212290 2 Joaquin Vanschoren 4647 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 1107 tumors_C https://www.openml.org/data/download/53990/tumors_C.arff -1 706438 description https://api.openml.org/data/download/706438/weka_generated_run5507245638210605643.xml -1 706441 model_readable https://api.openml.org/data/download/706441/WekaModel_weka.classifiers.meta.Bagging7587321564687861834.model -1 706440 model_serialized https://api.openml.org/data/download/706440/WekaSerialized_weka.classifiers.meta.Bagging5366696994810849849.model -1 706439 predictions https://api.openml.org/data/download/706439/weka_generated_predictions5230942969133305398.arff area_under_roc_curve 0.545501 [0.545501,0.545501] average_cost 0 f_measure 0.566734 [0.234114,0.745838] kappa 0.032531 kb_relative_information_score 5.480579 mean_absolute_error 0.44512 mean_prior_absolute_error 0.456452 number_of_instances 600 [210,390] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.565038 [0.393258,0.657534] predictive_accuracy 0.618333 prior_entropy 0.938315 recall 0.618333 [0.166667,0.861538] relative_absolute_error 0.975174 root_mean_prior_squared_error 0.476994 root_mean_squared_error 0.485991 root_relative_squared_error 1.018861 scimark_benchmark 933.313591 [562.2955000233699, 1014.7209476623404, 467.8613456666719, 890.1323759587948, 1731.5577861038655] total_cost 0 usercpu_time_millis 920 usercpu_time_millis_testing 0 usercpu_time_millis_training 920 area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.222222 [0.222222,0.222222] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0 [0,0] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.1875 [0.1875,0.1875] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.444444 [0.444444,0.444444] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.111111 [0.111111,0.111111] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.777778 [0.777778,0.777778] 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 0.666667 [0.666667,0.666667] f_measure 0.625 [0.5,0.75] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.485714 [0.4,0.571429] f_measure 0 [0,0] f_measure 0.333333 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0,0.5] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.514286 [0.4,0.571429] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [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 0.838095 [0.8,0.857143] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [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 0.666667 [0.5,0.75] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.514286 [0.4,0.571429] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.190476 [0,0.285714] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.666667 [0.5,0.75] 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 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0.333333,0.333333] f_measure 0.666667 [0.5,0.75] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.190476 [0,0.285714] f_measure 0.333333 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.666667 [0.5,0.75] f_measure 0.333333 [0,0.666667] f_measure 0.333333 [0,0.666667] kappa 0.333333 kappa 0.333333 kappa 0 kappa 0 kappa 0 kappa 0 kappa -1 kappa 0 kappa 0.571429 kappa 0 kappa -0.285714 kappa -0.5 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0.571429 kappa 0 kappa 0 kappa 0 kappa 0.571429 kappa -0.285714 kappa 0.571429 kappa 0 kappa 0.571429 kappa -0.285714 kappa 0.571429 kappa -0.285714 kappa 0.571429 kappa 0 kappa -0.285714 kappa -0.285714 kappa 0 kappa 0 kappa 0 kappa 0.666667 kappa -0.285714 kappa 0.571429 kappa 0 kappa 0.25 kappa -0.285714 kappa -0.285714 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0.25 kappa 0 kappa 0.571429 kappa 0 kappa 0.25 kappa 0.25 kappa -0.285714 kappa 0 kappa 0.571429 kappa -0.285714 kappa 0 kappa -0.666667 kappa 0.25 kappa 0.571429 kappa -0.285714 kappa 0 kappa -0.285714 kappa 0 kappa 0 kappa 0.571429 kappa -0.5 kappa 0 kappa 0.571429 kappa 0 kappa 0 kappa 0.25 kappa 0 kappa 0 kappa 0 kappa -0.5 kappa -0.285714 kappa 0.571429 kappa -0.5 kappa -0.285714 kappa -0.2 kappa 0.25 kappa 0 kappa 0 kappa 0.571429 kappa 0 kappa -0.666667 kappa -0.5 kappa -0.285714 kappa 0.571429 kappa 