338153 2 Joaquin Vanschoren 4601 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1160210 description https://api.openml.org/data/download/1160210/weka_generated_run9189014539576112754.xml -1 1160213 model_readable https://api.openml.org/data/download/1160213/WekaModel_weka.classifiers.trees.LADTree3232671417951501413.model -1 1160212 model_serialized https://api.openml.org/data/download/1160212/WekaSerialized_weka.classifiers.trees.LADTree5896729094880943547.model -1 1160211 predictions https://api.openml.org/data/download/1160211/weka_generated_predictions1968782139149256388.arff area_under_roc_curve 0.884077 [0.884077,0.884077] average_cost 0 f_measure 0.833823 [0.897296,0.6415] kappa 0.540515 kb_relative_information_score 17139.239127 mean_absolute_error 0.225061 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 0.832974 [0.868849,0.724272] predictive_accuracy 0.840333 prior_entropy 0.808488 recall 0.840333 [0.927668,0.575707] relative_absolute_error 0.603081 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.334678 root_relative_squared_error 0.774841 scimark_benchmark 1321.477063 [813.1658067645254, 995.0709712770484, 519.2175566671311, 1073.0413082631114, 3206.889673008628] total_cost 0 usercpu_time_millis 3000 usercpu_time_millis_testing 10 usercpu_time_millis_training 2990 area_under_roc_curve 0.881975 [0.881975,0.881975] area_under_roc_curve 0.888829 [0.888829,0.888829] area_under_roc_curve 0.874175 [0.874175,0.874175] area_under_roc_curve 0.905977 [0.905977,0.905977] area_under_roc_curve 0.887589 [0.887589,0.887589] area_under_roc_curve 0.852437 [0.852437,0.852437] area_under_roc_curve 0.87071 [0.87071,0.87071] area_under_roc_curve 0.860877 [0.860877,0.860877] area_under_roc_curve 0.875838 [0.875838,0.875838] area_under_roc_curve 0.883587 [0.883587,0.883587] area_under_roc_curve 0.893381 [0.893381,0.893381] area_under_roc_curve 0.877602 [0.877602,0.877602] area_under_roc_curve 0.887755 [0.887755,0.887755] area_under_roc_curve 0.893011 [0.893011,0.893011] area_under_roc_curve 0.880697 [0.880697,0.880697] area_under_roc_curve 0.884482 [0.884482,0.884482] area_under_roc_curve 0.873625 [0.873625,0.873625] area_under_roc_curve 0.888995 [0.888995,0.888995] area_under_roc_curve 0.871567 [0.871567,0.871567] area_under_roc_curve 0.883177 [0.883177,0.883177] area_under_roc_curve 0.862625 [0.862625,0.862625] area_under_roc_curve 0.907505 [0.907505,0.907505] area_under_roc_curve 0.903326 [0.903326,0.903326] area_under_roc_curve 0.889845 [0.889845,0.889845] area_under_roc_curve 0.891316 [0.891316,0.891316] area_under_roc_curve 0.877538 [0.877538,0.877538] area_under_roc_curve 0.883704 [0.883704,0.883704] area_under_roc_curve 0.882337 [0.882337,0.882337] area_under_roc_curve 0.887691 [0.887691,0.887691] area_under_roc_curve 0.898811 [0.898811,0.898811] area_under_roc_curve 0.898707 [0.898707,0.898707] area_under_roc_curve 0.896901 [0.896901,0.896901] area_under_roc_curve 0.884388 [0.884388,0.884388] area_under_roc_curve 0.866418 [0.866418,0.866418] area_under_roc_curve 0.875977 [0.875977,0.875977] area_under_roc_curve 0.89903 [0.89903,0.89903] area_under_roc_curve 0.873423 [0.873423,0.873423] area_under_roc_curve 0.879202 [0.879202,0.879202] area_under_roc_curve 0.893444 [0.893444,0.893444] area_under_roc_curve 0.89187 [0.89187,0.89187] area_under_roc_curve 0.89734 [0.89734,0.89734] area_under_roc_curve 0.847532 [0.847532,0.847532] area_under_roc_curve 0.881782 [0.881782,0.881782] area_under_roc_curve 0.880879 [0.880879,0.880879] area_under_roc_curve 0.890129 [0.890129,0.890129] area_under_roc_curve 0.885794 [0.885794,0.885794] area_under_roc_curve 0.892722 [0.892722,0.892722] area_under_roc_curve 0.886788 [0.886788,0.886788] area_under_roc_curve 0.876442 [0.876442,0.876442] area_under_roc_curve 0.876945 [0.876945,0.876945] area_under_roc_curve 0.905428 [0.905428,0.905428] area_under_roc_curve 0.900617 [0.900617,0.900617] area_under_roc_curve 0.866754 [0.866754,0.866754] area_under_roc_curve 0.876971 [0.876971,0.876971] area_under_roc_curve 0.846062 [0.846062,0.846062] area_under_roc_curve 0.883421 [0.883421,0.883421] area_under_roc_curve 0.884853 [0.884853,0.884853] area_under_roc_curve 0.892141 [0.892141,0.892141] area_under_roc_curve 0.898785 [0.898785,0.898785] area_under_roc_curve 0.883382 [0.883382,0.883382] area_under_roc_curve 0.887149 [0.887149,0.887149] area_under_roc_curve 0.877164 [0.877164,0.877164] area_under_roc_curve 0.889961 [0.889961,0.889961] area_under_roc_curve 0.890193 [0.890193,0.890193] area_under_roc_curve 0.876751 [0.876751,0.876751] area_under_roc_curve 0.880634 [0.880634,0.880634] area_under_roc_curve 0.872765 [0.872765,0.872765] area_under_roc_curve 0.907441 [0.907441,0.907441] area_under_roc_curve 0.870314 [0.870314,0.870314] area_under_roc_curve 0.858962 [0.858962,0.858962] area_under_roc_curve 0.883524 [0.883524,0.883524] area_under_roc_curve 0.894799 [0.894799,0.894799] area_under_roc_curve 0.875242 [0.875242,0.875242] area_under_roc_curve 0.859181 [0.859181,0.859181] area_under_roc_curve 0.903738 [0.903738,0.903738] area_under_roc_curve 0.88324 [0.88324,0.88324] area_under_roc_curve 0.887123 [0.887123,0.887123] area_under_roc_curve 0.894773 [0.894773,0.894773] area_under_roc_curve 0.884091 [0.884091,0.884091] area_under_roc_curve 0.874132 [0.874132,0.874132] area_under_roc_curve 0.870043 [0.870043,0.870043] area_under_roc_curve 0.874739 [0.874739,0.874739] area_under_roc_curve 0.864044 [0.864044,0.864044] area_under_roc_curve 0.870495 [0.870495,0.870495] area_under_roc_curve 0.873991 [0.873991,0.873991] area_under_roc_curve 0.905699 [0.905699,0.905699] area_under_roc_curve 0.914949 [0.914949,0.914949] area_under_roc_curve 0.881253 [0.881253,0.881253] area_under_roc_curve 0.883253 [0.883253,0.883253] area_under_roc_curve 0.908034 [0.908034,0.908034] area_under_roc_curve 0.870469 [0.870469,0.870469] area_under_roc_curve 0.88524 [0.88524,0.88524] area_under_roc_curve 0.908731 [0.908731,0.908731] area_under_roc_curve 0.920754 [0.920754,0.920754] area_under_roc_curve 0.908137 [0.908137,0.908137] area_under_roc_curve 0.894747 [0.894747,0.894747] area_under_roc_curve 0.902565 [0.902565,0.902565] area_under_roc_curve 0.870366 [0.870366,0.870366] area_under_roc_curve 0.890193 [0.890193,0.890193] area_under_roc_curve 0.868031 [0.868031,0.868031] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.839705 [0.904033,0.646154] f_measure 0.861252 [0.911429,0.71028] f_measure 0.825466 [0.891089,0.628019] f_measure 0.844759 [0.901849,0.672986] f_measure 0.861732 [0.91372,0.705314] f_measure 0.801654 [0.882108,0.559585] f_measure 0.835846 [0.898592,0.647059] f_measure 0.832583 [0.895184,0.644231] f_measure 0.800648 [0.880223,0.561224] f_measure 0.830638 [0.893617,0.641148] f_measure 0.822496 [0.882096,0.643172] f_measure 0.839108 [0.901961,0.65] f_measure 0.812142 [0.891632,0.572973] f_measure 0.852899 [0.910364,0.68] f_measure 0.812034 [0.889503,0.578947] f_measure 0.835774 [0.900976,0.639594] f_measure 0.826931 [0.897507,0.614583] f_measure 0.836919 [0.895565,0.660465] f_measure 0.822253 [0.894737,0.604167] f_measure 0.825309 [0.898072,0.606383] f_measure 0.819767 [0.893204,0.596859] f_measure 0.858409 [0.910128,0.701422] f_measure 0.853382 [0.907539,0.688995] f_measure 0.847219 [0.907821,0.663265] f_measure 0.809863 [0.883263,0.587065] f_measure 0.83409 [0.896747,0.643902] f_measure 0.813681 [0.886396,0.592965] f_measure 