396351 2 Joaquin Vanschoren 4654 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 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1386285 description https://api.openml.org/data/download/1386285/weka_generated_run6237376279622394091.xml -1 1386288 model_readable https://api.openml.org/data/download/1386288/WekaModel_weka.classifiers.functions.LibSVM3880468627110003190.model -1 1386287 model_serialized https://api.openml.org/data/download/1386287/WekaSerialized_weka.classifiers.functions.LibSVM6629969991618708334.model -1 1386286 predictions https://api.openml.org/data/download/1386286/weka_generated_predictions898386220557495050.arff area_under_roc_curve 0.851123 [0.829342,0.87496,0.848728] average_cost 0 f_measure 0.801234 [0.769074,0.830375,0.803519] kappa 0.701968 kb_relative_information_score 1099.096175 mean_absolute_error 0.13245 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.801406 [0.766734,0.819066,0.817097] predictive_accuracy 0.801325 prior_entropy 1.584538 recall 0.801325 [0.771429,0.842,0.790385] relative_absolute_error 0.298103 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.363937 root_relative_squared_error 0.772146 scimark_benchmark 952.468245 [567.2327196592638, 1014.7209476623404, 518.7158737333432, 911.8052173913044, 1749.8664669073971] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 10 usercpu_time_millis_training 10 area_under_roc_curve 0.763636 [0.709091,0.854545,0.733333] area_under_roc_curve 0.813636 [0.809091,0.854545,0.783333] area_under_roc_curve 0.768182 [0.809091,0.809091,0.7] area_under_roc_curve 0.954545 [0.954545,0.9,1] area_under_roc_curve 0.722727 [0.709091,0.663636,0.783333] area_under_roc_curve 0.863636 [0.809091,0.854545,0.916667] area_under_roc_curve 0.763636 [0.854545,0.709091,0.733333] area_under_roc_curve 0.863636 [0.809091,0.954545,0.833333] area_under_roc_curve 0.954545 [0.9,0.954545,1] area_under_roc_curve 0.904545 [0.954545,0.8,0.95] area_under_roc_curve 0.85 [0.8,1,0.75] area_under_roc_curve 0.954545 [0.954545,1,0.916667] area_under_roc_curve 0.758081 [0.863636,0.65,0.777778] area_under_roc_curve 0.808081 [0.738636,0.9,0.777778] area_under_roc_curve 0.844444 [0.875,0.9,0.777778] area_under_roc_curve 0.8 [0.8,0.8,0.8] area_under_roc_curve 0.944444 [1,0.9,0.944444] area_under_roc_curve 0.75 [0.6,0.9,0.75] area_under_roc_curve 0.8 [0.7,0.8,0.9] area_under_roc_curve 0.809091 [0.909091,0.7,0.833333] area_under_roc_curve 0.9 [1,0.9,0.8] area_under_roc_curve 0.95 [0.9,0.95,1] area_under_roc_curve 0.8 [0.75,0.9,0.75] area_under_roc_curve 0.85 [0.85,0.95,0.75] area_under_roc_curve 0.9 [1,0.8,0.9] area_under_roc_curve 0.85 [0.95,0.8,0.8] area_under_roc_curve 0.8 [0.75,0.8,0.85] area_under_roc_curve 0.9 [0.8,1,0.9] area_under_roc_curve 0.85 [0.9,0.85,0.8] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.95 [0.9,1,0.95] area_under_roc_curve 0.85 [0.75,0.95,0.85] area_under_roc_curve 0.8 [0.75,0.75,0.9] area_under_roc_curve 0.9 [0.8,0.95,0.95] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.85 [0.8,0.9,0.85] area_under_roc_curve 0.9 [0.95,0.95,0.8] area_under_roc_curve 0.85 [0.8,1,0.75] area_under_roc_curve 0.8 [0.8,0.85,0.75] area_under_roc_curve 0.75 [0.8,0.65,0.8] area_under_roc_curve 0.85 [0.85,0.9,0.8] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.85 [0.7,0.95,0.9] area_under_roc_curve 0.85 [0.8,0.9,0.85] area_under_roc_curve 0.85 [0.75,0.85,0.95] area_under_roc_curve 0.8 [0.8,0.9,0.7] area_under_roc_curve 0.8 [0.8,0.65,0.95] area_under_roc_curve 0.95 [0.95,1,0.9] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.85 [0.9,0.85,0.8] area_under_roc_curve 0.85 [0.8,0.9,0.85] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.85 [0.75,0.9,0.9] area_under_roc_curve 0.7 [0.7,0.65,0.75] area_under_roc_curve 0.75 [0.75,0.7,0.8] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.85 [0.85,0.85,0.85] area_under_roc_curve 0.8 [0.75,0.8,0.85] area_under_roc_curve 0.75 [0.7,0.8,0.75] area_under_roc_curve 0.8 [0.75,0.8,0.85] area_under_roc_curve 0.85 [0.75,0.9,0.9] area_under_roc_curve 0.8 [0.75,0.8,0.85] area_under_roc_curve 0.9 [0.9,0.95,0.85] area_under_roc_curve 0.9 [0.9,0.95,0.85] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.95 [0.95,0.9,1] area_under_roc_curve 0.9 [0.9,0.95,0.85] area_under_roc_curve 0.85 [0.85,0.9,0.8] area_under_roc_curve 0.8 [0.75,0.8,0.85] area_under_roc_curve 0.75 [0.75,0.7,0.8] area_under_roc_curve 0.85 [0.85,0.85,0.85] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.95 [0.9,0.95,1] area_under_roc_curve 0.8 [0.75,0.9,0.75] area_under_roc_curve 0.8 [0.7,0.95,0.75] area_under_roc_curve 0.9 [1,0.9,0.8] area_under_roc_curve 0.85 [1,0.8,0.75] area_under_roc_curve 0.85 [0.75,0.9,0.9] area_under_roc_curve 0.9 [0.8,0.95,0.95] area_under_roc_curve 0.8 [0.7,0.9,0.8] area_under_roc_curve 0.9 [0.85,0.9,0.95] area_under_roc_curve 0.95 [1,0.95,0.9] area_under_roc_curve 0.9 [0.85,1,0.85] area_under_roc_curve 0.9 [0.8,1,0.9] area_under_roc_curve 0.9 [0.9,0.9,0.9] area_under_roc_curve 0.8 [0.7,0.85,0.85] area_under_roc_curve 0.75 [0.7,0.7,0.85] area_under_roc_curve 0.85 [0.85,0.85,0.85] area_under_roc_curve 0.89899 [0.954545,0.8,0.944444] area_under_roc_curve 0.8 [0.75,0.85,0.8] area_under_roc_curve 0.85 [0.85,0.85,0.85] area_under_roc_curve 0.85 [0.9,0.85,0.8] area_under_roc_curve 0.8 [0.7,1,0.7] area_under_roc_curve 0.854545 [0.829545,0.9,0.833333] area_under_roc_curve 0.75 [0.75,0.6,0.9] area_under_roc_curve 0.854545 [0.829545,0.9,0.833333] area_under_roc_curve 0.904545 [0.829545,0.95,0.916667] area_under_roc_curve 0.95 [0.9,0.95,1] 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 0.6875 [0.6,0.8,0.666667] f_measure 0.75 [0.727273,0.8,0.727273] f_measure 0.679545 [0.727273,0.727273,0.6] f_measure 0.936869 [0.909091,0.888889,1] f_measure 0.630682 [0.6,0.545455,0.727273] f_measure 0.818182 [0.727273,0.8,0.909091] f_measure 0.6875 [0.8,0.6,0.666667] f_measure 0.811364 [0.727273,0.909091,0.8] f_measure 0.936869 [0.888889,0.909091,1] f_measure 0.86462 [0.909091,0.75,0.923077] f_measure 0.79798 [0.727273,1,0.666667] f_measure 0.934007 [0.888889,1,0.909091] f_measure 0.651515 [0.727273,0.5,0.727273] f_measure 0.747205 [0.6,0.888889,0.727273] f_measure 0.797258 [0.857143,0.833333,0.727273] f_measure 0.734848 [0.75,0.727273,0.727273] f_measure 0.932194 [1,0.888889,0.923077] f_measure 0.666667 [0.444444,0.888889,0.666667] f_measure 0.727778 [0.6,0.75,0.833333] f_measure 0.733333 [0.8,0.6,0.8] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.722222 [0.666667,0.833333,0.666667] f_measure 0.791919 [0.8,0.909091,0.666667] f_measure 0.861111 [1,0.75,0.833333] f_measure 0.795455 [0.909091,0.727273,0.75] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.861111 [0.75,1,0.833333] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 0.866667 [0.8,1,0.8] f_measure 0.866667 [0.8,1,0.8] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.791919 [0.666667,0.909091,0.8] f_measure 0.722222 [0.666667,0.666667,0.833333] f_measure 0.856061 [0.75,0.909091,0.909091] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.79798 [0.727273,1,0.666667] f_measure 0.738889 [0.75,0.8,0.666667] f_measure 0.651515 [0.727273,0.5,0.727273] f_measure 0.794444 [0.8,0.833333,0.75] f_measure 0.87037 [0.833333,0.888889,0.888889] f_measure 