457118 2 Joaquin Vanschoren 1911 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 1604722 description https://api.openml.org/data/download/1604722/weka_generated_run8009763892359187040.xml -1 1604725 model_readable https://api.openml.org/data/download/1604725/WekaModel_weka.classifiers.trees.RandomForest856426039112253770.model -1 1604724 model_serialized https://api.openml.org/data/download/1604724/WekaSerialized_weka.classifiers.trees.RandomForest6389703092490775190.model -1 1604723 predictions https://api.openml.org/data/download/1604723/weka_generated_predictions5718602203525279437.arff area_under_roc_curve 0.775267 [0.775267,0.775267] average_cost 0 f_measure 0.73542 [0.8398,0.491865] kappa 0.344739 kb_relative_information_score 1802.70408 mean_absolute_error 0.341541 mean_prior_absolute_error 0.42016 number_of_instances 10000 [7000,3000] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.74182 [0.778089,0.657191] predictive_accuracy 0.7564 prior_entropy 0.881778 recall 0.7564 [0.912143,0.393] relative_absolute_error 0.812884 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.409119 root_relative_squared_error 0.89277 scimark_benchmark 943.100858 [556.7317897675096, 1015.2555353338006, 475.10695365338415, 908.9597582481955, 1759.4502550697425] total_cost 0 usercpu_time_millis 230 usercpu_time_millis_testing 40 usercpu_time_millis_training 190 area_under_roc_curve 0.818571 [0.818571,0.818571] area_under_roc_curve 0.737143 [0.737143,0.737143] area_under_roc_curve 0.698571 [0.698571,0.698571] area_under_roc_curve 0.774762 [0.774762,0.774762] area_under_roc_curve 0.868571 [0.868571,0.868571] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.82381 [0.82381,0.82381] area_under_roc_curve 0.831429 [0.831429,0.831429] area_under_roc_curve 0.661429 [0.661429,0.661429] area_under_roc_curve 0.745714 [0.745714,0.745714] area_under_roc_curve 0.72619 [0.72619,0.72619] area_under_roc_curve 0.811905 [0.811905,0.811905] area_under_roc_curve 0.781429 [0.781429,0.781429] area_under_roc_curve 0.777619 [0.777619,0.777619] area_under_roc_curve 0.798571 [0.798571,0.798571] area_under_roc_curve 0.75381 [0.75381,0.75381] area_under_roc_curve 0.778571 [0.778571,0.778571] area_under_roc_curve 0.795714 [0.795714,0.795714] area_under_roc_curve 0.791429 [0.791429,0.791429] area_under_roc_curve 0.762381 [0.762381,0.762381] area_under_roc_curve 0.721905 [0.721905,0.721905] area_under_roc_curve 0.752857 [0.752857,0.752857] area_under_roc_curve 0.797143 [0.797143,0.797143] area_under_roc_curve 0.800476 [0.800476,0.800476] area_under_roc_curve 0.66881 [0.66881,0.66881] area_under_roc_curve 0.816667 [0.816667,0.816667] area_under_roc_curve 0.677381 [0.677381,0.677381] area_under_roc_curve 0.771905 [0.771905,0.771905] area_under_roc_curve 0.762381 [0.762381,0.762381] area_under_roc_curve 0.805238 [0.805238,0.805238] area_under_roc_curve 0.740476 [0.740476,0.740476] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.782381 [0.782381,0.782381] area_under_roc_curve 0.787143 [0.787143,0.787143] area_under_roc_curve 0.774762 [0.774762,0.774762] area_under_roc_curve 0.781905 [0.781905,0.781905] area_under_roc_curve 0.785238 [0.785238,0.785238] area_under_roc_curve 0.848095 [0.848095,0.848095] area_under_roc_curve 0.777619 [0.777619,0.777619] area_under_roc_curve 0.76619 [0.76619,0.76619] area_under_roc_curve 0.824286 [0.824286,0.824286] area_under_roc_curve 0.769048 [0.769048,0.769048] area_under_roc_curve 0.728095 [0.728095,0.728095] area_under_roc_curve 0.728095 [0.728095,0.728095] area_under_roc_curve 0.81381 [0.81381,0.81381] area_under_roc_curve 0.759524 [0.759524,0.759524] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.799048 [0.799048,0.799048] area_under_roc_curve 0.725238 [0.725238,0.725238] area_under_roc_curve 0.791429 [0.791429,0.791429] area_under_roc_curve 0.817143 [0.817143,0.817143] area_under_roc_curve 0.768571 [0.768571,0.768571] area_under_roc_curve 0.774286 [0.774286,0.774286] area_under_roc_curve 0.790952 [0.790952,0.790952] area_under_roc_curve 0.789524 [0.789524,0.789524] area_under_roc_curve 0.765714 [0.765714,0.765714] area_under_roc_curve 0.804762 [0.804762,0.804762] area_under_roc_curve 0.744286 [0.744286,0.744286] area_under_roc_curve 0.813333 [0.813333,0.813333] area_under_roc_curve 0.778095 [0.778095,0.778095] area_under_roc_curve 0.749524 [0.749524,0.749524] area_under_roc_curve 0.762381 [0.762381,0.762381] area_under_roc_curve 0.814762 [0.814762,0.814762] area_under_roc_curve 0.780952 [0.780952,0.780952] area_under_roc_curve 0.862857 [0.862857,0.862857] area_under_roc_curve 0.705714 [0.705714,0.705714] area_under_roc_curve 0.790476 [0.790476,0.790476] area_under_roc_curve 0.755714 [0.755714,0.755714] area_under_roc_curve 0.87619 [0.87619,0.87619] area_under_roc_curve 0.735714 [0.735714,0.735714] area_under_roc_curve 0.801429 [0.801429,0.801429] area_under_roc_curve 0.755238 [0.755238,0.755238] area_under_roc_curve 0.75381 [0.75381,0.75381] area_under_roc_curve 0.84619 [0.84619,0.84619] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.848571 [0.848571,0.848571] area_under_roc_curve 0.822857 [0.822857,0.822857] area_under_roc_curve 0.732381 [0.732381,0.732381] area_under_roc_curve 0.790952 [0.790952,0.790952] area_under_roc_curve 0.795238 [0.795238,0.795238] area_under_roc_curve 0.77619 [0.77619,0.77619] area_under_roc_curve 0.832381 [0.832381,0.832381] area_under_roc_curve 0.808095 [0.808095,0.808095] area_under_roc_curve 0.747619 [0.747619,0.747619] area_under_roc_curve 0.729524 [0.729524,0.729524] area_under_roc_curve 0.821429 [0.821429,0.821429] area_under_roc_curve 0.747143 [0.747143,0.747143] area_under_roc_curve 0.824762 [0.824762,0.824762] area_under_roc_curve 0.805238 [0.805238,0.805238] area_under_roc_curve 0.805714 [0.805714,0.805714] area_under_roc_curve 0.744048 [0.744048,0.744048] area_under_roc_curve 0.765714 [0.765714,0.765714] area_under_roc_curve 0.802857 [0.802857,0.802857] area_under_roc_curve 0.763333 [0.763333,0.763333] area_under_roc_curve 0.762857 [0.762857,0.762857] area_under_roc_curve 0.73381 [0.73381,0.73381] area_under_roc_curve 0.696667 [0.696667,0.696667] area_under_roc_curve 0.777857 [0.777857,0.777857] area_under_roc_curve 0.810476 [0.810476,0.810476] area_under_roc_curve 0.768571 [0.768571,0.768571] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.769879 [0.862745,0.553191] f_measure 0.688012 [0.807947,0.408163] f_measure 0.70413 [0.823529,0.425532] f_measure 0.760288 [0.843537,0.566038] f_measure 0.752561 [0.847682,0.530612] f_measure 0.752561 [0.847682,0.530612] f_measure 0.712253 [0.831169,0.434783] f_measure 0.69125 [0.8375,0.35] f_measure 0.652632 [0.789474,0.333333] f_measure 0.714331 [0.818792,0.470588] f_measure 0.706061 [0.833333,0.409091] f_measure 0.726046 [0.836601,0.468085] f_measure 0.756522 [0.857143,0.521739] f_measure 0.731045 [0.834437,0.489796] f_measure 0.744 [0.84,0.52] f_measure 0.800791 [0.883117,0.608696] f_measure 0.756652 [0.845638,0.54902] f_measure 0.761184 [0.855263,0.541667] f_measure 0.734387 [0.844156,0.478261] f_measure 0.763511 [0.841379,0.581818] f_measure 0.70413 [0.823529,0.425532] f_measure 0.70413 [0.823529,0.425532] f_measure 0.774078 [0.860927,0.571429] f_measure 0.756652 [0.845638,0.54902] f_measure 0.690119 [0.818182,0.391304] f_measure 0.769023 [0.851351,0.576923] f_measure 0.696053 [0.815789,0.416667] f_measure 0.712253 [0.831169,0.434783] f_measure 0.70701 [0.842767,0.390244] f_measure 0.756522 [0.857143,0.521739] f_measure 0.722382 [0.813793,0.509091] f_measure 0.696053 [0.815789,0.416667] f_measure 0.667984 [0.805195,0.347826] f_measure 0.760288 [0.843537,0.566038] f_measure 0.782895 [0.868421,0.583333] f_measure 0.688012 [0.807947,0.408163] f_measure 0.727027 [0.824324,0.5] f_measure 0.808 [0.88,0.64] f_measure 0.726046 [0.836601,0.468085] f_measure 0.717763 [0.828947,0.458333] f_measure 0.751282 [0.858974,0.5] f_measure 0.735492 [0.832215,0.509804] f_measure 0.756522 [0.857143,0.521739] f_measure 0.765333 [0.853333,0.56] f_measure 0.735492 [0.832215,0.509804] f_measure 0.747963 [0.849673,0.510638] f_measure 0.714116 [0.840764,0.418605] f_measure 0.652803 [0.810127,0.285714] f_measure 0.761184 [0.855263,0.541667] f_measure 0.747963 [0.849673,0.510638] f_measure 0.791795 [0.875817,0.595745] f_measure 0.781132 [0.857143,0.603774] f_measure 0.727027 [0.824324,0.5] f_measure 0.745389 [0.860759,0.47619] f_measure 0.748025 [0.837838,0.538462] f_measure 0.709528 [0.821192,0.44898] f_measure 0.745389 [0.860759,0.47619] f_measure 0.712253 [0.831169,0.434783] f_measure 0.744 [0.84,0.52] f_measure 0.722667 [0.826667,0.48] f_measure 0.710198 [0.808219,0.481481] f_measure 0.722667 [0.826667,0.48] f_measure 0.795594 [0.874172,0.612245] f_measure 0.72043 [0.83871,0.444444] f_measure 0.70701 [0.842767,0.390244] f_measure 0.769023 [0.851351,0.576923] f_measure 0.742796 [0.851613,0.488889] f_measure 0.706029 [0.810811,0.461538] f_measure 0.832017 [0.891892,0.692308] f_measure 0.683571 [0.830189,0.341463] f_measure 0.765161 [0.864516,0.533333] f_measure 0.660298 [0.797386,0.340426] f_measure 0.739474 [0.842105,0.5] f_measure 0.808 [0.88,0.64] f_measure 0.690119 [0.818182,0.391304] f_measure 0.761184 [0.855263,0.541667] f_measure 0.795635 [0.861111,0.642857] f_measure 0.706029 [0.810811,0.461538] f_measure 0.696053 [0.815789,0.416667] f_measure 0.769879 [0.862745,0.553191] f_measure 0.751282 [0.858974,0.5] f_measure 0.778656 [0.87013,0.565217] f_measure 0.701333 [0.813333,0.44] f_measure 0.734387 [0.844156,0.478261] f_measure 0.698065 [0.825806,0.4] f_measure 0.734387 [0.844156,0.478261] f_measure 0.761184 [0.855263,0.541667] f_measure 0.722667 [0.826667,0.48] f_measure 0.70701 [0.842767,0.390244] f_measure 0.786667 [0.866667,0.6] f_measure 0.761184 [0.855263,0.541667] f_measure 0.714116 [0.840764,0.418605] f_measure 0.769023 [0.851351,0.576923] f_measure 0.717763 [0.828947,0.458333] f_measure 0.68345 [0.820513,0.363636] f_measure 0.70413 [0.823529,0.425532] f_measure 0.688012 [0.807947,0.408163] f_measure 0.786667 [0.866667,0.6] f_measure 0.752561 [0.847682,0.530612] f_measure 0.674342 [0.802632,0.375] kappa 0.429348 kappa 0.228723 kappa 0.266304 kappa 0.413265 kappa 0.388298 kappa 0.388298 kappa 0.285714 kappa 0.235294 kappa 0.139785 kappa 0.296875 kappa 0.269663 kappa 0.320652 kappa 0.395604 kappa 0.335106 kappa 0.368421 kappa 0.505495 kappa 0.401042 kappa 0.408602 kappa 0.340659 kappa 0.425 kappa 0.266304 kappa 0.266304 kappa 0.441489 kappa 0.401042 kappa 0.230769 kappa 0.43299 kappa 0.247312 kappa 0.285714 kappa 0.273256 kappa 0.395604 kappa 0.325 kappa 0.247312 kappa 0.175824 kappa 0.413265 kappa 0.462366 kappa 0.228723 kappa 0.329897 kappa 0.526316 kappa 0.320652 kappa 0.301075 kappa 0.382022 kappa 0.348958 kappa 0.395604 kappa 0.421053 kappa 0.348958 kappa 0.375 kappa 0.289773 kappa 0.137931 kappa 0.408602 kappa 0.375 kappa 0.483696 kappa 0.464286 kappa 0.329897 kappa 0.367816 kappa 0.381443 kappa 0.281915 kappa 0.367816 kappa 0.285714 kappa 0.368421 kappa 0.315789 kappa 0.292929 kappa 0.315789 kappa 0.494681 kappa 0.305556 kappa 0.273256 kappa 0.43299 kappa 0.361111 kappa 0.278351 kappa 0.587629 kappa 0.215116 kappa 0.416667 kappa 0.157609 kappa 0.354839 kappa 0.526316 kappa 0.230769 kappa 0.408602 kappa 0.50495 kappa 0.278351 kappa 0.247312 kappa 0.429348 kappa 0.382022 kappa 0.450549 kappa 0.263158 kappa 0.340659 kappa 0.25 kappa 0.340659 kappa 0.408602 kappa 0.315789 kappa 0.273256 kappa 0.473684 kappa 0.408602 kappa 0.289773 kappa 0.43299 kappa 0.301075 kappa 0.213483 kappa 0.266304 kappa 0.228723 kappa 0.473684 kappa 0.388298 kappa 0.193548 kb_relative_information_score 19.884437 kb_relative_information_score 15.601604 kb_relative_information_score 10.772614 kb_relative_information_score 18.218062 kb_relative_information_score 24.819683 kb_relative_information_score 22.296803 kb_relative_information_score 22.246612 kb_relative_information_score 19.836192 kb_relative_information_score 6.558228 kb_relative_information_score 15.862721 kb_relative_information_score 15.075188 kb_relative_information_score 25.100259 kb_relative_information_score 21.737504 kb_relative_information_score 16.084853 kb_relative_information_score 16.630572 kb_relative_information_score 18.963394 kb_relative_information_score 17.075942 kb_relative_information_score 21.553943 kb_relative_information_score 18.22877 kb_relative_information_score 14.295068 kb_relative_information_score 13.838231 kb_relative_information_score 15.610926 kb_relative_information_score 20.734936 kb_relative_information_score 18.64445 kb_relative_information_score 11.206912 kb_relative_information_score 17.860473 kb_relative_information_score 8.434551 kb_relative_information_score 16.496952 kb_relative_information_score 17.326119 kb_relative_information_score 22.159536 kb_relative_information_score 11.997729 kb_relative_information_score 11.089319 kb_relative_information_score 18.551774 kb_relative_information_score 20.895859 kb_relative_information_score 19.912446 kb_relative_information_score 18.230734 kb_relative_information_score 18.158615 kb_relative_information_score 24.330799 kb_relative_information_score 18.305909 kb_relative_information_score 18.055001 kb_relative_information_score 19.061427 kb_relative_information_score 15.8601 kb_relative_information_score 18.189311 kb_relative_information_score 15.8956 kb_relative_information_score 21.475936 kb_relative_information_score 15.435247 kb_relative_information_score 21.376026 kb_relative_information_score 15.468637 kb_relative_information_score 16.668423 kb_relative_information_score 17.942885 kb_relative_information_score 25.197368 kb_relative_information_score 14.770563 kb_relative_information_score 18.038441 kb_relative_information_score 18.909142 kb_relative_information_score 20.165687 kb_relative_information_score 17.45522 kb_relative_information_score 23.132165 kb_relative_information_score 17.669071 kb_relative_information_score 20.867095 kb_relative_information_score 19.356338 kb_relative_information_score 15.404923 kb_relative_information_score 16.025237 kb_relative_information_score 21.353761 kb_relative_information_score 13.767629 kb_relative_information_score 24.609428 kb_relative_information_score 14.08761 kb_relative_information_score 21.987234 kb_relative_information_score 16.843132 kb_relative_information_score 29.486917 kb_relative_information_score 9.824492 kb_relative_information_score 