336061 2 Joaquin Vanschoren 4421 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_3.7.12 851 tecator https://www.openml.org/data/download/53385/tecator.arff -1 1151992 description https://api.openml.org/data/download/1151992/weka_generated_run567961338347414001.xml -1 1151995 model_readable https://api.openml.org/data/download/1151995/WekaModel_weka.classifiers.functions.LibSVM3740562823269737264.model -1 1151994 model_serialized https://api.openml.org/data/download/1151994/WekaSerialized_weka.classifiers.functions.LibSVM4015212242567929195.model -1 1151993 predictions https://api.openml.org/data/download/1151993/weka_generated_predictions4787858345932272944.arff area_under_roc_curve 0.916368 [0.916368,0.916368] average_cost 0 f_measure 0.917561 [0.903509,0.927948] kappa 0.831461 kb_relative_information_score 1990.401477 mean_absolute_error 0.0825 mean_prior_absolute_error 0.488843 number_of_instances 2400 [1020,1380] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.917669 [0.898256,0.932018] predictive_accuracy 0.9175 prior_entropy 0.983977 recall 0.9175 [0.908824,0.923913] relative_absolute_error 0.168766 root_mean_prior_squared_error 0.494343 root_mean_squared_error 0.287228 root_relative_squared_error 0.58103 scimark_benchmark 1342.233172 [812.7868222876872, 972.7182958060093, 532.6100231796423, 1057.8854232011688, 3335.165297282601] total_cost 0 usercpu_time_millis 160 usercpu_time_millis_testing 80 usercpu_time_millis_training 80 area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.916084 [0.916084,0.916084] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.842857 [0.842857,0.842857] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.842857 [0.842857,0.842857] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.964286 [0.964286,0.964286] area_under_roc_curve 0.914286 [0.914286,0.914286] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.728571 [0.728571,0.728571] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.778571 [0.778571,0.778571] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 0.878571 [0.878571,0.878571] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.877622 [0.877622,0.877622] area_under_roc_curve 0.793706 [0.793706,0.793706] area_under_roc_curve 0.832168 [0.832168,0.832168] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.916084 [0.916084,0.916084] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.916084 [0.916084,0.916084] area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.877622 [0.877622,0.877622] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.923077 [0.923077,0.923077] area_under_roc_curve 0.964286 [0.964286,0.964286] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.958113 [0.952381,0.962963] f_measure 0.957955 [0.947368,0.965517] f_measure 0.82963 [0.777778,0.866667] f_measure 0.916667 [0.9,0.928571] f_measure 0.958554 [0.952381,0.962963] f_measure 1 [1,1] f_measure 0.916667 [0.9,0.928571] f_measure 0.875661 [0.857143,0.888889] f_measure 0.914815 [0.888889,0.933333] f_measure 0.958113 [0.952381,0.962963] f_measure 0.916667 [0.909091,0.923077] f_measure 1 [1,1] f_measure 0.916667 [0.9,0.928571] f_measure 1 [1,1] f_measure 0.957955 [0.947368,0.965517] f_measure 0.875661 [0.857143,0.888889] f_measure 0.916667 [0.9,0.928571] f_measure 0.833333 [0.8,0.857143] f_measure 0.916667 [0.9,0.928571] f_measure 0.958406 [0.956522,0.96] f_measure 0.916667 [0.9,0.928571] f_measure 0.875661 [0.857143,0.888889] f_measure 0.917249 [0.909091,0.923077] f_measure 0.917249 [0.909091,0.923077] f_measure 1 [1,1] f_measure 0.834499 [0.818182,0.846154] f_measure 0.957955 [0.947368,0.965517] f_measure 0.916667 [0.9,0.928571] f_measure 0.958554 [0.952381,0.962963] f_measure 0.873866 [0.842105,0.896552] f_measure 0.958554 [0.952381,0.962963] f_measure 0.875661 [0.857143,0.888889] f_measure 0.916667 [0.9,0.928571] f_measure 0.957955 [0.947368,0.965517] f_measure 0.833333 [0.8,0.857143] f_measure 1 [1,1] f_measure 0.917249 [0.909091,0.923077] f_measure 1 [1,1] f_measure 0.916667 [0.9,0.928571] f_measure 1 [1,1] f_measure 0.917249 [0.909091,0.923077] f_measure 0.957955 [0.947368,0.965517] f_measure 0.957955 [0.947368,0.965517] f_measure 1 [1,1] f_measure 0.917249 [0.909091,0.923077] f_measure 0.870019 [0.823529,0.903226] f_measure 0.957955 [0.947368,0.965517] f_measure 0.958554 [0.952381,0.962963] f_measure 0.916667 [0.9,0.928571] f_measure 0.875661 [0.857143,0.888889] f_measure 0.958554 [0.952381,0.962963] f_measure 0.875661 [0.857143,0.888889] f_measure 0.834499 [0.818182,0.846154] f_measure 0.914815 [0.888889,0.933333] f_measure 0.916667 [0.9,0.928571] f_measure 0.958554 [0.952381,0.962963] f_measure 0.957955 [0.947368,0.965517] f_measure 1 [1,1] f_measure 0.875661 [0.857143,0.888889] f_measure 0.873866 [0.842105,0.896552] f_measure 0.916667 [0.9,0.928571] f_measure 0.873866 [0.842105,0.896552] f_measure 0.917249 [0.909091,0.923077] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.870019 [0.823529,0.903226] f_measure 0.958554 [0.952381,0.962963] f_measure 0.916667 [0.9,0.928571] f_measure 0.875652 [0.869565,0.88] f_measure 1 [1,1] f_measure 0.875652 [0.869565,0.88] f_measure 0.873866 [0.842105,0.896552] f_measure 1 [1,1] f_measure 0.744444 [0.666667,0.8] f_measure 0.873866 [0.842105,0.896552] f_measure 0.873866 [0.842105,0.896552] f_measure 0.833333 [0.8,0.857143] f_measure 0.789776 [0.736842,0.827586] f_measure 0.875661 [0.857143,0.888889] f_measure 0.875661 [0.857143,0.888889] f_measure 0.875661 [0.857143,0.888889] f_measure 1 [1,1] f_measure 0.875217 [0.869565,0.88] f_measure 0.792029 [0.782609,0.8] f_measure 0.833333 [0.818182,0.846154] f_measure 0.958406 [0.956522,0.96] f_measure 0.915476 [0.9,0.928571] f_measure 0.916667 [0.909091,0.923077] f_measure 0.915476 [0.9,0.928571] f_measure 0.82963 [0.777778,0.866667] f_measure 0.870019 [0.823529,0.903226] f_measure 0.916667 [0.909091,0.923077] f_measure 0.958113 [0.952381,0.962963] f_measure 0.874348 [0.88,0.869565] f_measure 1 [1,1] f_measure 0.875217 [0.869565,0.88] f_measure 0.874348 [0.88,0.869565] f_measure 1 [1,1] f_measure 0.916667 [0.916667,0.916667] f_measure 0.958554 [0.952381,0.962963] kappa 0.915493 kappa 0.913043 kappa 0.647059 kappa 0.828571 kappa 0.915493 kappa 1 kappa 0.828571 kappa 0.746479 kappa 0.823529 kappa 0.915493 kappa 0.832168 kappa 1 kappa 0.828571 kappa 1 kappa 0.913043 kappa 0.746479 kappa 0.828571 kappa 0.657143 kappa 0.828571 kappa 0.916667 kappa 0.828571 kappa 0.746479 kappa 0.833333 kappa 0.833333 kappa 1 kappa 0.666667 kappa 0.913043 kappa 0.828571 kappa 0.915493 kappa 0.73913 kappa 0.915493 kappa 0.746479 kappa 0.828571 kappa 0.913043 kappa 0.657143 kappa 1 kappa 0.833333 kappa 1 kappa 0.828571 kappa 1 kappa 0.833333 kappa 0.913043 kappa 0.913043 kappa 1 kappa 0.833333 kappa 0.731343 kappa 0.913043 kappa 0.915493 kappa 0.828571 kappa 0.746479 kappa 0.915493 kappa 0.746479 kappa 0.666667 kappa 0.823529 kappa 0.828571 kappa 0.915493 kappa 0.913043 kappa 1 kappa 0.746479 kappa 0.73913 kappa 0.828571 kappa 0.73913 kappa 0.833333 kappa 1 kappa 1 kappa 0.731343 kappa 0.915493 kappa 0.828571 kappa 0.753425 kappa 1 kappa 0.753425 kappa 0.73913 kappa 1 kappa 0.470588 kappa 0.73913 kappa 0.73913 kappa 0.657143 kappa 0.565217 kappa 0.746479 kappa 0.746479 kappa 0.746479 kappa 1 kappa 0.75 kappa 0.583333 kappa 0.664336 kappa 0.916667 kappa 0.829787 kappa 0.832168 kappa 0.829787 kappa 0.647059 kappa 0.731343 kappa 0.832168 kappa 0.915493 kappa 0.753425 kappa 1 kappa 0.75 kappa 0.753425 kappa 1 kappa 0.834483 kappa 0.915493 kb_relative_information_score 22.27967 kb_relative_information_score 21.840188 kb_relative_information_score 15.644056 kb_relative_information_score 19.774811 kb_relative_information_score 21.840188 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 22.27967 kb_relative_information_score 20.214293 