0.771284 [0.571429,0.909091,0.833333] f_measure 0.805387 [0.727273,0.888889,0.8] f_measure 0.791919 [0.666667,0.8,0.909091] f_measure 0.724868 [0.714286,0.888889,0.571429] f_measure 0.712121 [0.727273,0.5,0.909091] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.87037 [0.888889,0.888889,0.833333] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.866667 [0.8,1,0.8] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.594017 [0.615385,0.5,0.666667] f_measure 0.662698 [0.666667,0.571429,0.75] f_measure 0.866667 [0.8,1,0.8] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.664646 [0.6,0.727273,0.666667] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.796296 [0.666667,0.888889,0.833333] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.865993 [0.888889,0.909091,0.8] f_measure 0.865993 [0.888889,0.909091,0.8] f_measure 0.87037 [0.888889,0.888889,0.833333] f_measure 0.866667 [0.8,1,0.8] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.865993 [0.888889,0.909091,0.8] f_measure 0.802707 [0.769231,0.888889,0.75] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.672222 [0.666667,0.6,0.75] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.740741 [0.666667,0.888889,0.666667] f_measure 0.725253 [0.6,0.909091,0.666667] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.79798 [1,0.727273,0.666667] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.856061 [0.75,0.909091,0.909091] f_measure 0.724868 [0.571429,0.888889,0.714286] f_measure 0.865993 [0.8,0.888889,0.909091] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.866667 [0.8,1,0.8] f_measure 0.861111 [0.75,1,0.833333] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.713553 [0.571429,0.8,0.769231] f_measure 0.646886 [0.6,0.571429,0.769231] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.856268 [0.888889,0.75,0.923077] f_measure 0.738889 [0.666667,0.8,0.75] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 0.733333 [0.6,1,0.6] f_measure 0.797778 [0.75,0.833333,0.8] f_measure 0.611111 [0.666667,0.333333,0.833333] f_measure 0.797778 [0.75,0.833333,0.8] f_measure 0.866667 [0.75,0.909091,0.909091] f_measure 0.93266 [0.888889,0.909091,1] kappa 0.529412 kappa 0.625731 kappa 0.534884 kappa 0.905882 kappa 0.438596 kappa 0.719298 kappa 0.529412 kappa 0.72093 kappa 0.905882 kappa 0.810651 kappa 0.7 kappa 0.9 kappa 0.506579 kappa 0.602649 kappa 0.695946 kappa 0.6 kappa 0.897959 kappa 0.5 kappa 0.6 kappa 0.605263 kappa 0.8 kappa 0.9 kappa 0.6 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.5 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.7 kappa 0.7 kappa 0.6 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.4 kappa 0.5 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.5 kappa 0.6 kappa 0.7 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.5 kappa 0.7 kappa 0.8 kappa 0.9 kappa 0.6 kappa 0.6 kappa 0.8 kappa 0.7 kappa 0.7 kappa 0.8 kappa 0.6 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.6 kappa 0.5 kappa 0.7 kappa 0.797297 kappa 0.6 kappa 0.7 kappa 0.7 kappa 0.6 kappa 0.7 kappa 0.5 kappa 0.7 kappa 0.798658 kappa 0.9 kb_relative_information_score 9.132991 kb_relative_information_score 10.514641 kb_relative_information_score 9.159394 kb_relative_information_score 14.606786 kb_relative_information_score 7.760574 kb_relative_information_score 11.869889 kb_relative_information_score 9.142224 kb_relative_information_score 11.887058 kb_relative_information_score 14.597553 kb_relative_information_score 13.234369 kb_relative_information_score 10.915882 kb_relative_information_score 13.599727 kb_relative_information_score 8.127227 kb_relative_information_score 