19.862742 kb_relative_information_score 12.738743 kb_relative_information_score 13.727729 kb_relative_information_score 26.999636 kb_relative_information_score 13.560591 kb_relative_information_score 26.728379 kb_relative_information_score 15.38593 kb_relative_information_score 10.739894 kb_relative_information_score 13.596468 kb_relative_information_score 23.46588 kb_relative_information_score 18.634369 kb_relative_information_score 24.319938 kb_relative_information_score 20.192513 kb_relative_information_score 18.889989 kb_relative_information_score 16.44184 kb_relative_information_score 18.341341 kb_relative_information_score 15.981686 kb_relative_information_score 22.231908 kb_relative_information_score 21.40131 kb_relative_information_score 21.356314 kb_relative_information_score 15.910458 kb_relative_information_score 20.420488 kb_relative_information_score 17.839233 kb_relative_information_score 15.914205 kb_relative_information_score 13.934515 kb_relative_information_score 14.86826 kb_relative_information_score 11.120935 kb_relative_information_score 22.551975 kb_relative_information_score 19.981025 kb_relative_information_score 16.557019 mean_absolute_error 0.333621 mean_absolute_error 0.349253 mean_absolute_error 0.364579 mean_absolute_error 0.342358 mean_absolute_error 0.319984 mean_absolute_error 0.325057 mean_absolute_error 0.329519 mean_absolute_error 0.339315 mean_absolute_error 0.377177 mean_absolute_error 0.352635 mean_absolute_error 0.349285 mean_absolute_error 0.314276 mean_absolute_error 0.330768 mean_absolute_error 0.346565 mean_absolute_error 0.348474 mean_absolute_error 0.33753 mean_absolute_error 0.344241 mean_absolute_error 0.328869 mean_absolute_error 0.341707 mean_absolute_error 0.351418 mean_absolute_error 0.354722 mean_absolute_error 0.352306 mean_absolute_error 0.326446 mean_absolute_error 0.339764 mean_absolute_error 0.361019 mean_absolute_error 0.345247 mean_absolute_error 0.374181 mean_absolute_error 0.34719 mean_absolute_error 0.342991 mean_absolute_error 0.326705 mean_absolute_error 0.362863 mean_absolute_error 0.364019 mean_absolute_error 0.339024 mean_absolute_error 0.332842 mean_absolute_error 0.334945 mean_absolute_error 0.33988 mean_absolute_error 0.340504 mean_absolute_error 0.32158 mean_absolute_error 0.34279 mean_absolute_error 0.343775 mean_absolute_error 0.34118 mean_absolute_error 0.347503 mean_absolute_error 0.34496 mean_absolute_error 0.347329 mean_absolute_error 0.329212 mean_absolute_error 0.349706 mean_absolute_error 0.325924 mean_absolute_error 0.353244 mean_absolute_error 0.347249 mean_absolute_error 0.344677 mean_absolute_error 0.31899 mean_absolute_error 0.353009 mean_absolute_error 0.340071 mean_absolute_error 0.338372 mean_absolute_error 0.333182 mean_absolute_error 0.342097 mean_absolute_error 0.324755 mean_absolute_error 0.341308 mean_absolute_error 0.331772 mean_absolute_error 0.334046 mean_absolute_error 0.347144 mean_absolute_error 0.349577 mean_absolute_error 0.328742 mean_absolute_error 0.358703 mean_absolute_error 0.324489 mean_absolute_error 0.35513 mean_absolute_error 0.331737 mean_absolute_error 0.342877 mean_absolute_error 0.306767 mean_absolute_error 0.371741 mean_absolute_error 0.335645 mean_absolute_error 0.355263 mean_absolute_error 0.357554 mean_absolute_error 0.312645 mean_absolute_error 0.358099 mean_absolute_error 0.309199 mean_absolute_error 0.354154 mean_absolute_error 0.366839 mean_absolute_error 0.356117 mean_absolute_error 0.322722 mean_absolute_error 0.342939 mean_absolute_error 0.325174 mean_absolute_error 0.334444 mean_absolute_error 0.334747 mean_absolute_error 0.344846 mean_absolute_error 0.343734 mean_absolute_error 0.343999 mean_absolute_error 0.327377 mean_absolute_error 0.330997 mean_absolute_error 0.330419 mean_absolute_error 0.347932 mean_absolute_error 0.335153 mean_absolute_error 0.3423 mean_absolute_error 0.345696 mean_absolute_error 0.358114 mean_absolute_error 0.347629 mean_absolute_error 0.362385 mean_absolute_error 0.323766 mean_absolute_error 0.338914 mean_absolute_error 0.340374 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.786038 [0.795181,0.764706] precision 0.685055 [0.753086,0.526316] precision 0.707796 [0.759036,0.588235] precision 0.759289 [0.805195,0.652174] precision 0.75835 [0.790123,0.684211] precision 0.75835 [0.790123,0.684211] precision 0.720833 [0.761905,0.625] precision 0.731111 [0.744444,0.7] precision 0.645528 [0.731707,0.444444] precision 0.711935 [0.772152,0.571429] precision 0.721927 [0.755814,0.642857] precision 0.733877 [0.771084,0.647059] precision 0.775 [0.785714,0.75] precision 0.733918 [0.777778,0.631579] precision 0.74625 [0.7875,0.65] precision 0.829167 [0.809524,0.875] precision 0.758228 [0.797468,0.666667] precision 0.771545 [0.792683,0.722222] precision 