330681 2 Joaquin Vanschoren 4601 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1131022 description https://api.openml.org/data/download/1131022/weka_generated_run2575166054568658323.xml -1 1131025 model_readable https://api.openml.org/data/download/1131025/WekaModel_weka.classifiers.meta.FilteredClassifier4925519254537806943.model -1 1131024 model_serialized https://api.openml.org/data/download/1131024/WekaSerialized_weka.classifiers.meta.FilteredClassifier6702483075862751817.model -1 1131023 predictions https://api.openml.org/data/download/1131023/weka_generated_predictions7602257769279023253.arff area_under_roc_curve 0.845074 [0.845074,0.845074] average_cost 0 f_measure 0.831558 [0.899177,0.626669] kappa 0.529388 kb_relative_information_score 17494.434472 mean_absolute_error 0.222843 mean_prior_absolute_error 0.373185 number_of_instances 45620 [34300,11320] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.833555 [0.860385,0.752258] predictive_accuracy 0.841232 prior_entropy 0.808488 recall 0.841232 [0.941633,0.537014] relative_absolute_error 0.597139 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.342627 root_relative_squared_error 0.793243 scimark_benchmark 1318.302662 [807.1451315240397, 987.1695626777254, 532.8743896508222, 1087.2832789229374, 3177.0409487496904] total_cost 0 usercpu_time_millis 150 usercpu_time_millis_testing 10 usercpu_time_millis_training 140 area_under_roc_curve 0.837233 [0.837233,0.837233] area_under_roc_curve 0.855787 [0.855787,0.855787] area_under_roc_curve 0.855417 [0.855417,0.855417] area_under_roc_curve 0.911974 [0.911974,0.911974] area_under_roc_curve 0.861874 [0.861874,0.861874] area_under_roc_curve 0.804128 [0.804128,0.804128] area_under_roc_curve 0.817388 [0.817388,0.817388] area_under_roc_curve 0.834753 [0.834753,0.834753] area_under_roc_curve 0.845225 [0.845225,0.845225] area_under_roc_curve 0.874418 [0.874418,0.874418] area_under_roc_curve 0.8736 [0.8736,0.8736] area_under_roc_curve 0.868204 [0.868204,0.868204] area_under_roc_curve 0.830482 [0.830482,0.830482] area_under_roc_curve 0.835085 [0.835085,0.835085] area_under_roc_curve 0.83676 [0.83676,0.83676] area_under_roc_curve 0.842425 [0.842425,0.842425] area_under_roc_curve 0.848793 [0.848793,0.848793] area_under_roc_curve 0.862168 [0.862168,0.862168] area_under_roc_curve 0.849317 [0.849317,0.849317] area_under_roc_curve 0.832093 [0.832093,0.832093] area_under_roc_curve 0.785521 [0.785521,0.785521] area_under_roc_curve 0.866986 [0.866986,0.866986] area_under_roc_curve 0.867399 [0.867399,0.867399] area_under_roc_curve 0.832013 [0.832013,0.832013] area_under_roc_curve 0.852666 [0.852666,0.852666] area_under_roc_curve 0.849209 [0.849209,0.849209] area_under_roc_curve 0.829407 [0.829407,0.829407] area_under_roc_curve 0.854034 [0.854034,0.854034] area_under_roc_curve 0.836838 [0.836838,0.836838] area_under_roc_curve 0.850409 [0.850409,0.850409] area_under_roc_curve 0.848422 [0.848422,0.848422] area_under_roc_curve 0.84432 [0.84432,0.84432] area_under_roc_curve 0.872533 [0.872533,0.872533] area_under_roc_curve 0.830426 [0.830426,0.830426] area_under_roc_curve 0.857194 [0.857194,0.857194] area_under_roc_curve 0.85197 [0.85197,0.85197] area_under_roc_curve 0.817591 [0.817591,0.817591] area_under_roc_curve 0.824983 [0.824983,0.824983] area_under_roc_curve 0.866199 [0.866199,0.866199] area_under_roc_curve 0.879796 [0.879796,0.879796] area_under_roc_curve 0.864393 [0.864393,0.864393] area_under_roc_curve 0.836709 [0.836709,0.836709] area_under_roc_curve 0.860807 [0.860807,0.860807] area_under_roc_curve 0.863258 [0.863258,0.863258] area_under_roc_curve 0.879241 [0.879241,0.879241] area_under_roc_curve 0.857956 [0.857956,0.857956] area_under_roc_curve 0.853157 [0.853157,0.853157] area_under_roc_curve 0.854924 [0.854924,0.854924] area_under_roc_curve 0.838683 [0.838683,0.838683] area_under_roc_curve 0.826776 [0.826776,0.826776] area_under_roc_curve 0.866276 [0.866276,0.866276] area_under_roc_curve 0.858923 [0.858923,0.858923] area_under_roc_curve 0.83667 [0.83667,0.83667] area_under_roc_curve 0.841663 [0.841663,0.841663] area_under_roc_curve 0.836502 [0.836502,0.836502] area_under_roc_curve 0.810031 [0.810031,0.810031] area_under_roc_curve 0.863928 [0.863928,0.863928] area_under_roc_curve 0.847687 [0.847687,0.847687] area_under_roc_curve 0.861194 [0.861194,0.861194] area_under_roc_curve 0.866857 [0.866857,0.866857] area_under_roc_curve 0.856111 [0.856111,0.856111] area_under_roc_curve 0.85633 [0.85633,0.85633] area_under_roc_curve 0.846939 [0.846939,0.846939] area_under_roc_curve 0.866637 [0.866637,0.866637] area_under_roc_curve 0.842566 [0.842566,0.842566] area_under_roc_curve 0.85971 [0.85971,0.85971] area_under_roc_curve 0.869334 [0.869334,0.869334] area_under_roc_curve 0.850099 [0.850099,0.850099] area_under_roc_curve 0.84214 [0.84214,0.84214] area_under_roc_curve 0.832465 [0.832465,0.832465] area_under_roc_curve 0.837406 [0.837406,0.837406] area_under_roc_curve 0.843688 [0.843688,0.843688] area_under_roc_curve 0.84076 [0.84076,0.84076] area_under_roc_curve 0.801852 [0.801852,0.801852] area_under_roc_curve 0.85642 [0.85642,0.85642] area_under_roc_curve 0.862638 [0.862638,0.862638] area_under_roc_curve 0.833587 [0.833587,0.833587] area_under_roc_curve 0.883988 [0.883988,0.883988] area_under_roc_curve 0.858949 [0.858949,0.858949] area_under_roc_curve 0.820132 [0.820132,0.820132] area_under_roc_curve 0.834993 [0.834993,0.834993] area_under_roc_curve 0.844759 [0.844759,0.844759] area_under_roc_curve 0.844772 [0.844772,0.844772] area_under_roc_curve 0.860948 [0.860948,0.860948] area_under_roc_curve 0.824247 [0.824247,0.824247] area_under_roc_curve 0.856059 [0.856059,0.856059] area_under_roc_curve 0.88871 [0.88871,0.88871] area_under_roc_curve 0.851247 [0.851247,0.851247] area_under_roc_curve 0.829007 [0.829007,0.829007] area_under_roc_curve 0.873384 [0.873384,0.873384] area_under_roc_curve 0.855466 [0.855466,0.855466] area_under_roc_curve 0.849029 [0.849029,0.849029] area_under_roc_curve 0.854434 [0.854434,0.854434] area_under_roc_curve 0.885743 [0.885743,0.885743] area_under_roc_curve 0.868637 [0.868637,0.868637] area_under_roc_curve 0.889961 [0.889961,0.889961] area_under_roc_curve 0.864135 [0.864135,0.864135] area_under_roc_curve 0.810599 [0.810599,0.810599] area_under_roc_curve 0.855466 [0.855466,0.855466] area_under_roc_curve 0.837212 [0.837212,0.837212] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.835058 [0.901252,0.635897] f_measure 0.8404 [0.903766,0.649746] f_measure 0.812573 [0.88227,0.602871] f_measure 0.854654 [0.909605,0.68932] f_measure 0.863725 [0.91989,0.694737] f_measure 0.81098 [0.896086,0.554913] f_measure 0.826521 [0.895397,0.619289] f_measure 0.8331 [0.899721,0.632653] f_measure 0.823828 [0.89415,0.612245] f_measure 0.841678 [0.905556,0.649485] f_measure 0.832583 [0.895184,0.644231] f_measure 0.853637 [0.914601,0.670213] f_measure 0.799273 [0.889189,0.528736] f_measure 0.839473 [0.906336,0.638298] f_measure 0.829342 [0.894217,0.634146] f_measure 0.836721 [0.905089,0.631016] f_measure 0.819009 [0.886686,0.615385] f_measure 0.823724 [0.90068,0.592179] f_measure 0.808323 [0.89071,0.56044] f_measure 0.827256 [0.899587,0.609626] f_measure 0.81046 [0.894022,0.556818] f_measure 0.829545 [0.893918,0.634146] f_measure 0.841214 [0.90085,0.660194] f_measure 0.824074 [0.902439,0.586207] f_measure 0.825577 [0.89779,0.606383] f_measure 0.838647 [0.901961,0.646465] f_measure 0.798238 [0.880886,0.547368] f_measure 0.842448 [0.907331,0.645503] f_measure 0.849111 [0.907042,0.673267] f_measure 0.841901 [0.905292,0.649485] f_measure 0.834037 [0.89916,0.636364] f_measure 0.835369 [0.90535,0.622951] f_measure 0.848498 [0.907303,0.67] f_measure 0.809081 [0.88359,0.582915] f_measure 0.835996 [0.900699,0.639594] f_measure 0.832771 [0.897328,0.636816] f_measure 0.81975 [0.888575,0.610837] f_measure 0.819767 [0.893204,0.596859] f_measure 0.843174 [0.907074,0.649215] f_measure 0.841544 [0.898135,0.669767] f_measure 0.837353 [0.900141,0.646766] f_measure 0.803657 [0.881119,0.568528] f_measure 0.835996 [0.900699,0.639594] f_measure 0.83225 [0.902069,0.620321] f_measure 0.837292 [0.897727,0.653846] f_measure 0.807623 [0.886427,0.568421] f_measure 0.835006 [0.903315,0.62766] f_measure 0.841701 [0.907586,0.641711] f_measure 0.845885 [0.906031,0.663317] f_measure 0.803702 [0.889796,0.542373] f_measure 0.838003 [0.899859,0.650246] f_measure 0.841195 [0.905556,0.645833] f_measure 0.834725 [0.898876,0.64] f_measure 0.81151 [0.891632,0.568306] f_measure 0.840615 [0.903497,0.649746] f_measure 0.81532 [0.896739,0.568182] f_measure 0.845865 [0.908333,0.65625] f_measure 0.822882 [0.892006,0.613065] f_measure 0.835288 [0.900976,0.635897] f_measure 0.849207 [0.909344,0.666667] f_measure 0.844124 [0.911081,0.640884] f_measure 0.827524 [0.89931,0.609626] f_measure 0.832771 [0.897328,0.636816] f_measure 0.84752 [0.900145,0.687783] f_measure 0.832083 [0.897616,0.633166] f_measure 0.840615 [0.903497,0.649746] f_measure 0.826936 [0.892655,0.627451] f_measure 0.814229 [0.890733,0.582011] f_measure 0.827952 [0.896936,0.618557] f_measure 0.799074 [0.884932,0.538462] f_measure 0.831435 [0.902338,0.616216] f_measure 0.834037 [0.89916,0.636364] f_measure 0.822082 [0.898907,0.588889] f_measure 0.806429 [0.893099,0.543353] f_measure 0.830134 [0.896067,0.63] f_measure 0.846551 [0.908078,0.659794] f_measure 0.831853 [0.9,0.625] f_measure 0.835394 [0.898592,0.643564] f_measure 0.840468 [0.905817,0.642105] f_measure 0.805654 [0.877841,0.586538] f_measure 0.81053 [0.889807,0.569892] f_measure 0.842448 [0.907331,0.645503] f_measure 0.815919 [0.890125,0.590674] f_measure 0.832602 [0.899721,0.628866] f_measure 0.819226 [0.883788,0.623256] f_measure 0.83922 [0.904033,0.642487] f_measure 0.865909 [0.916549,0.712195] f_measure 0.837292 [0.897727,0.653846] f_measure 0.832602 [0.899721,0.628866] f_measure 0.851854 [0.912863,0.666667] f_measure 0.847219 [0.907821,0.663265] f_measure 0.818074 [0.893793,0.588235] f_measure 