9.490412 kb_relative_information_score 10.862829 kb_relative_information_score 9.517062 kb_relative_information_score 13.582557 kb_relative_information_score 8.135412 kb_relative_information_score 9.499892 kb_relative_information_score 9.499645 kb_relative_information_score 12.297532 kb_relative_information_score 13.626377 kb_relative_information_score 9.534232 kb_relative_information_score 10.915882 kb_relative_information_score 12.263193 kb_relative_information_score 10.925115 kb_relative_information_score 9.517062 kb_relative_information_score 12.244727 kb_relative_information_score 10.925115 kb_relative_information_score 12.271129 kb_relative_information_score 12.271129 kb_relative_information_score 13.626377 kb_relative_information_score 10.889479 kb_relative_information_score 9.499892 kb_relative_information_score 12.244727 kb_relative_information_score 12.271129 kb_relative_information_score 10.889479 kb_relative_information_score 12.297532 kb_relative_information_score 10.915882 kb_relative_information_score 9.517062 kb_relative_information_score 8.153878 kb_relative_information_score 10.915882 kb_relative_information_score 12.280362 kb_relative_information_score 10.863076 kb_relative_information_score 10.898712 kb_relative_information_score 10.872309 kb_relative_information_score 9.569867 kb_relative_information_score 9.509125 kb_relative_information_score 13.65278 kb_relative_information_score 12.25396 kb_relative_information_score 10.925115 kb_relative_information_score 10.889479 kb_relative_information_score 12.271129 kb_relative_information_score 10.889479 kb_relative_information_score 6.79863 kb_relative_information_score 8.18028 kb_relative_information_score 12.271129 kb_relative_information_score 10.898712 kb_relative_information_score 9.517062 kb_relative_information_score 8.161814 kb_relative_information_score 9.517062 kb_relative_information_score 10.872309 kb_relative_information_score 9.517062 kb_relative_information_score 12.271129 kb_relative_information_score 12.271129 kb_relative_information_score 12.25396 kb_relative_information_score 12.271129 kb_relative_information_score 13.63561 kb_relative_information_score 12.271129 kb_relative_information_score 10.925115 kb_relative_information_score 9.517062 kb_relative_information_score 8.171047 kb_relative_information_score 10.898712 kb_relative_information_score 12.271129 kb_relative_information_score 13.626377 kb_relative_information_score 9.543465 kb_relative_information_score 9.534232 kb_relative_information_score 12.297532 kb_relative_information_score 10.925115 kb_relative_information_score 10.889479 kb_relative_information_score 12.244727 kb_relative_information_score 9.490659 kb_relative_information_score 12.25396 kb_relative_information_score 13.65278 kb_relative_information_score 12.271129 kb_relative_information_score 12.244727 kb_relative_information_score 12.271129 kb_relative_information_score 9.490659 kb_relative_information_score 8.127475 kb_relative_information_score 10.898712 kb_relative_information_score 12.21014 kb_relative_information_score 9.543465 kb_relative_information_score 10.898712 kb_relative_information_score 10.925115 kb_relative_information_score 9.534232 kb_relative_information_score 10.862829 kb_relative_information_score 8.136708 kb_relative_information_score 10.862829 kb_relative_information_score 12.218076 kb_relative_information_score 13.626377 mean_absolute_error 0.208333 mean_absolute_error 0.166667 mean_absolute_error 0.208333 mean_absolute_error 0.041667 mean_absolute_error 0.25 mean_absolute_error 0.125 mean_absolute_error 0.208333 