0.839316 [0.901685,0.65] f_measure 0.843181 [0.902405,0.663415] f_measure 0.843257 [0.904762,0.656566] f_measure 0.847978 [0.902579,0.682243] f_measure 0.839928 [0.903766,0.646154] f_measure 0.839036 [0.896848,0.663551] f_measure 0.810181 [0.885475,0.581633] f_measure 0.835935 [0.895863,0.654028] f_measure 0.842393 [0.900285,0.666667] f_measure 0.828877 [0.894217,0.630542] f_measure 0.837353 [0.900141,0.646766] f_measure 0.842566 [0.90268,0.660099] f_measure 0.84942 [0.904422,0.682464] f_measure 0.851399 [0.905983,0.685714] f_measure 0.788356 [0.866097,0.552381] f_measure 0.827483 [0.894811,0.623116] f_measure 0.83214 [0.895184,0.640777] f_measure 0.83789 [0.897436,0.657143] f_measure 0.81975 [0.888575,0.610837] f_measure 0.834564 [0.893983,0.654206] f_measure 0.827952 [0.896936,0.618557] f_measure 0.843257 [0.904762,0.656566] f_measure 0.822512 [0.894444,0.604167] f_measure 0.843779 [0.902128,0.666667] f_measure 0.849111 [0.907042,0.673267] f_measure 0.816679 [0.882521,0.616822] f_measure 0.820952 [0.890449,0.61] f_measure 0.812532 [0.884507,0.594059] f_measure 0.835288 [0.900976,0.635897] f_measure 0.835394 [0.898592,0.643564] f_measure 0.832037 [0.892704,0.647887] f_measure 0.834722 [0.896454,0.647343] f_measure 0.851399 [0.905983,0.685714] f_measure 0.841195 [0.905556,0.645833] f_measure 0.821803 [0.887624,0.62201] f_measure 0.854475 [0.911888,0.680203] f_measure 0.839585 [0.896552,0.666667] f_measure 0.824449 [0.895978,0.60733] f_measure 0.836684 [0.900421,0.643216] f_measure 0.833728 [0.891775,0.657534] f_measure 0.835996 [0.900699,0.639594] f_measure 0.815597 [0.887955,0.59596] f_measure 0.795319 [0.881868,0.532609] f_measure 0.836044 [0.898305,0.647059] f_measure 0.850851 [0.90625,0.682692] f_measure 0.821939 [0.896836,0.594595] f_measure 0.817292 [0.88478,0.61244] f_measure 0.839585 [0.896552,0.666667] f_measure 0.849953 [0.904149,0.685446] f_measure 0.852477 [0.910364,0.676768] f_measure 0.832772 [0.894886,0.644231] f_measure 0.848498 [0.907303,0.67] f_measure 0.815235 [0.877907,0.625] f_measure 0.807449 [0.88424,0.574359] f_measure 0.821939 [0.896836,0.594595] f_measure 0.805223 [0.872832,0.6] f_measure 0.812532 [0.884507,0.594059] f_measure 0.825074 [0.883041,0.649123] f_measure 0.850287 [0.906516,0.679612] f_measure 0.855371 [0.909091,0.692308] f_measure 0.847867 [0.907563,0.666667] f_measure 0.829427 [0.896359,0.626263] f_measure 0.845885 [0.906031,0.663317] f_measure 0.822354 [0.884726,0.633028] f_measure 0.841214 [0.90085,0.660194] f_measure 0.857087 [0.913165,0.686869] f_measure 0.852835 [0.907801,0.68599] f_measure 0.831435 [0.902338,0.616216] f_measure 0.843181 [0.902405,0.663415] f_measure 0.857087 [0.913165,0.686869] f_measure 0.845885 [0.906031,0.663317] f_measure 0.832771 [0.897328,0.636816] f_measure 0.840599 [0.90113,0.656863] kappa 0.553654 kappa 0.622203 kappa 0.520553 kappa 0.575662 kappa 0.620178 kappa 0.446566 kappa 0.54745 kappa 0.540666 kappa 0.445482 kappa 0.535902 kappa 0.525271 kappa 0.554407 kappa 0.471846 kappa 0.592601 kappa 0.473972 kappa 0.543675 kappa 0.516609 kappa 0.556529 kappa 0.503545 kappa 0.510196 kappa 0.494559 kappa 0.61214 kappa 0.597326 kappa 0.57382 kappa 0.472634 kappa 0.542043 kappa 0.482022 kappa 0.553804 kappa 0.567136 kappa 0.563747 kappa 0.585222 kappa 0.552992 kappa 0.560823 kappa 0.470503 kappa 0.550575 kappa 0.567702 kappa 0.526499 kappa 0.54888 kappa 0.564379 kappa 0.587514 kappa 0.592405 kappa 0.419486 kappa 0.52039 kappa 0.537234 kappa 0.555351 kappa 0.501246 kappa 0.548624 kappa 0.519028 kappa 0.563747 kappa 0.502769 kappa 0.569858 kappa 0.581988 kappa 0.499826 kappa 0.50281 kappa 0.480652 kappa 0.540035 kappa 0.543987 kappa 0.541112 kappa 0.544923 