0.571429 kappa -0.285714 kappa 0 kappa 0 kappa 0 kappa 0.571429 kappa 0 kappa 0.25 kappa 0 kappa 0 kb_relative_information_score 1.459652 kb_relative_information_score 1.343842 kb_relative_information_score -0.125338 kb_relative_information_score 0.437134 kb_relative_information_score 0.276179 kb_relative_information_score 1.260294 kb_relative_information_score -3.142128 kb_relative_information_score -0.904412 kb_relative_information_score 2.644761 kb_relative_information_score -0.05837 kb_relative_information_score -0.648344 kb_relative_information_score -0.597132 kb_relative_information_score 0.602319 kb_relative_information_score -0.545753 kb_relative_information_score 1.216145 kb_relative_information_score -1.131319 kb_relative_information_score 0.436622 kb_relative_information_score -0.467188 kb_relative_information_score -0.035211 kb_relative_information_score 0.489881 kb_relative_information_score 0.062636 kb_relative_information_score -1.294622 kb_relative_information_score 1.654767 kb_relative_information_score 0.341999 kb_relative_information_score 1.518563 kb_relative_information_score -0.688835 kb_relative_information_score 0.584061 kb_relative_information_score -0.04646 kb_relative_information_score 2.04927 kb_relative_information_score 0.230592 kb_relative_information_score -0.11864 kb_relative_information_score -0.353509 kb_relative_information_score 1.197337 kb_relative_information_score 0.885848 kb_relative_information_score 0.254692 kb_relative_information_score 0.968496 kb_relative_information_score -1.56031 kb_relative_information_score 1.386333 kb_relative_information_score 1.218279 kb_relative_information_score 0.82534 kb_relative_information_score 0.451942 kb_relative_information_score -0.186535 kb_relative_information_score 0.437731 kb_relative_information_score 0.295208 kb_relative_information_score 1.129516 kb_relative_information_score 0.677414 kb_relative_information_score 1.02873 kb_relative_information_score -0.354679 kb_relative_information_score 2.159918 kb_relative_information_score -0.547815 kb_relative_information_score -0.391859 kb_relative_information_score -0.641887 kb_relative_information_score -0.822603 kb_relative_information_score 0.799175 kb_relative_information_score 1.545108 kb_relative_information_score -1.660509 kb_relative_information_score -0.083439 kb_relative_information_score -2.299559 kb_relative_information_score -0.726312 kb_relative_information_score 0.121535 kb_relative_information_score -0.505497 kb_relative_information_score 0.360645 kb_relative_information_score -0.053616 kb_relative_information_score 0.056175 kb_relative_information_score -0.329846 kb_relative_information_score 1.134264 kb_relative_information_score -0.869852 kb_relative_information_score -1.087687 kb_relative_information_score 1.072704 kb_relative_information_score 0.28128 kb_relative_information_score 0.237376 kb_relative_information_score -0.130319 kb_relative_information_score -0.012015 kb_relative_information_score -0.557525 kb_relative_information_score 0.636044 kb_relative_information_score -1.089873 kb_relative_information_score -1.955058 kb_relative_information_score 0.391068 kb_relative_information_score -0.800194 kb_relative_information_score -1.14435 kb_relative_information_score -1.252481 kb_relative_information_score -0.537182 kb_relative_information_score -0.446955 kb_relative_information_score -0.334806 kb_relative_information_score 1.342608 kb_relative_information_score -0.917082 kb_relative_information_score -2.625737 kb_relative_information_score -2.225314 kb_relative_information_score -0.13879 kb_relative_information_score 2.172547 kb_relative_information_score 0.284846 kb_relative_information_score -0.079644 kb_relative_information_score -0.102266 kb_relative_information_score 0.506631 kb_relative_information_score -0.92217 kb_relative_information_score 1.051837 kb_relative_information_score -0.038063 kb_relative_information_score 0.465899 kb_relative_information_score 0.43804 kb_relative_information_score 0.646389 mean_absolute_error 0.41306 mean_absolute_error 0.412008 mean_absolute_error 0.454953 mean_absolute_error 0.414805 mean_absolute_error 0.418439 mean_absolute_error 