mean_absolute_error 0.125 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.133333 mean_absolute_error 0.044444 mean_absolute_error 0.222222 mean_absolute_error 0.177778 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.044444 mean_absolute_error 0.222222 mean_absolute_error 0.177778 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_absolute_error 0.177778 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.222222 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.133333 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.177778 mean_absolute_error 0.044444 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.266667 mean_absolute_error 0.222222 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.222222 mean_absolute_error 0.177778 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.222222 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_absolute_error 0.177778 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.177778 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0.177778 mean_absolute_error 0.222222 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.177778 mean_absolute_error 0.133333 mean_absolute_error 0.133333 mean_absolute_error 0.177778 mean_absolute_error 0.133333 mean_absolute_error 0.222222 mean_absolute_error 0.133333 mean_absolute_error 0.088889 mean_absolute_error 0.044444 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] precision 0.6875 [0.6,0.8,0.666667] precision 0.758333 [0.666667,0.8,0.8] precision 0.697917 [0.666667,0.666667,0.75] precision 0.947917 [0.833333,1,1] precision 0.64375 [0.6,0.5,0.8] precision 0.833333 [0.666667,0.8,1] precision 0.6875 [0.8,0.6,0.666667] precision 0.84375 [0.666667,0.833333,1] precision 0.947917 [1,0.833333,1] precision 0.894345 [0.833333,1,0.857143] precision 0.805556 [0.666667,1,0.75] precision 0.946667 [0.8,1,1] precision 0.694603 [0.571429,0.666667,0.8] precision 0.786667 [0.5,1,0.8] precision 0.824762 [1,0.714286,0.8] precision 0.777778 [1,0.666667,0.666667] precision 0.942857 [1,1,0.857143] precision 0.690476 [0.5,1,0.571429] precision 0.771429 [0.6,1,0.714286] precision 0.777778 [0.666667,0.6,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,0.833333,1] precision 0.738095 [0.75,0.714286,0.75] precision 0.794444 [0.8,0.833333,0.75] precision 0.904762 [1,1,0.714286] precision 0.833333 [0.833333,0.666667,1] precision 0.738889 [0.75,0.666667,0.8] precision 0.904762 [1,1,0.714286] precision 0.838095 [0.714286,0.8,1] precision 0.866667 [0.8,1,0.8] precision 0.866667 [0.8,1,0.8] precision 0.944444 [1,1,0.833333] precision 0.794444 [0.75,0.833333,0.8] precision 0.738095 [0.75,0.75,0.714286] precision 0.888889 [1,0.833333,0.833333] precision 0.904762 [1,0.714286,1] precision 0.838095 [1,0.714286,0.8] precision 0.888889 [0.833333,0.833333,1] precision 0.805556 [0.666667,1,0.75] precision 0.790476 [1,0.8,0.571429] precision 0.666667 [0.666667,0.666667,0.666667] precision 0.838095 [0.8,0.714286,1] precision 0.904762 [0.714286,1,1] precision 0.849206 [1,0.833333,0.714286] precision 0.822222 [0.666667,1,0.8] precision 0.794444 [0.75,0.8,0.833333] precision 0.851852 [0.555556,1,1] precision 0.722222 [0.666667,0.666667,0.833333] precision 0.944444 [0.833333,1,1] precision 0.904762 [1,1,0.714286] precision 0.838095 [0.714286,0.8,1] precision 0.838095 [1,0.714286,0.8] precision 0.866667 [0.8,1,0.8] precision 0.821429 [0.75,0.714286,1] precision 0.638889 [0.5,0.666667,0.75] precision 0.833333 [0.5,1,1] precision 0.866667 [0.8,1,0.8] precision 0.8 [0.8,0.8,0.8] precision 0.738889 [0.75,0.666667,0.8] precision 0.672222 [0.6,0.666667,0.75] precision 0.738889 [0.75,0.666667,0.8] precision 