0.747917 [0.77381,0.6875] precision 0.761333 [0.813333,0.64] precision 0.707796 [0.759036,0.588235] precision 0.707796 [0.759036,0.588235] precision 0.782781 [0.802469,0.736842] precision 0.758228 [0.797468,0.666667] precision 0.69375 [0.75,0.5625] precision 0.76993 [0.807692,0.681818] precision 0.695935 [0.756098,0.555556] precision 0.720833 [0.761905,0.625] precision 0.745148 [0.752809,0.727273] precision 0.775 [0.785714,0.75] precision 0.718667 [0.786667,0.56] precision 0.695935 [0.756098,0.555556] precision 0.666667 [0.738095,0.5] precision 0.759289 [0.805195,0.652174] precision 0.796748 [0.804878,0.777778] precision 0.685055 [0.753086,0.526316] precision 0.724709 [0.782051,0.590909] precision 0.8175 [0.825,0.8] precision 0.733877 [0.771084,0.647059] precision 0.721138 [0.768293,0.611111] precision 0.781063 [0.77907,0.785714] precision 0.735081 [0.78481,0.619048] precision 0.775 [0.785714,0.75] precision 0.77 [0.8,0.7] precision 0.735081 [0.78481,0.619048] precision 0.759957 [0.783133,0.705882] precision 0.738727 [0.758621,0.692308] precision 0.659091 [0.727273,0.5] precision 0.771545 [0.792683,0.722222] precision 0.759957 [0.783133,0.705882] precision 0.812119 [0.807229,0.823529] precision 0.781423 [0.818182,0.695652] precision 0.724709 [0.782051,0.590909] precision 0.790909 [0.772727,0.833333] precision 0.747319 [0.794872,0.636364] precision 0.709487 [0.765432,0.578947] precision 0.790909 [0.772727,0.833333] precision 0.720833 [0.761905,0.625] precision 0.74625 [0.7875,0.65] precision 0.7225 [0.775,0.6] precision 0.705921 [0.776316,0.541667] precision 0.7225 [0.775,0.6] precision 0.807212 [0.814815,0.789474] precision 0.735294 [0.764706,0.666667] precision 0.745148 [0.752809,0.727273] precision 0.76993 [0.807692,0.681818] precision 0.763529 [0.776471,0.733333] precision 0.702098 [0.769231,0.545455] precision 0.837762 [0.846154,0.818182] precision 0.71001 [0.741573,0.636364] precision 0.791765 [0.788235,0.8] precision 0.655634 [0.73494,0.470588] precision 0.746341 [0.780488,0.666667] precision 0.8175 [0.825,0.8] precision 0.69375 [0.75,0.5625] precision 0.771545 [0.792683,0.722222] precision 0.794179 [0.837838,0.692308] precision 0.702098 [0.769231,0.545455] precision 0.695935 [0.756098,0.555556] precision 0.786038 [0.795181,0.764706] precision 0.781063 [0.77907,0.785714] precision 0.802083 [0.797619,0.8125] precision 0.69875 [0.7625,0.55] precision 0.747917 [0.77381,0.6875] precision 0.707059 [0.752941,0.6] precision 0.747917 [0.77381,0.6875] precision 0.771545 [0.792683,0.722222] precision 0.7225 [0.775,0.6] precision 0.745148 [0.752809,0.727273] precision 0.79375 [0.8125,0.75] precision 0.771545 [0.792683,0.722222] precision 0.738727 [0.758621,0.692308] precision 0.76993 [0.807692,0.681818] precision 0.721138 [0.768293,0.611111] precision 0.692359 [0.744186,0.571429] precision 0.707796 [0.759036,0.588235] precision 0.685055 [0.753086,0.526316] precision 0.79375 [0.8125,0.75] precision 0.75835 [0.790123,0.684211] precision 0.670732 [0.743902,0.5] predictive_accuracy 0.79 predictive_accuracy 0.71 predictive_accuracy 0.73 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.68 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.77 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.79 predictive_accuracy 0.77 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.72 predictive_accuracy 0.74 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.73 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.77 predictive_accuracy 0.8 predictive_accuracy 0.71 predictive_accuracy 0.74 predictive_accuracy 0.82 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.81 predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.74 predictive_accuracy 0.81 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.73 predictive_accuracy 0.79 predictive_accuracy 0.69 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.73 predictive_accuracy 0.71 predictive_accuracy 0.8 predictive_accuracy 0.77 predictive_accuracy 0.7 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 recall 0.79 [0.942857,0.433333] recall 0.71 [0.871429,0.333333] recall 0.73 [0.9,0.333333] recall 0.77 [0.885714,0.5] recall 0.77 [0.914286,0.433333] recall 0.77 [0.914286,0.433333] recall 0.74 [0.914286,0.333333] recall 0.74 [0.957143,0.233333] recall 0.68 [0.857143,0.266667] recall 0.73 [0.871429,0.4] recall 0.74 [0.928571,0.3] recall 0.75 [0.914286,0.366667] recall 0.78 [0.942857,0.4] recall 0.75 [0.9,0.4] recall 0.76 [0.9,0.433333] recall 0.82 [0.971429,0.466667] recall 0.77 [0.9,0.466667] recall 0.78 [0.928571,0.433333] recall 0.76 [0.928571,0.366667] recall 0.77 [0.871429,0.533333] recall 0.73 [0.9,0.333333] recall 0.73 [0.9,0.333333] recall 0.79 [0.928571,0.466667] recall 0.77 [0.9,0.466667] recall 0.72 [0.9,0.3] recall 0.78 [0.9,0.5] recall 