0.830813 [0.904632,0.606742] f_measure 0.851399 [0.905983,0.685714] f_measure 0.831083 [0.900277,0.621053] f_measure 0.861697 [0.915966,0.69697] f_measure 0.843687 [0.909091,0.645161] f_measure 0.826891 [0.901639,0.6] f_measure 0.816729 [0.889819,0.594872] f_measure 0.826217 [0.887931,0.638889] kappa 0.540717 kappa 0.556529 kappa 0.486399 kappa 0.600251 kappa 0.61863 kappa 0.463656 kappa 0.517966 kappa 0.535753 kappa 0.509961 kappa 0.558692 kappa 0.540666 kappa 0.589624 kappa 0.430815 kappa 0.54991 kappa 0.530074 kappa 0.541771 kappa 0.503423 kappa 0.501948 kappa 0.459731 kappa 0.515207 kappa 0.461238 kappa 0.529496 kappa 0.562248 kappa 0.499192 kappa 0.509378 kappa 0.550916 kappa 0.433606 kappa 0.557269 kappa 0.581988 kappa 0.558026 kappa 0.538085 kappa 0.534749 kappa 0.579301 kappa 0.469232 kappa 0.543022 kappa 0.536172 kappa 0.501246 kappa 0.494559 kappa 0.5602 kappa 0.568251 kappa 0.54888 kappa 0.452913 kappa 0.543022 kappa 0.527689 kappa 0.552563 kappa 0.45995 kappa 0.535898 kappa 0.554298 kappa 0.571549 kappa 0.442459 kappa 0.551753 kappa 0.555109 kappa 0.541055 kappa 0.467321 kappa 0.555894 kappa 0.475052 kappa 0.568194 kappa 0.507601 kappa 0.540035 kappa 0.578905 kappa 0.558718 kappa 0.514384 kappa 0.536172 kappa 0.587995 kappa 0.53318 kappa 0.555894 kappa 0.521709 kappa 0.477974 kappa 0.519028 kappa 0.431675 kappa 0.524498 kappa 0.538085 kappa 0.495892 kappa 0.448567 kappa 0.528307 kappa 0.571025 kappa 0.528939 kappa 0.543987 kappa 0.552153 kappa 0.465562 kappa 0.466027 kappa 0.557269 kappa 0.484842 kappa 0.532028 kappa 0.507441 kappa 0.550051 kappa 0.62987 kappa 0.552563 kappa 0.532028 kappa 0.5837 kappa 0.57382 kappa 0.487775 kappa 0.519841 kappa 0.592405 kappa 0.52581 kappa 0.615071 kappa 0.559472 kappa 0.509516 kappa 0.488208 kappa 0.527134 kb_relative_information_score 179.431566 kb_relative_information_score 176.664479 kb_relative_information_score 162.566648 kb_relative_information_score 209.694139 kb_relative_information_score 202.238991 kb_relative_information_score 161.837319 kb_relative_information_score 171.481935 kb_relative_information_score 165.38343 kb_relative_information_score 167.455255 kb_relative_information_score 184.313038 kb_relative_information_score 186.435886 kb_relative_information_score 199.107772 kb_relative_information_score 147.95127 kb_relative_information_score 183.797824 kb_relative_information_score 176.338671 kb_relative_information_score 176.18851 kb_relative_information_score 176.769184 kb_relative_information_score 173.557466 kb_relative_information_score 166.542073 kb_relative_information_score 170.949436 kb_relative_information_score 150.068077 kb_relative_information_score 182.05262 kb_relative_information_score 171.876197 kb_relative_information_score 174.603211 kb_relative_information_score 176.111765 kb_relative_information_score 166.020106 kb_relative_information_score 144.640317 kb_relative_information_score 192.33617 kb_relative_information_score 190.729409 kb_relative_information_score 185.379561 kb_relative_information_score 169.623813 kb_relative_information_score 186.581335 kb_relative_information_score 194.459136 kb_relative_information_score 153.633241 kb_relative_information_score 178.538319 kb_relative_information_score 176.809849 kb_relative_information_score 156.472371 kb_relative_information_score 157.18918 kb_relative_information_score 185.350771 kb_relative_information_score 194.675963 kb_relative_information_score 177.597594 kb_relative_information_score 150.191796 kb_relative_information_score 184.620662 kb_relative_information_score 190.692378 kb_relative_information_score 179.63485 kb_relative_information_score 159.67601 kb_relative_information_score 183.658602 kb_relative_information_score 190.804303 kb_relative_information_score 184.56758 kb_relative_information_score 151.015041 kb_relative_information_score 187.902646 kb_relative_information_score 170.139746 kb_relative_information_score 173.531913 kb_relative_information_score 163.401631 kb_relative_information_score 173.429986 kb_relative_information_score 154.733097 kb_relative_information_score 185.324422 kb_relative_information_score 175.100867 kb_relative_information_score 175.696844 kb_relative_information_score 200.547145 kb_relative_information_score 181.380987 kb_relative_information_score 155.657483 kb_relative_information_score 171.972761 kb_relative_information_score 170.923511 kb_relative_information_score 177.711973 kb_relative_information_score 180.68005 kb_relative_information_score 180.545416 kb_relative_information_score 159.100207 kb_relative_information_score 176.158522 kb_relative_information_score 158.928591 kb_relative_information_score 164.479812 kb_relative_information_score 173.840674 kb_relative_information_score 175.627677 kb_relative_information_score 142.233082 kb_relative_information_score 173.845363 kb_relative_information_score 188.753239 kb_relative_information_score 165.491994 kb_relative_information_score 190.850509 