0.821429 [0.75,1,0.714286] precision 0.738889 [0.75,0.666667,0.8] precision 0.877778 [1,0.833333,0.8] precision 0.877778 [1,0.833333,0.8] precision 0.904762 [1,1,0.714286] precision 0.866667 [0.8,1,0.8] precision 0.944444 [0.833333,1,1] precision 0.877778 [1,0.833333,0.8] precision 0.875 [0.625,1,1] precision 0.738889 [0.75,0.666667,0.8] precision 0.72381 [0.571429,0.6,1] precision 0.8 [0.8,0.8,0.8] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,0.833333,1] precision 0.77381 [0.571429,1,0.75] precision 0.727778 [0.6,0.833333,0.75] precision 0.904762 [1,0.714286,1] precision 0.805556 [1,0.666667,0.75] precision 0.821429 [0.75,0.714286,1] precision 0.888889 [1,0.833333,0.833333] precision 0.851852 [1,1,0.555556] precision 0.877778 [0.8,1,0.833333] precision 0.944444 [1,0.833333,1] precision 0.866667 [0.8,1,0.8] precision 0.904762 [1,1,0.714286] precision 0.904762 [1,0.714286,1] precision 0.808333 [1,0.8,0.625] precision 0.741667 [0.6,1,0.625] precision 0.8 [0.8,0.8,0.8] precision 0.889524 [0.8,1,0.857143] precision 0.790476 [0.571429,0.8,1] precision 0.8 [0.8,0.8,0.8] precision 0.838095 [0.714286,0.8,1] precision 0.733333 [0.6,1,0.6] precision 0.838095 [0.75,0.714286,1] precision 0.761905 [0.571429,1,0.714286] precision 0.838095 [0.75,0.714286,1] precision 0.877778 [0.75,0.833333,1] precision 0.944444 [1,0.833333,1] predictive_accuracy 0.6875 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.9375 predictive_accuracy 0.625 predictive_accuracy 0.8125 predictive_accuracy 0.6875 predictive_accuracy 0.8125 predictive_accuracy 0.9375 predictive_accuracy 0.875 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 recall 0.6875 [0.6,0.8,0.666667] recall 0.75 [0.8,0.8,0.666667] recall 0.6875 [0.8,0.8,0.5] recall 0.9375 [1,0.8,1] recall 0.625 [0.6,0.6,0.666667] recall 0.8125 [0.8,0.8,0.833333] recall 0.6875 [0.8,0.6,0.666667] recall 0.8125 [0.8,1,0.666667] recall 0.9375 [0.8,1,1] recall 0.875 [1,0.6,1] recall 0.8 [0.8,1,0.6] recall 0.933333 [1,1,0.833333] recall 0.666667 [1,0.4,0.666667] recall 0.733333 [0.75,0.8,0.666667] recall 0.8 [0.75,1,0.666667] recall 0.733333 [0.6,0.8,0.8] recall 0.933333 [1,0.8,1] recall 0.666667 [0.4,0.8,0.8] recall 0.733333 [0.6,0.6,1] recall 0.733333 [1,0.6,0.666667] recall 0.866667 [1,1,0.6] recall 0.933333 [0.8,1,1] recall 0.733333 [0.6,1,0.6] recall 0.8 [0.8,1,0.6] recall 0.866667 [1,0.6,1] recall 0.8 [1,0.8,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.866667 [0.6,1,1] recall 0.8 [1,0.8,0.6] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [0.8,1,1] recall 0.8 [0.6,1,0.8] recall 0.733333 [0.6,0.6,1] recall 0.866667 [0.6,1,1] recall 0.866667 [0.8,1,0.8] recall 0.8 [0.6,1,0.8] recall 0.866667 [1,1,0.6] recall 0.8 [0.8,1,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.666667 [0.8,0.4,0.8] recall 0.8 [0.8,1,0.6] recall 0.866667 [1,0.8,0.8] recall 0.8 [0.4,1,1] recall 0.8 [0.8,0.8,0.8] recall 0.8 [0.6,0.8,1] recall 0.733333 [1,0.8,0.4] recall 0.733333 [0.8,0.4,1] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,0.8,1] recall 0.8 [1,0.8,0.6] recall 0.8 [0.6,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.8 [0.6,1,0.8] recall 0.6 [0.8,0.4,0.6] recall 0.666667 [1,0.4,0.6] recall 0.866667 [0.8,1,0.8] recall 0.8 [0.8,0.8,0.8] recall 0.733333 [0.6,0.8,0.8] recall 0.666667 [0.6,0.8,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.8 [0.6,0.8,1] recall 0.733333 [0.6,0.8,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,0.8,1] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,0.8,1] recall 0.866667 [0.8,1,0.8] recall 0.8 [1,0.8,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.666667 [0.8,0.6,0.6] recall 0.8 [0.8,0.8,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [0.8,1,1] recall 0.733333 [0.8,0.8,0.6] recall 0.733333 [0.6,1,0.6] recall 0.866667 [1,1,0.6] recall 0.8 [1,0.8,0.6] recall 0.8 [0.6,1,0.8] recall 0.866667 [0.6,1,1] recall 0.733333 [0.4,0.8,1] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.6,1,1] recall 0.866667 [0.8,1,0.8] recall 0.733333 [0.4,0.8,1] recall 0.666667 [0.6,0.4,1] recall 0.8 [0.8,0.8,0.8] recall 0.866667 [1,0.6,1] recall 0.733333 [0.8,0.8,0.6] recall 0.8 [0.8,0.8,0.8] recall 0.8 [1,0.8,0.6] recall 0.733333 [0.6,1,0.6] recall 0.8 [0.75,1,0.666667] recall 0.666667 [0.8,0.2,1] recall 0.8 [0.75,1,0.666667] recall 0.866667 [0.75,1,0.833333] recall 0.933333 [0.8,1,1] relative_absolute_error 0.469226 relative_absolute_error 0.375381 relative_absolute_error 0.469226 relative_absolute_error 0.093845 relative_absolute_error 0.563071 relative_absolute_error 0.281536 relative_absolute_error 0.469226 relative_absolute_error 0.281536 relative_absolute_error 0.093845 relative_absolute_error 0.18769 relative_absolute_error 0.3 relative_absolute_error 0.100195 relative_absolute_error 0.500976 relative_absolute_error 0.400781 relative_absolute_error 0.300586 relative_absolute_error 0.4 relative_absolute_error 0.100195 relative_absolute_error 0.5 relative_absolute_error 0.4 relative_absolute_error 0.400781 relative_absolute_error 0.2 relative_absolute_error 0.1 relative_absolute_error 0.4 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.1 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.5 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.3 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.4 relative_absolute_error 0.1 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.6 relative_absolute_error 0.5 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.5 relative_absolute_error 0.4 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.1 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.5 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.1 relative_absolute_error 0.4 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.3 relative_absolute_error 0.3 relative_absolute_error 0.2 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.1 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0.4 relative_absolute_error 0.5 relative_absolute_error 0.3 relative_absolute_error 0.20039 relative_absolute_error 0.4 relative_absolute_error 0.3 relative_absolute_error 0.3 relative_absolute_error 0.4 relative_absolute_error 0.300586 relative_absolute_error 0.5 relative_absolute_error 0.300586 relative_absolute_error 0.20039 relative_absolute_error 0.1 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_squared_error 0.456435 root_mean_squared_error 0.408248 root_mean_squared_error 0.456435 root_mean_squared_error 0.204124 root_mean_squared_error 0.5 root_mean_squared_error 0.353553 root_mean_squared_error 0.456435 root_mean_squared_error 0.353553 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.365148 root_mean_squared_error 0.210819 root_mean_squared_error 0.471405 root_mean_squared_error 0.421637 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.210819 root_mean_squared_error 0.471405 root_mean_squared_error 0.421637 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_mean_squared_error 0.421637 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.471405 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.365148 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.421637 root_mean_squared_error 0.210819 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.516398 root_mean_squared_error 