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 23.905566 kb_relative_information_score 21.840188 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 15.644056 kb_relative_information_score 19.774811 kb_relative_information_score 22.27967 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 19.774811 kb_relative_information_score 23.905566 kb_relative_information_score 15.644056 kb_relative_information_score 21.840188 kb_relative_information_score 19.774811 kb_relative_information_score 21.840188 kb_relative_information_score 17.709433 kb_relative_information_score 21.840188 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 21.840188 kb_relative_information_score 15.644056 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 21.840188 kb_relative_information_score 21.840188 kb_relative_information_score 23.905566 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 21.840188 kb_relative_information_score 21.840188 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 21.840188 kb_relative_information_score 17.709433 kb_relative_information_score 15.644056 kb_relative_information_score 19.774811 kb_relative_information_score 19.774811 kb_relative_information_score 21.840188 kb_relative_information_score 21.840188 kb_relative_information_score 23.905566 kb_relative_information_score 17.709433 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 19.774811 kb_relative_information_score 23.905566 kb_relative_information_score 23.905566 kb_relative_information_score 17.709433 kb_relative_information_score 21.840188 kb_relative_information_score 19.774811 kb_relative_information_score 17.709433 kb_relative_information_score 23.905566 kb_relative_information_score 17.709433 kb_relative_information_score 17.709433 kb_relative_information_score 23.905566 kb_relative_information_score 11.513301 kb_relative_information_score 17.709433 kb_relative_information_score 17.709433 kb_relative_information_score 15.644056 kb_relative_information_score 13.578678 kb_relative_information_score 17.709433 kb_relative_information_score 17.709433 kb_relative_information_score 17.709433 kb_relative_information_score 24.345048 kb_relative_information_score 18.148915 kb_relative_information_score 14.01816 kb_relative_information_score 16.083538 kb_relative_information_score 22.27967 kb_relative_information_score 20.214293 kb_relative_information_score 20.214293 kb_relative_information_score 20.214293 kb_relative_information_score 15.644056 kb_relative_information_score 17.709433 kb_relative_information_score 20.214293 kb_relative_information_score 22.27967 kb_relative_information_score 18.148915 kb_relative_information_score 24.345048 kb_relative_information_score 18.148915 kb_relative_information_score 18.148915 kb_relative_information_score 24.345048 kb_relative_information_score 20.214293 kb_relative_information_score 21.840188 mean_absolute_error 0.041667 mean_absolute_error 0.041667 mean_absolute_error 0.166667 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0.041667 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.166667 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0.166667 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.125 mean_absolute_error 0.041667 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.166667 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.041667 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0.041667 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0.041667 mean_absolute_error 0.125 mean_absolute_error 0.166667 mean_absolute_error 0.083333 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.041667 mean_absolute_error 0 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.125 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.125 mean_absolute_error 0 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0 mean_absolute_error 0.25 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0.166667 