kb_relative_information_score 179.80848 kb_relative_information_score 145.826864 kb_relative_information_score 167.635726 kb_relative_information_score 181.329262 kb_relative_information_score 168.25784 kb_relative_information_score 172.263125 kb_relative_information_score 153.915049 kb_relative_information_score 185.433884 kb_relative_information_score 202.12494 kb_relative_information_score 169.608942 kb_relative_information_score 171.978439 kb_relative_information_score 192.686839 kb_relative_information_score 172.755815 kb_relative_information_score 170.571416 kb_relative_information_score 179.677708 kb_relative_information_score 203.528058 kb_relative_information_score 183.755667 kb_relative_information_score 193.161844 kb_relative_information_score 183.928486 kb_relative_information_score 159.624099 kb_relative_information_score 166.452358 kb_relative_information_score 163.804361 mean_absolute_error 0.220464 mean_absolute_error 0.225108 mean_absolute_error 0.232558 mean_absolute_error 0.199565 mean_absolute_error 0.207499 mean_absolute_error 0.23108 mean_absolute_error 0.225637 mean_absolute_error 0.232254 mean_absolute_error 0.228434 mean_absolute_error 0.216701 mean_absolute_error 0.214687 mean_absolute_error 0.208722 mean_absolute_error 0.242128 mean_absolute_error 0.217802 mean_absolute_error 0.22193 mean_absolute_error 0.223294 mean_absolute_error 0.223738 mean_absolute_error 0.223543 mean_absolute_error 0.23184 mean_absolute_error 0.225683 mean_absolute_error 0.240612 mean_absolute_error 0.216649 mean_absolute_error 0.225865 mean_absolute_error 0.223341 mean_absolute_error 0.220704 mean_absolute_error 0.230639 mean_absolute_error 0.242107 mean_absolute_error 0.208932 mean_absolute_error 0.211326 mean_absolute_error 0.216984 mean_absolute_error 0.227185 mean_absolute_error 0.212602 mean_absolute_error 0.20935 mean_absolute_error 0.237888 mean_absolute_error 0.220921 mean_absolute_error 0.221991 mean_absolute_error 0.235581 mean_absolute_error 0.232715 mean_absolute_error 0.212666 mean_absolute_error 0.209354 mean_absolute_error 0.222118 mean_absolute_error 0.237096 mean_absolute_error 0.215059 mean_absolute_error 0.211566 mean_absolute_error 0.221441 mean_absolute_error 0.231778 mean_absolute_error 0.215515 mean_absolute_error 0.213047 mean_absolute_error 0.217423 mean_absolute_error 0.240334 mean_absolute_error 0.21078 mean_absolute_error 0.228192 mean_absolute_error 0.224306 mean_absolute_error 0.229885 mean_absolute_error 0.222786 mean_absolute_error 0.235421 mean_absolute_error 0.215488 mean_absolute_error 0.220357 mean_absolute_error 0.219638 mean_absolute_error 0.204863 mean_absolute_error 0.21722 mean_absolute_error 0.236074 mean_absolute_error 0.22247 mean_absolute_error 0.228283 mean_absolute_error 0.219937 mean_absolute_error 0.220273 mean_absolute_error 0.218759 mean_absolute_error 0.233159 mean_absolute_error 0.221983 mean_absolute_error 0.23414 mean_absolute_error 0.228911 mean_absolute_error 0.224395 mean_absolute_error 0.220178 mean_absolute_error 0.244708 mean_absolute_error 0.222868 mean_absolute_error 0.214123 mean_absolute_error 0.230779 mean_absolute_error 0.212153 mean_absolute_error 0.219712 mean_absolute_error 0.240418 mean_absolute_error 0.226771 mean_absolute_error 0.216671 mean_absolute_error 0.226738 mean_absolute_error 0.224743 mean_absolute_error 0.239157 mean_absolute_error 0.214536 mean_absolute_error 0.205177 mean_absolute_error 0.226561 mean_absolute_error 0.224406 mean_absolute_error 0.212335 mean_absolute_error 0.226288 mean_absolute_error 0.228353 mean_absolute_error 0.218104 mean_absolute_error 0.203104 mean_absolute_error 0.217757 mean_absolute_error 0.208532 mean_absolute_error 0.216936 mean_absolute_error 0.233999 mean_absolute_error 0.229314 mean_absolute_error 0.227151 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] 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number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] precision 0.837687 [0.861702,0.765432] precision 0.842556 [0.86631,0.771084] precision 0.810234 [0.859116,0.663158] precision 0.854639 [0.882192,0.771739] precision 0.87262 [0.874016,0.868421] precision 0.829029 [0.834171,0.813559] precision 0.827519 [0.858289,0.73494] precision 0.835082 [0.861333,0.756098] precision 0.824995 [0.856,0.731707] precision 0.845458 [0.864721,0.7875] precision 0.83117 [0.870523,0.712766] precision 0.862977 [0.866841,0.851351] precision 0.813237 [0.828715,0.766667] precision 0.846985 [0.859008,0.810811] precision 0.828245 [0.86612,0.714286] precision 0.844659 [0.856771,0.808219] precision 0.817006 [0.862259,0.680851] precision 0.837153 [0.844388,0.815385] precision 0.816083 [0.838046,0.75] precision 0.833916 [0.851562,0.780822] precision 0.822437 [0.83715,0.777778] precision 0.828084 [0.868132,0.706522] precision 0.840138 [0.876033,0.731183] precision 0.84131 [0.843038,0.836066] precision 0.829968 [0.853018,0.76] precision 0.839431 [0.867925,0.752941] precision 0.798478 [0.83905,0.675325] precision 0.848159 [0.863158,0.802632] precision 0.849298 [0.877384,0.764045] precision 0.844639 [0.866667,0.777778] precision 0.834488 [0.865229,0.741176] precision 0.844852 [0.854922,0.814286] precision 0.849264 [0.875339,0.770115] precision 0.807506 [0.851351,0.674419] precision 0.836947 [0.865591,0.75] precision 0.83226 [0.866848,0.727273] precision 0.818091 [0.860656,0.688889] precision 0.821847 [0.851852,0.730769] precision 0.847681 [0.865079,0.794872] precision 0.839997 [0.884181,0.705882] precision 0.83712 [0.869565,0.738636] precision 0.802142 [0.846774,0.666667] precision 0.836947 [0.865591,0.75] precision 0.83812 [0.856021,0.783784] precision 0.835807 [0.875346,0.715789] precision 0.808884 [0.844327,0.701299] precision 0.840524 [0.858268,0.786667] precision 0.848756 [0.861257,0.810811] precision 0.846822 [0.872973,0.767442] precision 0.813322 [0.834184,0.75] precision 0.837325 [0.871585,0.733333] precision 0.844919 [0.864721,0.78481] precision 0.834603 [0.867209,0.735632] precision 0.817408 [0.841969,0.742857] precision 0.841919 [0.86828,0.761905] precision 0.828285 [0.839695,0.793651] precision 0.850051 [0.867374,0.797468] precision 0.822249 [0.859459,0.709302] precision 0.836987 [0.863636,0.756098] precision 0.852087 [0.871658,0.792683] precision 0.856932 [0.858247,0.852941] precision 0.832802 [0.853403,0.77027] precision 0.83226 [0.866848,0.727273] precision 0.846601 [0.893678,0.703704] precision 0.832078 [0.864865,0.732558] precision 0.841919 [0.86828,0.761905] precision 0.825496 [0.865753,0.703297] precision 0.816719 [0.847368,0.723684] precision 0.829444 [0.858667,0.740741] precision 0.803778 [0.834625,0.710145] precision 0.838679 [0.854167,0.791667] precision 0.834488 [0.865229,0.741176] precision 0.8322 [0.845758,0.791045] precision 0.820943 [0.833333,0.783333] precision 0.829716 [0.864499,0.724138] precision 0.849705 [0.869333,0.790123] precision 0.834655 [0.859416,0.759494] precision 0.834796 [0.86921,0.730337] precision 0.845304 [0.862797,0.792208] precision 0.802962 [0.855956,0.642105] precision 0.814271 [0.843342,0.726027] precision 0.848159 [0.863158,0.802632] precision 0.816727 [0.851064,0.7125] precision 0.834509 [0.861333,0.753086] precision 0.817226 [0.870056,0.656863] precision 0.842217 [0.864362,0.775] precision 0.866164 [0.89011,0.793478] precision 0.835807 [0.875346,0.715789] precision 0.834509 [0.861333,0.753086] precision 0.858639 [0.868421,0.828947] precision 0.849462 [0.871314,0.783133] precision 0.822167 [0.848168,0.743243] precision 0.844561 [0.849105,0.830769] precision 0.850227 [0.885794,0.742268] precision 0.834898 [0.85752,0.766234] precision 0.864145 [0.881402,0.811765] precision 0.851781 [0.861619,0.821918] precision 0.837832 [0.848329,0.80597] precision 0.816855 [0.852941,0.707317] precision 0.824442 [0.875354,0.669903] predictive_accuracy 0.844639 predictive_accuracy 0.849015 predictive_accuracy 0.818381 predictive_accuracy 0.859956 predictive_accuracy 0.873085 predictive_accuracy 0.83151 predictive_accuracy 0.835886 predictive_accuracy 0.842451 predictive_accuracy 0.833698 predictive_accuracy 0.851204 predictive_accuracy 0.838074 predictive_accuracy 0.864333 predictive_accuracy 0.820569 predictive_accuracy 0.851204 predictive_accuracy 0.835886 predictive_accuracy 0.849015 predictive_accuracy 0.824945 predictive_accuracy 0.840263 predictive_accuracy 0.824945 predictive_accuracy 0.840263 predictive_accuracy 0.828947 predictive_accuracy 0.835526 predictive_accuracy 0.846491 predictive_accuracy 0.842105 predictive_accuracy 0.837719 predictive_accuracy 0.846491 predictive_accuracy 0.811404 predictive_accuracy 0.85307 predictive_accuracy 0.855263 predictive_accuracy 0.850877 predictive_accuracy 0.842105 predictive_accuracy 0.848684 predictive_accuracy 0.855263 predictive_accuracy 0.817982 predictive_accuracy 0.844298 predictive_accuracy 0.839912 predictive_accuracy 0.826754 predictive_accuracy 0.83114 predictive_accuracy 0.85307 predictive_accuracy 0.844298 predictive_accuracy 0.844298 predictive_accuracy 0.813596 predictive_accuracy 0.844298 predictive_accuracy 0.844298 predictive_accuracy 0.842105 predictive_accuracy 0.820175 predictive_accuracy 0.846491 predictive_accuracy 0.85307 predictive_accuracy 0.85307 predictive_accuracy 0.822368 predictive_accuracy 0.844298 predictive_accuracy 0.850877 predictive_accuracy 0.842105 predictive_accuracy 0.826754 predictive_accuracy 0.848684 predictive_accuracy 0.833333 predictive_accuracy 0.855263 predictive_accuracy 0.83114 predictive_accuracy 0.844298 predictive_accuracy 0.857456 predictive_accuracy 0.857456 predictive_accuracy 0.839912 predictive_accuracy 0.839912 predictive_accuracy 0.848684 predictive_accuracy 0.839912 predictive_accuracy 0.848684 predictive_accuracy 0.833333 predictive_accuracy 0.826754 predictive_accuracy 0.837719 predictive_accuracy 0.815789 predictive_accuracy 0.844298 predictive_accuracy 0.842105 predictive_accuracy 0.837719 predictive_accuracy 0.826754 