [0,0.65] predictive_accuracy 0.65 prior_entropy 0.938315 recall 0.65 [0,1] relative_absolute_error 0.766784 root_mean_prior_squared_error 0.476994 root_mean_squared_error 0.591608 root_relative_squared_error 1.240284 scimark_benchmark 1325.297832 [812.0300923888153, 994.3008483142872, 528.6763916284323, 1046.4829861235633, 3244.9988405368413] total_cost 0 usercpu_time_millis 2800 usercpu_time_millis_testing 1380 usercpu_time_millis_training 1420 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] 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 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 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 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 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 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 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 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 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 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 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score 0 kb_relative_information_score 0 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.25 [0,0.5] precision 0.25 [0,0.5] predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 recall 0.5 [0,1] recall 0.5 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 1 relative_absolute_error 1 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.57735 root_mean_squared_error 0.707107 root_mean_squared_error 0.707107 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.223472 root_relative_squared_error 1.358135 root_relative_squared_error 1.358135 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 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 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 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 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 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 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 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 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 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 usercpu_time_millis 1370 usercpu_time_millis 1230 usercpu_time_millis 1370 usercpu_time_millis 1150 usercpu_time_millis 1390 usercpu_time_millis 1350 usercpu_time_millis 1340 usercpu_time_millis 1560 usercpu_time_millis 1350 usercpu_time_millis 1370 usercpu_time_millis 1400 usercpu_time_millis 1370 usercpu_time_millis 1370 usercpu_time_millis 1550 usercpu_time_millis 1300 usercpu_time_millis 1370 usercpu_time_millis 1390 usercpu_time_millis 1270 usercpu_time_millis 930 usercpu_time_millis 1440 usercpu_time_millis 1330 usercpu_time_millis 1490 usercpu_time_millis 1340 usercpu_time_millis 1370 usercpu_time_millis 1310 usercpu_time_millis 1130 usercpu_time_millis 1410 usercpu_time_millis 1460 usercpu_time_millis 1420 usercpu_time_millis 1380 usercpu_time_millis 1390 usercpu_time_millis 1050 usercpu_time_millis 1570 usercpu_time_millis 1440 usercpu_time_millis 1390 usercpu_time_millis 1340 usercpu_time_millis 1360 usercpu_time_millis 1370 usercpu_time_millis 1440 usercpu_time_millis 1350 usercpu_time_millis 1330 usercpu_time_millis 1390 usercpu_time_millis 1340 usercpu_time_millis 1420 usercpu_time_millis 1700 usercpu_time_millis 1610 usercpu_time_millis 1360 usercpu_time_millis 1440 usercpu_time_millis 1350 usercpu_time_millis 1330 usercpu_time_millis 1370 usercpu_time_millis 1360 usercpu_time_millis 1360 usercpu_time_millis 1430 usercpu_time_millis 1340 usercpu_time_millis 1540 usercpu_time_millis 1910 usercpu_time_millis 1390 usercpu_time_millis 1280 usercpu_time_millis 1380 usercpu_time_millis 1400 usercpu_time_millis 910 usercpu_time_millis 1330 usercpu_time_millis 1330 usercpu_time_millis 1320 usercpu_time_millis 1210 usercpu_time_millis 1520 usercpu_time_millis 1720 usercpu_time_millis 1370 usercpu_time_millis 1300 usercpu_time_millis 1370 usercpu_time_millis 1420 usercpu_time_millis 1360 usercpu_time_millis 1310 usercpu_time_millis 1330 usercpu_time_millis 1390 usercpu_time_millis 1430 usercpu_time_millis 1320 usercpu_time_millis 1410 usercpu_time_millis 1410 usercpu_time_millis 1410 usercpu_time_millis 1400 usercpu_time_millis 1410 usercpu_time_millis 1420 usercpu_time_millis 