mean_absolute_error 0.208333 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0 mean_absolute_error 0.125 mean_absolute_error 0.208333 mean_absolute_error 0.166667 mean_absolute_error 0.041667 mean_absolute_error 0.083333 mean_absolute_error 0.083333 mean_absolute_error 0.083333 mean_absolute_error 0.166667 mean_absolute_error 0.125 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_absolute_error 0.125 mean_absolute_error 0 mean_absolute_error 0.125 mean_absolute_error 0.125 mean_absolute_error 0 mean_absolute_error 0.083333 mean_absolute_error 0.041667 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] precision 0.96131 [1,0.928571] precision 0.961111 [1,0.933333] precision 0.838542 [0.875,0.8125] precision 0.916667 [0.9,0.928571] precision 0.962121 [0.909091,1] precision 1 [1,1] precision 0.916667 [0.9,0.928571] precision 0.879371 [0.818182,0.923077] precision 0.927083 [1,0.875] precision 0.96131 [1,0.928571] precision 0.916667 [0.909091,0.923077] precision 1 [1,1] precision 0.916667 [0.9,0.928571] precision 1 [1,1] precision 0.961111 [1,0.933333] precision 0.879371 [0.818182,0.923077] precision 0.916667 [0.9,0.928571] precision 0.833333 [0.8,0.857143] precision 0.916667 [0.9,0.928571] precision 0.961806 [0.916667,1] precision 0.916667 [0.9,0.928571] precision 0.879371 [0.818182,0.923077] precision 0.930556 [0.833333,1] precision 0.930556 [0.833333,1] precision 1 [1,1] precision 0.847222 [0.75,0.916667] precision 0.961111 [1,0.933333] precision 0.916667 [0.9,0.928571] precision 0.962121 [0.909091,1] precision 0.875926 [0.888889,0.866667] precision 0.962121 [0.909091,1] precision 0.879371 [0.818182,0.923077] precision 0.916667 [0.9,0.928571] precision 0.961111 [1,0.933333] precision 0.833333 [0.8,0.857143] precision 1 [1,1] precision 0.930556 [0.833333,1] precision 1 [1,1] precision 0.916667 [0.9,0.928571] precision 1 [1,1] precision 0.930556 [0.833333,1] precision 0.961111 [1,0.933333] precision 0.961111 [1,0.933333] precision 1 [1,1] precision 0.930556 [0.833333,1] precision 0.897059 [1,0.823529] precision 0.961111 [1,0.933333] precision 0.962121 [0.909091,1] precision 0.916667 [0.9,0.928571] precision 0.879371 [0.818182,0.923077] precision 0.962121 [0.909091,1] precision 0.879371 [0.818182,0.923077] precision 0.847222 [0.75,0.916667] precision 0.927083 [1,0.875] precision 0.916667 [0.9,0.928571] precision 0.962121 [0.909091,1] precision 0.961111 [1,0.933333] precision 1 [1,1] precision 0.879371 [0.818182,0.923077] precision 0.875926 [0.888889,0.866667] precision 0.916667 [0.9,0.928571] precision 0.875926 [0.888889,0.866667] precision 0.930556 [0.833333,1] precision 1 [1,1] precision 1 [1,1] precision 0.897059 [1,0.823529] precision 0.962121 [0.909091,1] precision 0.916667 [0.9,0.928571] precision 0.903846 [0.769231,1] precision 1 [1,1] precision 0.903846 [0.769231,1] precision 0.875926 [0.888889,0.866667] precision 1 [1,1] precision 0.75 [0.75,0.75] precision 0.875926 [0.888889,0.866667] precision 0.875926 [0.888889,0.866667] precision 0.833333 [0.8,0.857143] precision 0.790741 [0.777778,0.8] precision 0.879371 [0.818182,0.923077] precision 0.879371 [0.818182,0.923077] precision 0.879371 [0.818182,0.923077] precision 1 [1,1] precision 0.878472 [0.833333,0.916667] precision 0.795139 [0.75,0.833333] precision 0.833333 [0.818182,0.846154] precision 0.961806 [0.916667,1] precision 0.927778 [1,0.866667] precision 0.916667 [0.909091,0.923077] precision 0.927778 [1,0.866667] precision 0.838542 [0.875,0.8125] precision 0.897059 [1,0.823529] precision 0.916667 [0.909091,0.923077] precision 0.96131 [1,0.928571] precision 0.901786 [0.785714,1] precision 1 [1,1] precision 0.878472 [0.833333,0.916667] precision 0.901786 [0.785714,1] precision 1 [1,1] precision 0.929487 [0.846154,1] precision 0.962121 [0.909091,1] predictive_accuracy 0.958333 predictive_accuracy 0.958333 predictive_accuracy 0.833333 