predictive_accuracy 0.837719 predictive_accuracy 0.855263 predictive_accuracy 0.842105 predictive_accuracy 0.842105 predictive_accuracy 0.850877 predictive_accuracy 0.811404 predictive_accuracy 0.824561 predictive_accuracy 0.85307 predictive_accuracy 0.826754 predictive_accuracy 0.842105 predictive_accuracy 0.822368 predictive_accuracy 0.848684 predictive_accuracy 0.870614 predictive_accuracy 0.842105 predictive_accuracy 0.842105 predictive_accuracy 0.861842 predictive_accuracy 0.855263 predictive_accuracy 0.83114 predictive_accuracy 0.846491 predictive_accuracy 0.855263 predictive_accuracy 0.842105 predictive_accuracy 0.868421 predictive_accuracy 0.855263 predictive_accuracy 0.842105 predictive_accuracy 0.826754 predictive_accuracy 0.828947 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 recall 0.844639 [0.944606,0.54386] recall 0.849015 [0.944606,0.561404] recall 0.818381 [0.906706,0.552632] recall 0.859956 [0.938776,0.622807] recall 0.873085 [0.970845,0.578947] recall 0.83151 [0.96793,0.421053] recall 0.835886 [0.93586,0.535088] recall 0.842451 [0.941691,0.54386] recall 0.833698 [0.93586,0.526316] recall 0.851204 [0.950437,0.552632] recall 0.838074 [0.921283,0.587719] recall 0.864333 [0.96793,0.552632] recall 0.820569 [0.959184,0.403509] recall 0.851204 [0.959184,0.526316] recall 0.835886 [0.924198,0.570175] recall 0.849015 [0.959184,0.517544] recall 0.824945 [0.912536,0.561404] recall 0.840263 [0.965015,0.464912] recall 0.824945 [0.950437,0.447368] recall 0.840263 [0.953353,0.5] recall 0.828947 [0.959184,0.433628] recall 0.835526 [0.921283,0.575221] recall 0.846491 [0.927114,0.60177] recall 0.842105 [0.970845,0.451327] recall 0.837719 [0.947522,0.504425] recall 0.846491 [0.938776,0.566372] recall 0.811404 [0.927114,0.460177] recall 0.85307 [0.956268,0.539823] recall 0.855263 [0.938776,0.60177] recall 0.850877 [0.947522,0.557522] recall 0.842105 [0.93586,0.557522] recall 0.848684 [0.962099,0.504425] recall 0.855263 [0.941691,0.59292] recall 0.817982 [0.918367,0.513274] recall 0.844298 [0.938776,0.557522] recall 0.839912 [0.930029,0.566372] recall 0.826754 [0.918367,0.548673] recall 0.83114 [0.938776,0.504425] recall 0.85307 [0.953353,0.548673] recall 0.844298 [0.912536,0.637168] recall 0.844298 [0.932945,0.575221] recall 0.813596 [0.918367,0.495575] recall 0.844298 [0.938776,0.557522] recall 0.844298 [0.953353,0.513274] recall 0.842105 [0.921283,0.60177] recall 0.820175 [0.932945,0.477876] recall 0.846491 [0.953353,0.522124] recall 0.85307 [0.959184,0.530973] recall 0.85307 [0.941691,0.584071] recall 0.822368 [0.953353,0.424779] recall 0.844298 [0.930029,0.584071] recall 0.850877 [0.950437,0.548673] recall 0.842105 [0.932945,0.566372] recall 0.826754 [0.947522,0.460177] recall 0.848684 [0.941691,0.566372] recall 0.833333 [0.962099,0.442478] recall 0.855263 [0.953353,0.557522] recall 0.83114 [0.927114,0.539823] recall 0.844298 [0.941691,0.548673] recall 0.857456 [0.950437,0.575221] recall 0.857456 [0.970845,0.513274] recall 0.839912 [0.950437,0.504425] recall 0.839912 [0.930029,0.566372] recall 0.848684 [0.906706,0.672566] recall 0.839912 [0.932945,0.557522] recall 0.848684 [0.941691,0.566372] recall 0.833333 [0.921283,0.566372] recall 0.826754 [0.938776,0.486726] recall 0.837719 [0.938776,0.530973] recall 0.815789 [0.941691,0.433628] recall 0.844298 [0.956268,0.504425] recall 0.842105 [0.93586,0.557522] recall 0.837719 [0.959184,0.469027] recall 0.826754 [0.962099,0.415929] recall 0.837719 [0.930029,0.557522] recall 0.855263 [0.950437,0.566372] recall 0.842105 [0.944606,0.530973] recall 0.842105 [0.930029,0.575221] recall 0.850877 [0.953353,0.539823] recall 0.811404 [0.900875,0.539823] recall 0.824561 [0.941691,0.469027] recall 0.85307 [0.956268,0.539823] recall 0.826754 [0.932945,0.504425] recall 0.842105 [0.941691,0.539823] recall 0.822368 [0.897959,0.59292] recall 0.848684 [0.947522,0.548673] recall 0.870614 [0.944606,0.646018] recall 0.842105 [0.921283,0.60177] recall 0.842105 [0.941691,0.539823] recall 0.861842 [0.962099,0.557522] recall 0.855263 [0.947522,0.575221] recall 0.83114 [0.944606,0.486726] recall 0.846491 [0.96793,0.477876] recall 0.855263 [0.927114,0.637168] recall 0.842105 [0.947522,0.522124] recall 0.868421 [0.953353,0.610619] recall 0.855263 [0.962099,0.530973] recall 0.842105 [0.962099,0.477876] recall 0.826754 [0.930029,0.513274] recall 0.828947 [0.900875,0.610619] relative_absolute_error 0.589716 relative_absolute_error 0.602137 relative_absolute_error 0.622065 relative_absolute_error 0.533813 relative_absolute_error 0.555035 relative_absolute_error 0.618113 relative_absolute_error 0.603553 relative_absolute_error 0.621251 relative_absolute_error 0.611035 relative_absolute_error 0.57965 relative_absolute_error 0.574264 relative_absolute_error 0.558307 relative_absolute_error 0.647665 relative_absolute_error 0.582595 relative_absolute_error 0.593636 relative_absolute_error 0.597285 relative_absolute_error 0.598473 relative_absolute_error 0.597952 