0.72 [0.885714,0.333333] recall 0.74 [0.914286,0.333333] recall 0.75 [0.957143,0.266667] recall 0.78 [0.942857,0.4] recall 0.73 [0.842857,0.466667] recall 0.72 [0.885714,0.333333] recall 0.7 [0.885714,0.266667] recall 0.77 [0.885714,0.5] recall 0.8 [0.942857,0.466667] recall 0.71 [0.871429,0.333333] recall 0.74 [0.871429,0.433333] recall 0.82 [0.942857,0.533333] recall 0.75 [0.914286,0.366667] recall 0.74 [0.9,0.366667] recall 0.78 [0.957143,0.366667] recall 0.75 [0.885714,0.433333] recall 0.78 [0.942857,0.4] recall 0.78 [0.914286,0.466667] recall 0.75 [0.885714,0.433333] recall 0.77 [0.928571,0.4] recall 0.75 [0.942857,0.3] recall 0.7 [0.914286,0.2] recall 0.78 [0.928571,0.433333] recall 0.77 [0.928571,0.4] recall 0.81 [0.957143,0.466667] recall 0.79 [0.9,0.533333] recall 0.74 [0.871429,0.433333] recall 0.78 [0.971429,0.333333] recall 0.76 [0.885714,0.466667] recall 0.73 [0.885714,0.366667] recall 0.78 [0.971429,0.333333] recall 0.74 [0.914286,0.333333] recall 0.76 [0.9,0.433333] recall 0.74 [0.885714,0.4] recall 0.72 [0.842857,0.433333] recall 0.74 [0.885714,0.4] recall 0.81 [0.942857,0.5] recall 0.75 [0.928571,0.333333] recall 0.75 [0.957143,0.266667] recall 0.78 [0.9,0.5] recall 0.77 [0.942857,0.366667] recall 0.72 [0.857143,0.4] recall 0.84 [0.942857,0.6] recall 0.73 [0.942857,0.233333] recall 0.79 [0.957143,0.4] recall 0.69 [0.871429,0.266667] recall 0.76 [0.914286,0.4] recall 0.82 [0.942857,0.533333] recall 0.72 [0.9,0.3] recall 0.78 [0.928571,0.433333] recall 0.8 [0.885714,0.6] recall 0.72 [0.857143,0.4] recall 0.72 [0.885714,0.333333] recall 0.79 [0.942857,0.433333] recall 0.78 [0.957143,0.366667] recall 0.8 [0.957143,0.433333] recall 0.72 [0.871429,0.366667] recall 0.76 [0.928571,0.366667] recall 0.73 [0.914286,0.3] recall 0.76 [0.928571,0.366667] recall 0.78 [0.928571,0.433333] recall 0.74 [0.885714,0.4] recall 0.75 [0.957143,0.266667] recall 0.8 [0.928571,0.5] recall 0.78 [0.928571,0.433333] recall 0.75 [0.942857,0.3] recall 0.78 [0.9,0.5] recall 0.74 [0.9,0.366667] recall 0.72 [0.914286,0.266667] recall 0.73 [0.9,0.333333] recall 0.71 [0.871429,0.333333] recall 0.8 [0.928571,0.5] recall 0.77 [0.914286,0.433333] recall 0.7 [0.871429,0.3] relative_absolute_error 0.794033 relative_absolute_error 0.83124 relative_absolute_error 0.867716 relative_absolute_error 0.814828 relative_absolute_error 0.761577 relative_absolute_error 0.773651 relative_absolute_error 0.784272 relative_absolute_error 0.807586 relative_absolute_error 0.897698 relative_absolute_error 0.839289 relative_absolute_error 0.831316 relative_absolute_error 0.747993 relative_absolute_error 0.787243 relative_absolute_error 0.824841 relative_absolute_error 0.829386 relative_absolute_error 0.803337 relative_absolute_error 0.819311 relative_absolute_error 0.782725 relative_absolute_error 0.813278 relative_absolute_error 0.83639 relative_absolute_error 0.844255 relative_absolute_error 0.838506 relative_absolute_error 0.776957 relative_absolute_error 0.808655 relative_absolute_error 0.859242 relative_absolute_error 0.821704 relative_absolute_error 0.890569 relative_absolute_error 0.826329 relative_absolute_error 0.816335 relative_absolute_error 0.777573 relative_absolute_error 0.863632 relative_absolute_error 0.866383 relative_absolute_error 0.806894 relative_absolute_error 0.792179 relative_absolute_error 0.797186 relative_absolute_error 0.80893 relative_absolute_error 0.810416 relative_absolute_error 0.765375 relative_absolute_error 0.815855 relative_absolute_error 0.818201 relative_absolute_error 0.812024 relative_absolute_error 0.827073 relative_absolute_error 0.821022 relative_absolute_error 0.826658 relative_absolute_error 0.78354 relative_absolute_error 0.832316 relative_absolute_error 0.775715 relative_absolute_error 0.840737 relative_absolute_error 0.82647 relative_absolute_error 0.820348 relative_absolute_error 0.759212 relative_absolute_error 0.840179 relative_absolute_error 0.809385 relative_absolute_error 0.805342 relative_absolute_error 0.79299 relative_absolute_error 0.814206 relative_absolute_error 0.772933 relative_absolute_error 0.81233 relative_absolute_error 0.789634 relative_absolute_error 0.795046 relative_absolute_error 0.826218 relative_absolute_error 0.83201 relative_absolute_error 0.782421 relative_absolute_error 0.853729 relative_absolute_error 0.7723 relative_absolute_error 0.845227 relative_absolute_error 0.789549 relative_absolute_error 0.816064 relative_absolute_error 0.730121 relative_absolute_error 0.884762 relative_absolute_error 0.798851 relative_absolute_error 0.845542 relative_absolute_error 0.850995 relative_absolute_error 0.744111 relative_absolute_error 0.852293 relative_absolute_error 0.735908 relative_absolute_error 0.842903 relative_absolute_error 0.873094 relative_absolute_error 0.847576 