0.427753 mean_absolute_error 0.682009 mean_absolute_error 0.555911 mean_absolute_error 0.266847 mean_absolute_error 0.45743 mean_absolute_error 0.474557 mean_absolute_error 0.47852 mean_absolute_error 0.401581 mean_absolute_error 0.480639 mean_absolute_error 0.371582 mean_absolute_error 0.51752 mean_absolute_error 0.42265 mean_absolute_error 0.473907 mean_absolute_error 0.45063 mean_absolute_error 0.405444 mean_absolute_error 0.446814 mean_absolute_error 0.531441 mean_absolute_error 0.338381 mean_absolute_error 0.422031 mean_absolute_error 0.353606 mean_absolute_error 0.483495 mean_absolute_error 0.417232 mean_absolute_error 0.437491 mean_absolute_error 0.310225 mean_absolute_error 0.426109 mean_absolute_error 0.444005 mean_absolute_error 0.470126 mean_absolute_error 0.373323 mean_absolute_error 0.39215 mean_absolute_error 0.422813 mean_absolute_error 0.397268 mean_absolute_error 0.530968 mean_absolute_error 0.35928 mean_absolute_error 0.352987 mean_absolute_error 0.385901 mean_absolute_error 0.415941 mean_absolute_error 0.454327 mean_absolute_error 0.412781 mean_absolute_error 0.412099 mean_absolute_error 0.37575 mean_absolute_error 0.404351 mean_absolute_error 0.387819 mean_absolute_error 0.46952 mean_absolute_error 0.30269 mean_absolute_error 0.4742 mean_absolute_error 0.468483 mean_absolute_error 0.488328 mean_absolute_error 0.485563 mean_absolute_error 0.39677 mean_absolute_error 0.347249 mean_absolute_error 0.538304 mean_absolute_error 0.449311 mean_absolute_error 0.564652 mean_absolute_error 0.492108 mean_absolute_error 0.442061 mean_absolute_error 0.472326 mean_absolute_error 0.42351 mean_absolute_error 0.439015 mean_absolute_error 0.437176 mean_absolute_error 0.473527 mean_absolute_error 0.383026 mean_absolute_error 0.493918 mean_absolute_error 0.507286 mean_absolute_error 0.379043 mean_absolute_error 0.420972 mean_absolute_error 0.437597 mean_absolute_error 0.454691 mean_absolute_error 0.439764 mean_absolute_error 0.481345 mean_absolute_error 0.403701 mean_absolute_error 0.499008 mean_absolute_error 0.573447 mean_absolute_error 0.426539 mean_absolute_error 0.489588 mean_absolute_error 0.503029 mean_absolute_error 0.511116 mean_absolute_error 0.478179 mean_absolute_error 0.458533 mean_absolute_error 0.463246 mean_absolute_error 0.367121 mean_absolute_error 0.497573 mean_absolute_error 0.598283 mean_absolute_error 0.577648 mean_absolute_error 0.440945 mean_absolute_error 0.318642 mean_absolute_error 0.435602 mean_absolute_error 0.43059 mean_absolute_error 0.512489 mean_absolute_error 0.476141 mean_absolute_error 0.572029 mean_absolute_error 0.38443 mean_absolute_error 0.441494 mean_absolute_error 0.416158 mean_absolute_error 0.476285 mean_absolute_error 0.458747 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 0.666667 [0.666667,0.666667] precision 0.8 [1,0.6] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.5 [0.5,0.5] precision 0 [0,0] precision 0.25 [0,0.5] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.4 [0,0.6] precision 0.333333 [0,0.5] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.888889 [0.666667,1] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.4 [0,0.6] 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 0.666667 [0.5,0.75] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.555556 [0.333333,0.666667] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.222222 [0,0.333333] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.666667 [0.5,0.75] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.416667 [0.25,0.5] precision 0.666667 [0.5,0.75] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.222222 [0,0.333333] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.25 [0,0.5] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.666667 [0.5,0.75] precision 0.25 [0,0.5] precision 0.25 [0,0.5] predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 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 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 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 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.833333 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 0.666667 [0.666667,0.666667] recall 0.666667 [0.333333,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0.333333,0.666667] recall 0 [0,0] recall 0.5 [0,1] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.5 [0,0.75] recall 0.333333 [0,0.5] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0.5,0.5] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.833333 [1,0.75] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0.5,0.5] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.166667 [0,0.25] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.333333 [0.5,0.25] recall 0.666667 [0.5,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.166667 [0,0.25] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.5 [0,1] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.5 [0,1] recall 0.5 [0,1] relative_absolute_error 0.826121 relative_absolute_error 0.824016 relative_absolute_error 1.007395 relative_absolute_error 0.918498 relative_absolute_error 0.926543 relative_absolute_error 0.855506 relative_absolute_error 1.364018 relative_absolute_error 1.111821 relative_absolute_error 0.590876 relative_absolute_error 1.012881 relative_absolute_error 1.050806 relative_absolute_error 1.059579 relative_absolute_error 0.889214 relative_absolute_error 1.064273 relative_absolute_error 0.822789 relative_absolute_error 1.145937 relative_absolute_error 0.935868 relative_absolute_error 1.049365 relative_absolute_error 0.997822 relative_absolute_error 0.89777 relative_absolute_error 0.989373 relative_absolute_error 1.176761 relative_absolute_error 0.749272 relative_absolute_error 0.934496 relative_absolute_error 0.782984 relative_absolute_error 1.070595 relative_absolute_error 0.92387 relative_absolute_error 0.968731 relative_absolute_error 0.686927 relative_absolute_error 0.943526 relative_absolute_error 0.983154 relative_absolute_error 1.040994 relative_absolute_error 0.826645 relative_absolute_error 0.868332 relative_absolute_error 0.936228 relative_absolute_error 0.879665 relative_absolute_error 1.175715 relative_absolute_error 0.795548 relative_absolute_error 0.781615 relative_absolute_error 0.854496 relative_absolute_error 0.921012 relative_absolute_error 1.006009 relative_absolute_error 0.914016 relative_absolute_error 0.912505 relative_absolute_error 0.832017 relative_absolute_error 0.895349 relative_absolute_error 0.858743 relative_absolute_error 1.039653 relative_absolute_error 0.670242 relative_absolute_error 1.050014 relative_absolute_error 1.037354 relative_absolute_error 1.081298 relative_absolute_error 1.075174 relative_absolute_error 0.878563 relative_absolute_error 0.768908 relative_absolute_error 1.191958 relative_absolute_error 0.994904 relative_absolute_error 1.250301 relative_absolute_error 1.089667 relative_absolute_error 0.97885 relative_absolute_error 1.045865 relative_absolute_error 0.937773 relative_absolute_error 0.972104 relative_absolute_error 0.968033 relative_absolute_error 1.048524 relative_absolute_error 0.848129 relative_absolute_error 1.093674 relative_absolute_error 1.123277 relative_absolute_error 0.839308 relative_absolute_error 0.932152 relative_absolute_error 0.968965 relative_absolute_error 1.006817 relative_absolute_error 0.973763 relative_absolute_error 1.065836 relative_absolute_error 0.893909 relative_absolute_error 1.104947 relative_absolute_error 1.269776 relative_absolute_error 0.944478 relative_absolute_error 1.084087 relative_absolute_error 1.11385 relative_absolute_error 1.131758 relative_absolute_error 1.058824 relative_absolute_error 1.015324 relative_absolute_error 1.02576 relative_absolute_error 0.812911 relative_absolute_error 1.101769 relative_absolute_error 1.32477 relative_absolute_error 1.279078 relative_absolute_error 0.976377 relative_absolute_error 0.705565 relative_absolute_error 0.964547 relative_absolute_error 0.95345 relative_absolute_error 1.024978 relative_absolute_error 0.952281 relative_absolute_error 1.144057 relative_absolute_error 0.851239 relative_absolute_error 0.977594 relative_absolute_error 0.921493 relative_absolute_error 0.952571 relative_absolute_error 0.917494 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 0.432117 root_mean_squared_error 0.468225 root_mean_squared_error 0.482561 root_mean_squared_error 