relative_absolute_error 0.620146 relative_absolute_error 0.603676 relative_absolute_error 0.645039 relative_absolute_error 0.580797 relative_absolute_error 0.605505 relative_absolute_error 0.598738 relative_absolute_error 0.591669 relative_absolute_error 0.618304 relative_absolute_error 0.649047 relative_absolute_error 0.560109 relative_absolute_error 0.566529 relative_absolute_error 0.581695 relative_absolute_error 0.609043 relative_absolute_error 0.56995 relative_absolute_error 0.561231 relative_absolute_error 0.637736 relative_absolute_error 0.592251 relative_absolute_error 0.59512 relative_absolute_error 0.631552 relative_absolute_error 0.623869 relative_absolute_error 0.570121 relative_absolute_error 0.561243 relative_absolute_error 0.595459 relative_absolute_error 0.635613 relative_absolute_error 0.576535 relative_absolute_error 0.567172 relative_absolute_error 0.593644 relative_absolute_error 0.621356 relative_absolute_error 0.577758 relative_absolute_error 0.571142 relative_absolute_error 0.582874 relative_absolute_error 0.644293 relative_absolute_error 0.565063 relative_absolute_error 0.611744 relative_absolute_error 0.601326 relative_absolute_error 0.616281 relative_absolute_error 0.59725 relative_absolute_error 0.631124 relative_absolute_error 0.577686 relative_absolute_error 0.59074 relative_absolute_error 0.58881 relative_absolute_error 0.549202 relative_absolute_error 0.58233 relative_absolute_error 0.632874 relative_absolute_error 0.596402 relative_absolute_error 0.611987 relative_absolute_error 0.589613 relative_absolute_error 0.590512 relative_absolute_error 0.586456 relative_absolute_error 0.625058 relative_absolute_error 0.595098 relative_absolute_error 0.62769 relative_absolute_error 0.613672 relative_absolute_error 0.601563 relative_absolute_error 0.590258 relative_absolute_error 0.656018 relative_absolute_error 0.597469 relative_absolute_error 0.574026 relative_absolute_error 0.618679 relative_absolute_error 0.568746 relative_absolute_error 0.589009 relative_absolute_error 0.644519 relative_absolute_error 0.607933 relative_absolute_error 0.580857 relative_absolute_error 0.607846 relative_absolute_error 0.602497 relative_absolute_error 0.641138 relative_absolute_error 0.575134 relative_absolute_error 0.550044 relative_absolute_error 0.60737 relative_absolute_error 0.601592 relative_absolute_error 0.569233 relative_absolute_error 0.606637 relative_absolute_error 0.612176 relative_absolute_error 0.5847 relative_absolute_error 0.544486 relative_absolute_error 0.583768 relative_absolute_error 0.559037 relative_absolute_error 0.581567 relative_absolute_error 0.62731 relative_absolute_error 0.614751 relative_absolute_error 0.608952 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_squared_error 0.342993 root_mean_squared_error 0.335764 root_mean_squared_error 0.351638 root_mean_squared_error 0.31117 root_mean_squared_error 0.326387 root_mean_squared_error 0.363236 root_mean_squared_error 0.354236 root_mean_squared_error 0.346095 root_mean_squared_error 0.348635 root_mean_squared_error 0.332783 root_mean_squared_error 0.336108 root_mean_squared_error 0.325094 root_mean_squared_error 0.355473 root_mean_squared_error 0.342584 root_mean_squared_error 0.346686 root_mean_squared_error 0.338612 root_mean_squared_error 0.34583 root_mean_squared_error 0.338612 root_mean_squared_error 0.352463 root_mean_squared_error 0.35176 root_mean_squared_error 0.363294 root_mean_squared_error 0.339491 root_mean_squared_error 0.337919 root_mean_squared_error 0.346307 root_mean_squared_error 0.345026 root_mean_squared_error 0.340663 root_mean_squared_error 0.363632 root_mean_squared_error 0.331626 root_mean_squared_error 0.335707 root_mean_squared_error 0.337377 root_mean_squared_error 0.343764 root_mean_squared_error 0.333531 root_mean_squared_error 0.326281 root_mean_squared_error 0.358506 root_mean_squared_error 0.335671 root_mean_squared_error 0.341346 root_mean_squared_error 0.358657 root_mean_squared_error 0.349675 root_mean_squared_error 0.335234 root_mean_squared_error 0.330363 root_mean_squared_error 0.343363 root_mean_squared_error 0.358868 root_mean_squared_error 0.337708 root_mean_squared_error 0.335046 root_mean_squared_error 0.338251 root_mean_squared_error 0.350466 root_mean_squared_error 0.33706 root_mean_squared_error 0.331139 root_mean_squared_error 0.3406 root_mean_squared_error 0.356936 root_mean_squared_error 0.333692 root_mean_squared_error 0.33938 root_mean_squared_error 0.348632 root_mean_squared_error 0.352255 root_mean_squared_error 0.343574 root_mean_squared_error 0.356259 root_mean_squared_error 0.335838 root_mean_squared_error 0.349978 root_mean_squared_error 0.338893 root_mean_squared_error 0.327697 root_mean_squared_error 0.331997 root_mean_squared_error 0.342076 root_mean_squared_error 0.345651 root_mean_squared_error 0.335035 root_mean_squared_error 0.34524 root_mean_squared_error 0.340304 root_mean_squared_error 0.340344 root_mean_squared_error 0.351616 root_mean_squared_error 