relative_absolute_error 0.768094 relative_absolute_error 0.816211 relative_absolute_error 0.773928 relative_absolute_error 0.795993 relative_absolute_error 0.796715 relative_absolute_error 0.82075 relative_absolute_error 0.818103 relative_absolute_error 0.818734 relative_absolute_error 0.779172 relative_absolute_error 0.787789 relative_absolute_error 0.786413 relative_absolute_error 0.828095 relative_absolute_error 0.797679 relative_absolute_error 0.81469 relative_absolute_error 0.822772 relative_absolute_error 0.852329 relative_absolute_error 0.827373 relative_absolute_error 0.862494 relative_absolute_error 0.770579 relative_absolute_error 0.806632 relative_absolute_error 0.810105 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.394825 root_mean_squared_error 0.421962 root_mean_squared_error 0.432369 root_mean_squared_error 0.405653 root_mean_squared_error 0.378046 root_mean_squared_error 0.397563 root_mean_squared_error 0.39605 root_mean_squared_error 0.394089 root_mean_squared_error 0.449906 root_mean_squared_error 0.419805 root_mean_squared_error 0.429289 root_mean_squared_error 0.393489 root_mean_squared_error 0.405471 root_mean_squared_error 0.411829 root_mean_squared_error 0.402277 root_mean_squared_error 0.410189 root_mean_squared_error 0.40732 root_mean_squared_error 0.401608 root_mean_squared_error 0.403958 root_mean_squared_error 0.415462 root_mean_squared_error 0.430123 root_mean_squared_error 0.421001 root_mean_squared_error 0.401704 root_mean_squared_error 0.402002 root_mean_squared_error 0.44249 root_mean_squared_error 0.401551 root_mean_squared_error 0.437445 root_mean_squared_error 0.415724 root_mean_squared_error 0.419969 root_mean_squared_error 0.398192 root_mean_squared_error 0.420375 root_mean_squared_error 0.429912 root_mean_squared_error 0.41115 root_mean_squared_error 0.402651 root_mean_squared_error 0.403116 root_mean_squared_error 0.408365 root_mean_squared_error 0.403782 root_mean_squared_error 0.383751 root_mean_squared_error 0.407 root_mean_squared_error 0.41174 root_mean_squared_error 0.397977 root_mean_squared_error 0.411444 root_mean_squared_error 0.418956 root_mean_squared_error 0.426639 root_mean_squared_error 0.398185 root_mean_squared_error 0.418324 root_mean_squared_error 0.4017 root_mean_squared_error 0.408862 root_mean_squared_error 0.418579 root_mean_squared_error 0.405922 root_mean_squared_error 0.39169 root_mean_squared_error 0.412522 root_mean_squared_error 0.408986 root_mean_squared_error 0.403017 root_mean_squared_error 0.399644 root_mean_squared_error 0.415534 root_mean_squared_error 0.398478 root_mean_squared_error 0.419529 root_mean_squared_error 0.398339 root_mean_squared_error 0.410442 root_mean_squared_error 0.420548 root_mean_squared_error 0.414338 root_mean_squared_error 0.395761 root_mean_squared_error 0.410699 root_mean_squared_error 0.383836 root_mean_squared_error 0.425872 root_mean_squared_error 0.399813 root_mean_squared_error 0.418812 root_mean_squared_error 0.366909 root_mean_squared_error 0.426064 root_mean_squared_error 0.399871 root_mean_squared_error 0.418893 root_mean_squared_error 0.421173 root_mean_squared_error 0.377644 root_mean_squared_error 0.42478 root_mean_squared_error 0.382674 root_mean_squared_error 0.398638 root_mean_squared_error 0.426722 root_mean_squared_error 0.411356 root_mean_squared_error 0.394878 root_mean_squared_error 0.408959 root_mean_squared_error 0.387884 root_mean_squared_error 0.398576 root_mean_squared_error 0.418813 root_mean_squared_error 0.423222 root_mean_squared_error 0.398098 root_mean_squared_error 0.417701 root_mean_squared_error 0.39249 root_mean_squared_error 0.401158 root_mean_squared_error 0.395357 root_mean_squared_error 0.416352 root_mean_squared_error 0.410105 root_mean_squared_error 0.401303 root_mean_squared_error 0.415846 root_mean_squared_error 0.416245 root_mean_squared_error 0.426302 root_mean_squared_error 0.435273 root_mean_squared_error 0.400177 root_mean_squared_error 0.399156 root_mean_squared_error 0.416629 root_relative_squared_error 0.861579 root_relative_squared_error 0.920796 root_relative_squared_error 0.943506 root_relative_squared_error 0.885208 root_relative_squared_error 0.824963 root_relative_squared_error 0.867554 root_relative_squared_error 0.864251 root_relative_squared_error 0.859973 root_relative_squared_error 0.981776 root_relative_squared_error 0.916088 root_relative_squared_error 0.936785 root_relative_squared_error 0.858663 root_relative_squared_error 0.88481 root_relative_squared_error 0.898684 root_relative_squared_error 0.877841 root_relative_squared_error 0.895104 root_relative_squared_error 0.888844 root_relative_squared_error 0.87638 root_relative_squared_error 0.881508 root_relative_squared_error 0.906612 root_relative_squared_error 0.938604 root_relative_squared_error 