kappa 0.592405 kappa 0.555109 kappa 0.510597 kappa 0.594512 kappa 0.563509 kappa 0.507687 kappa 0.54597 kappa 0.549455 kappa 0.543022 kappa 0.486761 kappa 0.422087 kappa 0.546882 kappa 0.58985 kappa 0.497709 kappa 0.498207 kappa 0.563509 kappa 0.59006 kappa 0.589409 kappa 0.540135 kappa 0.579301 kappa 0.50292 kappa 0.462295 kappa 0.497709 kappa 0.472957 kappa 0.480652 kappa 0.532176 kappa 0.587262 kappa 0.602279 kappa 0.576578 kappa 0.525254 kappa 0.571549 kappa 0.517958 kappa 0.562248 kappa 0.60224 kappa 0.594794 kappa 0.524498 kappa 0.567136 kappa 0.60224 kappa 0.571549 kappa 0.536172 kappa 0.559469 kb_relative_information_score 173.491784 kb_relative_information_score 176.417765 kb_relative_information_score 159.941533 kb_relative_information_score 181.168283 kb_relative_information_score 193.760741 kb_relative_information_score 154.084299 kb_relative_information_score 161.139214 kb_relative_information_score 153.195949 kb_relative_information_score 158.745555 kb_relative_information_score 166.236641 kb_relative_information_score 173.156293 kb_relative_information_score 172.936492 kb_relative_information_score 170.033613 kb_relative_information_score 186.648455 kb_relative_information_score 173.240486 kb_relative_information_score 174.087344 kb_relative_information_score 172.754542 kb_relative_information_score 181.137967 kb_relative_information_score 171.947862 kb_relative_information_score 174.576607 kb_relative_information_score 157.906545 kb_relative_information_score 188.713462 kb_relative_information_score 178.193301 kb_relative_information_score 182.201959 kb_relative_information_score 165.966666 kb_relative_information_score 160.17053 kb_relative_information_score 167.903192 kb_relative_information_score 176.401515 kb_relative_information_score 179.569277 kb_relative_information_score 186.396649 kb_relative_information_score 185.243705 kb_relative_information_score 190.293571 kb_relative_information_score 171.429771 kb_relative_information_score 158.938775 kb_relative_information_score 168.434304 kb_relative_information_score 177.936822 kb_relative_information_score 156.683283 kb_relative_information_score 162.111496 kb_relative_information_score 172.548876 kb_relative_information_score 174.190877 kb_relative_information_score 177.381671 kb_relative_information_score 134.489747 kb_relative_information_score 176.728568 kb_relative_information_score 191.817403 kb_relative_information_score 172.937023 kb_relative_information_score 159.907257 kb_relative_information_score 183.203363 kb_relative_information_score 175.332373 kb_relative_information_score 178.605269 kb_relative_information_score 166.463383 kb_relative_information_score 184.971275 kb_relative_information_score 181.955641 kb_relative_information_score 159.050431 kb_relative_information_score 165.270111 kb_relative_information_score 146.357649 kb_relative_information_score 176.972313 kb_relative_information_score 174.46378 kb_relative_information_score 178.091951 kb_relative_information_score 179.894263 kb_relative_information_score 175.95664 kb_relative_information_score 174.499196 kb_relative_information_score 151.165886 kb_relative_information_score 176.44927 kb_relative_information_score 168.147663 kb_relative_information_score 169.864726 kb_relative_information_score 165.449569 kb_relative_information_score 162.637791 kb_relative_information_score 175.567453 kb_relative_information_score 155.855277 kb_relative_information_score 151.797817 kb_relative_information_score 171.621133 kb_relative_information_score 174.568181 kb_relative_information_score 179.935173 kb_relative_information_score 149.605822 kb_relative_information_score 184.810602 