0.439547 root_mean_squared_error 0.486284 root_mean_squared_error 0.449791 root_mean_squared_error 0.688668 root_mean_squared_error 0.583938 root_mean_squared_error 0.327953 root_mean_squared_error 0.521025 root_mean_squared_error 0.517288 root_mean_squared_error 0.499553 root_mean_squared_error 0.43622 root_mean_squared_error 0.561513 root_mean_squared_error 0.436503 root_mean_squared_error 0.555959 root_mean_squared_error 0.433979 root_mean_squared_error 0.528826 root_mean_squared_error 0.512093 root_mean_squared_error 0.470208 root_mean_squared_error 0.476538 root_mean_squared_error 0.568728 root_mean_squared_error 0.385846 root_mean_squared_error 0.466647 root_mean_squared_error 0.388071 root_mean_squared_error 0.51593 root_mean_squared_error 0.426641 root_mean_squared_error 0.468422 root_mean_squared_error 0.375882 root_mean_squared_error 0.463387 root_mean_squared_error 0.47241 root_mean_squared_error 0.492503 root_mean_squared_error 0.408052 root_mean_squared_error 0.449462 root_mean_squared_error 0.463409 root_mean_squared_error 0.410344 root_mean_squared_error 0.552412 root_mean_squared_error 0.38632 root_mean_squared_error 0.432663 root_mean_squared_error 0.439686 root_mean_squared_error 0.44418 root_mean_squared_error 0.478748 root_mean_squared_error 0.467585 root_mean_squared_error 0.481179 root_mean_squared_error 0.409745 root_mean_squared_error 0.437424 root_mean_squared_error 0.403932 root_mean_squared_error 0.487855 root_mean_squared_error 0.353889 root_mean_squared_error 0.480809 root_mean_squared_error 0.484943 root_mean_squared_error 0.50943 root_mean_squared_error 0.513573 root_mean_squared_error 0.425718 root_mean_squared_error 0.400944 root_mean_squared_error 0.557608 root_mean_squared_error 0.494742 root_mean_squared_error 0.611396 root_mean_squared_error 0.530656 root_mean_squared_error 0.471103 root_mean_squared_error 0.482848 root_mean_squared_error 0.477824 root_mean_squared_error 0.485282 root_mean_squared_error 0.549103 root_mean_squared_error 0.524002 root_mean_squared_error 0.399777 root_mean_squared_error 0.505974 root_mean_squared_error 0.526473 root_mean_squared_error 0.421664 root_mean_squared_error 0.488415 root_mean_squared_error 0.450933 root_mean_squared_error 0.472089 root_mean_squared_error 0.507245 root_mean_squared_error 0.52174 root_mean_squared_error 0.441262 root_mean_squared_error 0.51758 root_mean_squared_error 0.61894 root_mean_squared_error 0.435862 root_mean_squared_error 0.510069 root_mean_squared_error 0.548745 root_mean_squared_error 0.536283 root_mean_squared_error 0.49703 root_mean_squared_error 0.49156 root_mean_squared_error 0.526122 root_mean_squared_error 0.409364 root_mean_squared_error 0.518202 root_mean_squared_error 0.615358 root_mean_squared_error 0.600839 root_mean_squared_error 0.484693 root_mean_squared_error 0.342511 root_mean_squared_error 0.441044 root_mean_squared_error 0.470713 root_mean_squared_error 0.574172 root_mean_squared_error 0.50031 root_mean_squared_error 0.631267 root_mean_squared_error 0.400129 root_mean_squared_error 0.481828 root_mean_squared_error 0.433574 root_mean_squared_error 0.52258 root_mean_squared_error 0.49516 root_relative_squared_error 0.829963 root_relative_squared_error 0.899317 root_relative_squared_error 1.022603 root_relative_squared_error 0.93145 root_relative_squared_error 1.030492 root_relative_squared_error 0.863911 root_relative_squared_error 1.32272 root_relative_squared_error 1.121565 root_relative_squared_error 0.694972 root_relative_squared_error 1.104112 root_relative_squared_error 1.096194 root_relative_squared_error 1.05861 root_relative_squared_error 0.924401 root_relative_squared_error 1.189911 root_relative_squared_error 0.925001 root_relative_squared_error 1.178142 root_relative_squared_error 0.919653 root_relative_squared_error 1.120644 root_relative_squared_error 1.085184 root_relative_squared_error 0.996426 root_relative_squared_error 1.00984 root_relative_squared_error 1.2052 root_relative_squared_error 0.817652 root_relative_squared_error 0.98888 root_relative_squared_error 0.822368 root_relative_squared_error 1.093315 root_relative_squared_error 0.904102 root_relative_squared_error 0.99264 