0.918699 root_relative_squared_error 0.87659 root_relative_squared_error 0.877241 root_relative_squared_error 0.965591 root_relative_squared_error 0.876255 root_relative_squared_error 0.954583 root_relative_squared_error 0.907183 root_relative_squared_error 0.916448 root_relative_squared_error 0.868926 root_relative_squared_error 0.917334 root_relative_squared_error 0.938144 root_relative_squared_error 0.897202 root_relative_squared_error 0.878657 root_relative_squared_error 0.879671 root_relative_squared_error 0.891126 root_relative_squared_error 0.881125 root_relative_squared_error 0.837414 root_relative_squared_error 0.888146 root_relative_squared_error 0.898491 root_relative_squared_error 0.868457 root_relative_squared_error 0.897843 root_relative_squared_error 0.914236 root_relative_squared_error 0.931003 root_relative_squared_error 0.86891 root_relative_squared_error 0.912858 root_relative_squared_error 0.876582 root_relative_squared_error 0.892209 root_relative_squared_error 0.913414 root_relative_squared_error 0.885794 root_relative_squared_error 0.854738 root_relative_squared_error 0.900197 root_relative_squared_error 0.892479 root_relative_squared_error 0.879455 root_relative_squared_error 0.872094 root_relative_squared_error 0.906769 root_relative_squared_error 0.86955 root_relative_squared_error 0.915486 root_relative_squared_error 0.869246 root_relative_squared_error 0.895658 root_relative_squared_error 0.91771 root_relative_squared_error 0.904158 root_relative_squared_error 0.863622 root_relative_squared_error 0.896218 root_relative_squared_error 0.8376 root_relative_squared_error 0.929328 root_relative_squared_error 0.872462 root_relative_squared_error 0.913921 root_relative_squared_error 0.80066 root_relative_squared_error 0.929748 root_relative_squared_error 0.872589 root_relative_squared_error 0.914099 root_relative_squared_error 0.919075 root_relative_squared_error 0.824087 root_relative_squared_error 0.926946 root_relative_squared_error 0.835062 root_relative_squared_error 0.869899 root_relative_squared_error 0.931184 root_relative_squared_error 0.897652 root_relative_squared_error 0.861693 root_relative_squared_error 0.892421 root_relative_squared_error 0.846432 root_relative_squared_error 0.869763 root_relative_squared_error 0.913925 root_relative_squared_error 0.923547 root_relative_squared_error 0.868721 root_relative_squared_error 0.911498 root_relative_squared_error 0.856483 root_relative_squared_error 0.875398 root_relative_squared_error 0.86274 root_relative_squared_error 0.908554 root_relative_squared_error 0.894922 root_relative_squared_error 0.875714 root_relative_squared_error 0.90745 root_relative_squared_error 0.908322 root_relative_squared_error 0.930267 root_relative_squared_error 0.949843 root_relative_squared_error 0.873258 root_relative_squared_error 0.87103 root_relative_squared_error 0.909159 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 290 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 190 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 290 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 290 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 230 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 190 usercpu_time_millis 190 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 190 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 190 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 180 usercpu_time_millis 170 usercpu_time_millis 180 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 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 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 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 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 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 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 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 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 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 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 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 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 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_training 290 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 290 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 280 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 220 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 190 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 190 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 190 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 190 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 180 usercpu_time_millis_training 170 usercpu_time_millis_training 170