0.345365 root_mean_squared_error 0.362308 root_mean_squared_error 0.342128 root_mean_squared_error 0.344258 root_mean_squared_error 0.345416 root_mean_squared_error 0.361975 root_mean_squared_error 0.340959 root_mean_squared_error 0.328744 root_mean_squared_error 0.353654 root_mean_squared_error 0.332703 root_mean_squared_error 0.333304 root_mean_squared_error 0.367686 root_mean_squared_error 0.355066 root_mean_squared_error 0.338178 root_mean_squared_error 0.352077 root_mean_squared_error 0.341372 root_mean_squared_error 0.361227 root_mean_squared_error 0.335889 root_mean_squared_error 0.314407 root_mean_squared_error 0.349167 root_mean_squared_error 0.343446 root_mean_squared_error 0.321447 root_mean_squared_error 0.33673 root_mean_squared_error 0.356019 root_mean_squared_error 0.334158 root_mean_squared_error 0.319654 root_mean_squared_error 0.335555 root_mean_squared_error 0.31487 root_mean_squared_error 0.332956 root_mean_squared_error 0.353398 root_mean_squared_error 0.348927 root_mean_squared_error 0.352853 root_relative_squared_error 0.792684 root_relative_squared_error 0.775978 root_relative_squared_error 0.812664 root_relative_squared_error 0.719138 root_relative_squared_error 0.754307 root_relative_squared_error 0.839467 root_relative_squared_error 0.818667 root_relative_squared_error 0.799852 root_relative_squared_error 0.805722 root_relative_squared_error 0.769088 root_relative_squared_error 0.776772 root_relative_squared_error 0.751318 root_relative_squared_error 0.821527 root_relative_squared_error 0.791739 root_relative_squared_error 0.801219 root_relative_squared_error 0.782559 root_relative_squared_error 0.79924 root_relative_squared_error 0.782561 root_relative_squared_error 0.814569 root_relative_squared_error 0.812945 root_relative_squared_error 0.841466 root_relative_squared_error 0.786332 root_relative_squared_error 0.782693 root_relative_squared_error 0.802121 root_relative_squared_error 0.799154 root_relative_squared_error 0.789047 root_relative_squared_error 0.84225 root_relative_squared_error 0.768117 root_relative_squared_error 0.777569 root_relative_squared_error 0.781438 root_relative_squared_error 0.79623 root_relative_squared_error 0.772528 root_relative_squared_error 0.755737 root_relative_squared_error 0.830377 root_relative_squared_error 0.777485 root_relative_squared_error 0.790629 root_relative_squared_error 0.830726 root_relative_squared_error 0.809922 root_relative_squared_error 0.776473 root_relative_squared_error 0.765192 root_relative_squared_error 0.795301 root_relative_squared_error 0.831215 root_relative_squared_error 0.782203 root_relative_squared_error 0.776038 root_relative_squared_error 0.78346 root_relative_squared_error 0.811752 root_relative_squared_error 0.780701 root_relative_squared_error 0.766987 root_relative_squared_error 0.788902 root_relative_squared_error 0.826741 root_relative_squared_error 0.772902 root_relative_squared_error 0.786075 root_relative_squared_error 0.807505 root_relative_squared_error 0.815896 root_relative_squared_error 0.795789 root_relative_squared_error 0.825172 root_relative_squared_error 0.777872 root_relative_squared_error 0.810623 root_relative_squared_error 0.784949 root_relative_squared_error 0.759015 root_relative_squared_error 0.768976 root_relative_squared_error 0.792321 root_relative_squared_error 0.800601 root_relative_squared_error 0.776012 root_relative_squared_error 0.799649 root_relative_squared_error 0.788216 root_relative_squared_error 0.788309 root_relative_squared_error 0.814416 root_relative_squared_error 0.799938 root_relative_squared_error 0.839182 root_relative_squared_error 0.792441 root_relative_squared_error 0.797376 root_relative_squared_error 0.800057 root_relative_squared_error 0.838411 root_relative_squared_error 0.789734 root_relative_squared_error 0.76144 root_relative_squared_error 0.819137 root_relative_squared_error 0.77061 root_relative_squared_error 0.772002 root_relative_squared_error 0.851638 root_relative_squared_error 0.822409 root_relative_squared_error 0.783292 root_relative_squared_error 0.815484 root_relative_squared_error 0.79069 root_relative_squared_error 0.836678 root_relative_squared_error 0.77799 root_relative_squared_error 0.728232 root_relative_squared_error 0.808745 root_relative_squared_error 0.795494 root_relative_squared_error 0.744539 root_relative_squared_error 0.779939 root_relative_squared_error 0.824616 root_relative_squared_error 0.77398 root_relative_squared_error 0.740386 root_relative_squared_error 0.777218 root_relative_squared_error 0.729306 root_relative_squared_error 0.771196 root_relative_squared_error 0.818544 root_relative_squared_error 0.808189 root_relative_squared_error 0.817281 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 130 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 130 usercpu_time_millis 130 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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