1270 usercpu_time_millis 1430 usercpu_time_millis 1360 usercpu_time_millis 1270 usercpu_time_millis 1380 usercpu_time_millis 1380 usercpu_time_millis 1330 usercpu_time_millis 1380 usercpu_time_millis 1420 usercpu_time_millis 1020 usercpu_time_millis 1420 usercpu_time_millis 1410 usercpu_time_millis 1400 usercpu_time_millis 1350 usercpu_time_millis 1400 usercpu_time_millis 1430 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 100 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 110 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 220 usercpu_time_millis_testing 140 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 240 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 90 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 160 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 100 usercpu_time_millis_testing 130 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 140 usercpu_time_millis_training 1240 usercpu_time_millis_training 1100 usercpu_time_millis_training 1230 usercpu_time_millis_training 1030 usercpu_time_millis_training 1260 usercpu_time_millis_training 1210 usercpu_time_millis_training 1210 usercpu_time_millis_training 1420 usercpu_time_millis_training 1210 usercpu_time_millis_training 1230 usercpu_time_millis_training 1240 usercpu_time_millis_training 1250 usercpu_time_millis_training 1240 usercpu_time_millis_training 1400 usercpu_time_millis_training 1170 usercpu_time_millis_training 1220 usercpu_time_millis_training 1240 usercpu_time_millis_training 1140 usercpu_time_millis_training 830 usercpu_time_millis_training 1300 usercpu_time_millis_training 1190 usercpu_time_millis_training 1350 usercpu_time_millis_training 1220 usercpu_time_millis_training 1260 usercpu_time_millis_training 1200 usercpu_time_millis_training 1010 usercpu_time_millis_training 1270 usercpu_time_millis_training 1330 usercpu_time_millis_training 1280 usercpu_time_millis_training 1240 usercpu_time_millis_training 1250 usercpu_time_millis_training 940 usercpu_time_millis_training 1420 usercpu_time_millis_training 1320 usercpu_time_millis_training 1250 usercpu_time_millis_training 1220 usercpu_time_millis_training 1230 usercpu_time_millis_training 1230 usercpu_time_millis_training 1300 usercpu_time_millis_training 1220 usercpu_time_millis_training 1200 usercpu_time_millis_training 1250 usercpu_time_millis_training 1220 usercpu_time_millis_training 1280 usercpu_time_millis_training 1570 usercpu_time_millis_training 1390 usercpu_time_millis_training 1220 usercpu_time_millis_training 1290 usercpu_time_millis_training 1220 usercpu_time_millis_training 1200 usercpu_time_millis_training 1230 usercpu_time_millis_training 1240 usercpu_time_millis_training 1240 usercpu_time_millis_training 1290 usercpu_time_millis_training 1200 usercpu_time_millis_training 1400 usercpu_time_millis_training 1670 usercpu_time_millis_training 1260 usercpu_time_millis_training 1160 usercpu_time_millis_training 1230 usercpu_time_millis_training 1270 usercpu_time_millis_training 820 usercpu_time_millis_training 1200 usercpu_time_millis_training 1200 usercpu_time_millis_training 1190 usercpu_time_millis_training 1090 usercpu_time_millis_training 1390 usercpu_time_millis_training 1560 usercpu_time_millis_training 1250 usercpu_time_millis_training 1160 usercpu_time_millis_training 1250 usercpu_time_millis_training 1280 usercpu_time_millis_training 1230 usercpu_time_millis_training 1190 usercpu_time_millis_training 1190 usercpu_time_millis_training 1280 usercpu_time_millis_training 1320 usercpu_time_millis_training 1190 usercpu_time_millis_training 1260 usercpu_time_millis_training 1250 usercpu_time_millis_training 1270 usercpu_time_millis_training 1250 usercpu_time_millis_training 1280 usercpu_time_millis_training 1290 usercpu_time_millis_training 1140 usercpu_time_millis_training 1290 usercpu_time_millis_training 1240 usercpu_time_millis_training 1140 usercpu_time_millis_training 1250 usercpu_time_millis_training 1250 usercpu_time_millis_training 1200 usercpu_time_millis_training 1260 usercpu_time_millis_training 1290 usercpu_time_millis_training 920 usercpu_time_millis_training 1290 usercpu_time_millis_training 1270 usercpu_time_millis_training 1280 usercpu_time_millis_training 1220 usercpu_time_millis_training 1250 usercpu_time_millis_training 1290