kb_relative_information_score 176.194426 kb_relative_information_score 178.613103 kb_relative_information_score 165.462831 kb_relative_information_score 174.453568 kb_relative_information_score 146.681608 kb_relative_information_score 160.193849 kb_relative_information_score 169.656448 kb_relative_information_score 151.49479 kb_relative_information_score 150.957325 kb_relative_information_score 142.118227 kb_relative_information_score 186.616597 kb_relative_information_score 189.527322 kb_relative_information_score 176.20116 kb_relative_information_score 174.688586 kb_relative_information_score 185.2499 kb_relative_information_score 147.912346 kb_relative_information_score 175.276478 kb_relative_information_score 189.17019 kb_relative_information_score 191.443461 kb_relative_information_score 189.983633 kb_relative_information_score 174.93841 kb_relative_information_score 191.801729 kb_relative_information_score 170.017728 kb_relative_information_score 162.340335 kb_relative_information_score 176.483405 mean_absolute_error 0.224263 mean_absolute_error 0.221629 mean_absolute_error 0.234721 mean_absolute_error 0.221435 mean_absolute_error 0.214501 mean_absolute_error 0.234498 mean_absolute_error 0.23265 mean_absolute_error 0.238169 mean_absolute_error 0.231507 mean_absolute_error 0.232271 mean_absolute_error 0.221995 mean_absolute_error 0.226566 mean_absolute_error 0.228987 mean_absolute_error 0.215763 mean_absolute_error 0.222294 mean_absolute_error 0.223419 mean_absolute_error 0.223918 mean_absolute_error 0.218435 mean_absolute_error 0.224899 mean_absolute_error 0.223265 mean_absolute_error 0.231053 mean_absolute_error 0.215233 mean_absolute_error 0.221196 mean_absolute_error 0.218065 mean_absolute_error 0.228599 mean_absolute_error 0.234922 mean_absolute_error 0.227402 mean_absolute_error 0.221346 mean_absolute_error 0.220866 mean_absolute_error 0.214085 mean_absolute_error 0.2168 mean_absolute_error 0.2107 mean_absolute_error 0.224862 mean_absolute_error 0.233816 mean_absolute_error 0.226686 mean_absolute_error 0.223645 mean_absolute_error 0.23715 mean_absolute_error 0.233691 mean_absolute_error 0.223173 mean_absolute_error 0.219258 mean_absolute_error 0.220899 mean_absolute_error 0.246896 mean_absolute_error 0.221066 mean_absolute_error 0.208525 mean_absolute_error 0.224685 mean_absolute_error 0.232911 mean_absolute_error 0.213286 mean_absolute_error 0.221511 mean_absolute_error 0.222175 mean_absolute_error 0.230125 mean_absolute_error 0.21666 mean_absolute_error 0.218144 mean_absolute_error 0.23072 mean_absolute_error 0.228427 mean_absolute_error 0.239585 mean_absolute_error 0.222581 mean_absolute_error 0.223206 mean_absolute_error 0.219301 mean_absolute_error 0.218564 mean_absolute_error 0.219033 mean_absolute_error 0.224267 mean_absolute_error 0.238942 mean_absolute_error 0.221597 mean_absolute_error 0.226749 mean_absolute_error 0.223973 mean_absolute_error 0.226799 mean_absolute_error 0.228639 mean_absolute_error 0.22418 mean_absolute_error 0.235244 mean_absolute_error 0.237559 mean_absolute_error 0.226096 mean_absolute_error 0.22174 mean_absolute_error 0.215877 mean_absolute_error 0.23816 mean_absolute_error 0.214222 mean_absolute_error 0.219897 mean_absolute_error 0.220942 mean_absolute_error 0.227706 mean_absolute_error 0.224768 mean_absolute_error 0.240117 mean_absolute_error 0.232051 mean_absolute_error 0.224489 mean_absolute_error 0.234167 mean_absolute_error 0.239416 mean_absolute_error 0.24571 mean_absolute_error 0.215402 mean_absolute_error 0.214449 mean_absolute_error 0.222058 mean_absolute_error 0.224797 mean_absolute_error 0.216546 mean_absolute_error 0.244225 mean_absolute_error 0.224209 mean_absolute_error 0.215905 