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.958333 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.833333 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.833333 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.875 predictive_accuracy 0.958333 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.833333 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.958333 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 0.958333 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 0.958333 predictive_accuracy 0.875 predictive_accuracy 0.833333 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.958333 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.833333 predictive_accuracy 0.791667 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.791667 predictive_accuracy 0.833333 predictive_accuracy 0.958333 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.833333 predictive_accuracy 0.875 predictive_accuracy 0.916667 predictive_accuracy 0.958333 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 0.958333 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 recall 0.958333 [0.909091,1] recall 0.958333 [0.9,1] recall 0.833333 [0.7,0.928571] recall 0.916667 [0.9,0.928571] recall 0.958333 [1,0.928571] recall 1 [1,1] recall 0.916667 [0.9,0.928571] recall 0.875 [0.9,0.857143] recall 0.916667 [0.8,1] recall 0.958333 [0.909091,1] recall 0.916667 [0.909091,0.923077] recall 1 [1,1] recall 0.916667 [0.9,0.928571] recall 1 [1,1] recall 0.958333 [0.9,1] recall 0.875 [0.9,0.857143] recall 0.916667 [0.9,0.928571] recall 0.833333 [0.8,0.857143] recall 0.916667 [0.9,0.928571] recall 0.958333 [1,0.923077] recall 0.916667 [0.9,0.928571] recall 0.875 [0.9,0.857143] recall 0.916667 [1,0.857143] recall 0.916667 [1,0.857143] recall 1 [1,1] recall 0.833333 [0.9,0.785714] recall 0.958333 [0.9,1] recall 0.916667 [0.9,0.928571] recall 0.958333 [1,0.928571] recall 0.875 [0.8,0.928571] recall 0.958333 [1,0.928571] recall 0.875 [0.9,0.857143] recall 0.916667 [0.9,0.928571] recall 0.958333 [0.9,1] recall 0.833333 [0.8,0.857143] recall 1 [1,1] recall 0.916667 [1,0.857143] recall 1 [1,1] recall 0.916667 [0.9,0.928571] recall 1 [1,1] recall 0.916667 [1,0.857143] recall 0.958333 [0.9,1] recall 0.958333 [0.9,1] recall 1 [1,1] recall 0.916667 [1,0.857143] recall 0.875 [0.7,1] recall 0.958333 [0.9,1] recall 0.958333 [1,0.928571] recall 0.916667 [0.9,0.928571] recall 0.875 [0.9,0.857143] recall 0.958333 [1,0.928571] recall 0.875 [0.9,0.857143] recall 0.833333 [0.9,0.785714] recall 0.916667 [0.8,1] recall 0.916667 [0.9,0.928571] recall 0.958333 [1,0.928571] recall 0.958333 [0.9,1] recall 1 [1,1] recall 0.875 [0.9,0.857143] recall 0.875 [0.8,0.928571] recall 0.916667 [0.9,0.928571] recall 0.875 [0.8,0.928571] recall 0.916667 [1,0.857143] recall 1 [1,1] recall 1 [1,1] recall 0.875 [0.7,1] recall 0.958333 [1,0.928571] recall 0.916667 [0.9,0.928571] recall 0.875 [1,0.785714] recall 1 [1,1] recall 0.875 [1,0.785714] recall 0.875 [0.8,0.928571] recall 1 [1,1] recall 0.75 [0.6,0.857143] recall 0.875 [0.8,0.928571] recall 0.875 [0.8,0.928571] recall 0.833333 [0.8,0.857143] recall 0.791667 [0.7,0.857143] recall 0.875 [0.9,0.857143] recall 0.875 [0.9,0.857143] recall 0.875 [0.9,0.857143] recall 1 [1,1] recall 0.875 [0.909091,0.846154] recall 0.791667 [0.818182,0.769231] recall 0.833333 [0.818182,0.846154] recall 0.958333 [1,0.923077] recall 0.916667 [0.818182,1] recall 0.916667 [0.909091,0.923077] recall 0.916667 [0.818182,1] recall 0.833333 [0.7,0.928571] recall 0.875 [0.7,1] recall 0.916667 [0.909091,0.923077] recall 0.958333 [0.909091,1] recall 0.875 [1,0.769231] recall 1 [1,1] recall 0.875 [0.909091,0.846154] recall 0.875 [1,0.769231] recall 1 [1,1] recall 0.916667 [1,0.846154] recall 0.958333 [1,0.928571] relative_absolute_error 0.084379 relative_absolute_error 0.085452 relative_absolute_error 0.341808 relative_absolute_error 0.170904 