root_relative_squared_error 0.796538 root_relative_squared_error 0.981971 root_relative_squared_error 1.001091 root_relative_squared_error 1.04367 root_relative_squared_error 0.86471 root_relative_squared_error 0.952462 root_relative_squared_error 0.982017 root_relative_squared_error 0.869567 root_relative_squared_error 1.170625 root_relative_squared_error 0.818657 root_relative_squared_error 0.916863 root_relative_squared_error 0.931746 root_relative_squared_error 0.941268 root_relative_squared_error 1.014522 root_relative_squared_error 0.990867 root_relative_squared_error 1.019674 root_relative_squared_error 0.868297 root_relative_squared_error 0.926953 root_relative_squared_error 0.855979 root_relative_squared_error 1.033822 root_relative_squared_error 0.749931 root_relative_squared_error 1.01889 root_relative_squared_error 1.027652 root_relative_squared_error 1.079541 root_relative_squared_error 1.088321 root_relative_squared_error 0.902146 root_relative_squared_error 0.849646 root_relative_squared_error 1.181636 root_relative_squared_error 1.048417 root_relative_squared_error 1.295619 root_relative_squared_error 1.124521 root_relative_squared_error 0.998322 root_relative_squared_error 1.023212 root_relative_squared_error 1.012566 root_relative_squared_error 1.028369 root_relative_squared_error 1.163613 root_relative_squared_error 1.110422 root_relative_squared_error 0.847174 root_relative_squared_error 1.072219 root_relative_squared_error 1.115658 root_relative_squared_error 0.893554 root_relative_squared_error 1.035007 root_relative_squared_error 0.955579 root_relative_squared_error 1.000412 root_relative_squared_error 1.07491 root_relative_squared_error 1.105628 root_relative_squared_error 0.935086 root_relative_squared_error 1.096813 root_relative_squared_error 1.311606 root_relative_squared_error 0.923642 root_relative_squared_error 1.080896 root_relative_squared_error 1.162855 root_relative_squared_error 1.136446 root_relative_squared_error 1.053264 root_relative_squared_error 1.041673 root_relative_squared_error 1.114913 root_relative_squared_error 0.86749 root_relative_squared_error 1.09813 root_relative_squared_error 1.304015 root_relative_squared_error 1.273248 root_relative_squared_error 1.027121 root_relative_squared_error 0.72582 root_relative_squared_error 0.934623 root_relative_squared_error 0.997495 root_relative_squared_error 1.102807 root_relative_squared_error 0.960941 root_relative_squared_error 1.21247 root_relative_squared_error 0.847921 root_relative_squared_error 1.021049 root_relative_squared_error 0.918793 root_relative_squared_error 1.003716 root_relative_squared_error 0.951051 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 860 usercpu_time_millis 800 usercpu_time_millis 760 usercpu_time_millis 780 usercpu_time_millis 710 usercpu_time_millis 760 usercpu_time_millis 790 usercpu_time_millis 760 usercpu_time_millis 760 usercpu_time_millis 730 usercpu_time_millis 770 usercpu_time_millis 810 usercpu_time_millis 790 usercpu_time_millis 760 usercpu_time_millis 690 usercpu_time_millis 780 usercpu_time_millis 790 usercpu_time_millis 760 usercpu_time_millis 740 usercpu_time_millis 800 usercpu_time_millis 810 usercpu_time_millis 830 usercpu_time_millis 780 usercpu_time_millis 970 usercpu_time_millis 710 usercpu_time_millis 750 usercpu_time_millis 810 usercpu_time_millis 790 usercpu_time_millis 730 usercpu_time_millis 770 usercpu_time_millis 840 usercpu_time_millis 820 usercpu_time_millis 760 usercpu_time_millis 750 usercpu_time_millis 740 usercpu_time_millis 800 usercpu_time_millis 760 usercpu_time_millis 770 usercpu_time_millis 700 usercpu_time_millis 750 usercpu_time_millis 820 usercpu_time_millis 830 usercpu_time_millis 770 usercpu_time_millis 800 usercpu_time_millis 750 usercpu_time_millis 780 usercpu_time_millis 780 usercpu_time_millis 760 usercpu_time_millis 730 usercpu_time_millis 740 usercpu_time_millis 830 usercpu_time_millis 830 usercpu_time_millis 750 usercpu_time_millis 750 usercpu_time_millis 760 usercpu_time_millis 740 usercpu_time_millis 770 usercpu_time_millis 760 usercpu_time_millis 700 usercpu_time_millis 740 usercpu_time_millis 820 usercpu_time_millis 810 usercpu_time_millis 730 usercpu_time_millis 