0.471405 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.471405 root_mean_squared_error 0.421637 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.471405 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_mean_squared_error 0.421637 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.365148 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.421637 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0.421637 root_mean_squared_error 0.471405 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.421637 root_mean_squared_error 0.365148 root_mean_squared_error 0.365148 root_mean_squared_error 0.421637 root_mean_squared_error 0.365148 root_mean_squared_error 0.471405 root_mean_squared_error 0.365148 root_mean_squared_error 0.298142 root_mean_squared_error 0.210819 root_relative_squared_error 0.969086 root_relative_squared_error 0.866777 root_relative_squared_error 0.969086 root_relative_squared_error 0.433389 root_relative_squared_error 1.061581 root_relative_squared_error 0.750651 root_relative_squared_error 0.969086 root_relative_squared_error 0.750651 root_relative_squared_error 0.433389 root_relative_squared_error 0.612904 root_relative_squared_error 0.774482 root_relative_squared_error 0.448021 root_relative_squared_error 1.001805 root_relative_squared_error 0.896042 root_relative_squared_error 0.775995 root_relative_squared_error 0.894295 root_relative_squared_error 0.448021 root_relative_squared_error 0.999852 root_relative_squared_error 0.894295 root_relative_squared_error 0.896042 root_relative_squared_error 0.632362 root_relative_squared_error 0.447148 root_relative_squared_error 0.894295 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.447148 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.999852 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.774482 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.894295 root_relative_squared_error 0.447148 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 1.095283 root_relative_squared_error 0.999852 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.999852 root_relative_squared_error 0.894295 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.447148 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.999852 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.447148 root_relative_squared_error 0.894295 root_relative_squared_error 0.894295 root_relative_squared_error 0.632362 root_relative_squared_error 0.774482 root_relative_squared_error 0.774482 root_relative_squared_error 0.632362 root_relative_squared_error 0.894295 root_relative_squared_error 0.632362 root_relative_squared_error 0.447148 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.632362 root_relative_squared_error 0.894295 root_relative_squared_error 0.999852 root_relative_squared_error 0.774482 root_relative_squared_error 0.633597 root_relative_squared_error 0.894295 root_relative_squared_error 0.774482 root_relative_squared_error 0.774482 root_relative_squared_error 0.894295 root_relative_squared_error 0.775995 root_relative_squared_error 0.999852 root_relative_squared_error 0.775995 root_relative_squared_error 0.633597 root_relative_squared_error 0.447148 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 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 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 10 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 10 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 10 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 10 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 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10