relative_absolute_error 0.085452 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0.084379 relative_absolute_error 0.168759 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0 relative_absolute_error 0.085452 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0.341808 relative_absolute_error 0.170904 relative_absolute_error 0.084379 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0.170904 relative_absolute_error 0 relative_absolute_error 0.341808 relative_absolute_error 0.085452 relative_absolute_error 0.170904 relative_absolute_error 0.085452 relative_absolute_error 0.256356 relative_absolute_error 0.085452 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0.085452 relative_absolute_error 0.341808 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0.085452 relative_absolute_error 0.085452 relative_absolute_error 0 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0.085452 relative_absolute_error 0.085452 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0.085452 relative_absolute_error 0.256356 relative_absolute_error 0.341808 relative_absolute_error 0.170904 relative_absolute_error 0.170904 relative_absolute_error 0.085452 relative_absolute_error 0.085452 relative_absolute_error 0 relative_absolute_error 0.256356 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0.170904 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.256356 relative_absolute_error 0.085452 relative_absolute_error 0.170904 relative_absolute_error 0.256356 relative_absolute_error 0 relative_absolute_error 0.256356 relative_absolute_error 0.256356 relative_absolute_error 0 relative_absolute_error 0.512712 relative_absolute_error 0.256356 relative_absolute_error 0.256356 relative_absolute_error 0.341808 relative_absolute_error 0.42726 relative_absolute_error 0.256356 relative_absolute_error 0.256356 relative_absolute_error 0.256356 relative_absolute_error 0 relative_absolute_error 0.253138 relative_absolute_error 0.421897 relative_absolute_error 0.337517 relative_absolute_error 0.084379 relative_absolute_error 0.168759 relative_absolute_error 0.168759 relative_absolute_error 0.168759 relative_absolute_error 0.341808 relative_absolute_error 0.256356 relative_absolute_error 0.168759 relative_absolute_error 0.084379 relative_absolute_error 0.253138 relative_absolute_error 0 relative_absolute_error 0.253138 relative_absolute_error 0.253138 relative_absolute_error 0 relative_absolute_error 0.168759 relative_absolute_error 0.085452 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_squared_error 0.204124 root_mean_squared_error 0.204124 root_mean_squared_error 0.408248 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0.204124 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.408248 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0.408248 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.353553 root_mean_squared_error 0.204124 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.408248 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.204124 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0.204124 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0.204124 root_mean_squared_error 0.353553 root_mean_squared_error 0.408248 root_mean_squared_error 0.288675 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.204124 root_mean_squared_error 0 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.353553 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.353553 root_mean_squared_error 0 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0 root_mean_squared_error 0.5 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0.408248 root_mean_squared_error 0.456435 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0 root_mean_squared_error 0.353553 root_mean_squared_error 0.456435 root_mean_squared_error 0.408248 root_mean_squared_error 0.204124 root_mean_squared_error 0.288675 root_mean_squared_error 0.288675 