760 usercpu_time_millis 730 usercpu_time_millis 790 usercpu_time_millis 770 usercpu_time_millis 810 usercpu_time_millis 940 usercpu_time_millis 730 usercpu_time_millis 870 usercpu_time_millis 790 usercpu_time_millis 780 usercpu_time_millis 760 usercpu_time_millis 750 usercpu_time_millis 770 usercpu_time_millis 720 usercpu_time_millis 800 usercpu_time_millis 750 usercpu_time_millis 750 usercpu_time_millis 830 usercpu_time_millis 780 usercpu_time_millis 800 usercpu_time_millis 760 usercpu_time_millis 740 usercpu_time_millis 780 usercpu_time_millis 760 usercpu_time_millis 780 usercpu_time_millis 780 usercpu_time_millis 740 usercpu_time_millis 800 usercpu_time_millis 790 usercpu_time_millis 790 usercpu_time_millis 770 usercpu_time_millis 710 usercpu_time_millis 770 usercpu_time_millis 770 usercpu_time_millis 800 usercpu_time_millis 750 usercpu_time_millis 720 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 860 usercpu_time_millis_training 800 usercpu_time_millis_training 760 usercpu_time_millis_training 780 usercpu_time_millis_training 710 usercpu_time_millis_training 760 usercpu_time_millis_training 790 usercpu_time_millis_training 760 usercpu_time_millis_training 760 usercpu_time_millis_training 730 usercpu_time_millis_training 770 usercpu_time_millis_training 810 usercpu_time_millis_training 790 usercpu_time_millis_training 760 usercpu_time_millis_training 690 usercpu_time_millis_training 780 usercpu_time_millis_training 790 usercpu_time_millis_training 760 usercpu_time_millis_training 740 usercpu_time_millis_training 800 usercpu_time_millis_training 810 usercpu_time_millis_training 830 usercpu_time_millis_training 780 usercpu_time_millis_training 970 usercpu_time_millis_training 710 usercpu_time_millis_training 750 usercpu_time_millis_training 810 usercpu_time_millis_training 790 usercpu_time_millis_training 730 usercpu_time_millis_training 770 usercpu_time_millis_training 840 usercpu_time_millis_training 820 usercpu_time_millis_training 760 usercpu_time_millis_training 750 usercpu_time_millis_training 740 usercpu_time_millis_training 800 usercpu_time_millis_training 760 usercpu_time_millis_training 770 usercpu_time_millis_training 700 usercpu_time_millis_training 750 usercpu_time_millis_training 820 usercpu_time_millis_training 830 usercpu_time_millis_training 770 usercpu_time_millis_training 800 usercpu_time_millis_training 750 usercpu_time_millis_training 780 usercpu_time_millis_training 780 usercpu_time_millis_training 760 usercpu_time_millis_training 730 usercpu_time_millis_training 740 usercpu_time_millis_training 830 usercpu_time_millis_training 830 usercpu_time_millis_training 750 usercpu_time_millis_training 750 usercpu_time_millis_training 760 usercpu_time_millis_training 740 usercpu_time_millis_training 770 usercpu_time_millis_training 760 usercpu_time_millis_training 700 usercpu_time_millis_training 740 usercpu_time_millis_training 820 usercpu_time_millis_training 810 usercpu_time_millis_training 730 usercpu_time_millis_training 760 usercpu_time_millis_training 730 usercpu_time_millis_training 790 usercpu_time_millis_training 770 usercpu_time_millis_training 810 usercpu_time_millis_training 940 usercpu_time_millis_training 730 usercpu_time_millis_training 870 usercpu_time_millis_training 790 usercpu_time_millis_training 780 usercpu_time_millis_training 760 usercpu_time_millis_training 750 usercpu_time_millis_training 770 usercpu_time_millis_training 720 usercpu_time_millis_training 800 usercpu_time_millis_training 750 usercpu_time_millis_training 750 usercpu_time_millis_training 830 usercpu_time_millis_training 780 usercpu_time_millis_training 800 usercpu_time_millis_training 760 usercpu_time_millis_training 740 usercpu_time_millis_training 780 usercpu_time_millis_training 760 usercpu_time_millis_training 780 usercpu_time_millis_training 780 usercpu_time_millis_training 740 usercpu_time_millis_training 800 usercpu_time_millis_training 790 usercpu_time_millis_training 790 usercpu_time_millis_training 770 usercpu_time_millis_training 710 usercpu_time_millis_training 770 usercpu_time_millis_training 770 usercpu_time_millis_training 800 usercpu_time_millis_training 750 usercpu_time_millis_training 720