root_mean_squared_error 0.288675 root_mean_squared_error 0.408248 root_mean_squared_error 0.353553 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_mean_squared_error 0.353553 root_mean_squared_error 0 root_mean_squared_error 0.353553 root_mean_squared_error 0.353553 root_mean_squared_error 0 root_mean_squared_error 0.288675 root_mean_squared_error 0.204124 root_relative_squared_error 0.408793 root_relative_squared_error 0.413971 root_relative_squared_error 0.827942 root_relative_squared_error 0.585444 root_relative_squared_error 0.413971 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0.408793 root_relative_squared_error 0.578121 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0 root_relative_squared_error 0.413971 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0.827942 root_relative_squared_error 0.585444 root_relative_squared_error 0.408793 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0.585444 root_relative_squared_error 0 root_relative_squared_error 0.827942 root_relative_squared_error 0.413971 root_relative_squared_error 0.585444 root_relative_squared_error 0.413971 root_relative_squared_error 0.717019 root_relative_squared_error 0.413971 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0.413971 root_relative_squared_error 0.827942 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0.413971 root_relative_squared_error 0.413971 root_relative_squared_error 0 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0.413971 root_relative_squared_error 0.413971 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0.413971 root_relative_squared_error 0.717019 root_relative_squared_error 0.827942 root_relative_squared_error 0.585444 root_relative_squared_error 0.585444 root_relative_squared_error 0.413971 root_relative_squared_error 0.413971 root_relative_squared_error 0 root_relative_squared_error 0.717019 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0.585444 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.717019 root_relative_squared_error 0.413971 root_relative_squared_error 0.585444 root_relative_squared_error 0.717019 root_relative_squared_error 0 root_relative_squared_error 0.717019 root_relative_squared_error 0.717019 root_relative_squared_error 0 root_relative_squared_error 1.014018 root_relative_squared_error 0.717019 root_relative_squared_error 0.717019 root_relative_squared_error 0.827942 root_relative_squared_error 0.925667 root_relative_squared_error 0.717019 root_relative_squared_error 0.717019 root_relative_squared_error 0.717019 root_relative_squared_error 0 root_relative_squared_error 0.70805 root_relative_squared_error 0.914089 root_relative_squared_error 0.817586 root_relative_squared_error 0.408793 root_relative_squared_error 0.578121 root_relative_squared_error 0.578121 root_relative_squared_error 0.578121 root_relative_squared_error 0.827942 root_relative_squared_error 0.717019 root_relative_squared_error 0.578121 root_relative_squared_error 0.408793 root_relative_squared_error 0.70805 root_relative_squared_error 0 root_relative_squared_error 0.70805 root_relative_squared_error 0.70805 root_relative_squared_error 0 root_relative_squared_error 0.578121 root_relative_squared_error 0.413971 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 230 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis_testing 30 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 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 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 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 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 200 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 90 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 50 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 60 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 60 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 80