mean_absolute_error 0.211688 mean_absolute_error 0.214553 mean_absolute_error 0.222241 mean_absolute_error 0.210796 mean_absolute_error 0.225252 mean_absolute_error 0.231826 mean_absolute_error 0.222786 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] 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 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] 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 0.842763 [0.864362,0.777778] precision 0.860241 [0.893557,0.76] precision 0.823861 [0.865385,0.698925] precision 0.843488 [0.880556,0.731959] precision 0.861815 [0.887363,0.784946] precision 0.801925 [0.84127,0.683544] precision 0.835315 [0.86921,0.733333] precision 0.83117 [0.870523,0.712766] precision 0.799777 [0.842667,0.670732] precision 0.82903 [0.870166,0.705263] precision 0.822243 [0.880814,0.646018] precision 0.839958 [0.867925,0.755814] precision 0.818149 [0.841969,0.746479] precision 0.854729 [0.876011,0.790698] precision 0.814846 [0.845144,0.723684] precision 0.837544 [0.863636,0.759036] precision 0.830317 [0.854881,0.75641] precision 0.835249 [0.879213,0.70297] precision 0.825139 [0.852243,0.74359] precision 0.830993 [0.851175,0.77027] precision 0.821847 [0.851852,0.730769] precision 0.85737 [0.891061,0.755102] precision 0.852382 [0.886111,0.75] precision 0.849462 [0.871314,0.783133] precision 0.80796 [0.853261,0.670455] precision 0.832844 [0.870879,0.717391] precision 0.812421 [0.854054,0.686047] precision 0.83949 [0.869919,0.747126] precision 0.842364 [0.876374,0.73913] precision 0.844374 [0.87062,0.764706] precision 0.846547 [0.887324,0.722772] precision 0.842021 [0.86631,0.768293] precision 0.837402 [0.88169,0.70297] precision 0.809444 [0.849866,0.686747] precision 0.834221 [0.877095,0.704082] precision 0.840927 [0.880223,0.721649] precision 0.827708 [0.86612,0.711111] precision 0.83712 [0.869565,0.738636] precision 0.842134 [0.874317,0.744444] precision 0.84811 [0.885475,0.734694] precision 0.850227 [0.885794,0.742268] precision 0.785128 [0.846797,0.597938] precision 0.827164 [0.862162,0.72093] precision 0.830665 [0.870523,0.709677] precision 0.836277 [0.877437,0.71134] precision 0.818091 [0.860656,0.688889] precision 0.83283 [0.878873,0.693069] precision 0.829444 [0.858667,0.740741] precision 0.844374 [0.87062,0.764706] precision 0.824391 [0.854111,0.734177] precision 0.842667 [0.878453,0.734043] precision 0.849298 [0.877384,0.764045] precision 0.81454 [0.867606,0.653465] precision 0.819943 [0.859079,0.701149] precision 0.810627 [0.855586,0.674157] precision 0.836987 [0.863636,0.756098] precision 0.834796 [0.86921,0.730337] precision 0.830212 [0.876404,0.69] precision 0.833239 [0.872928,0.712766] precision 0.850227 [0.885794,0.742268] precision 0.844919 [0.864721,0.78481] precision 0.819687 [0.866667,0.677083] precision 0.856835 [0.876344,0.797619] precision 0.838052 [0.883853,0.699029] precision 0.827014 [0.854497,0.74359] precision 0.836993 [0.867568,0.744186] precision 0.832401 [0.882857,0.679245] precision 0.836947 [0.865591,0.75] precision 0.814717 [0.854447,0.694118] precision 0.798175 [0.833766,0.690141] precision 0.835063 [0.871233,0.725275] precision 0.849883 [0.883657,0.747368] precision 0.827878 [0.848958,0.763889] precision 0.815016 [0.863889,0.666667] precision 0.838052 [0.883853,0.699029] precision 0.848576 [0.88764,0.73] precision 0.854259 [0.876011,0.788235] precision 0.831115 [0.872576,0.705263] precision 0.849264 [0.875339,0.770115] precision 0.814716 [0.875362,0.630631] precision 0.806788 [0.847594,0.682927] precision 0.827878 [0.848958,0.763889] precision 0.803748 [0.86533,0.616822] precision 0.810627 [0.855586,0.674157] precision 0.825623 [0.88563,0.643478] precision 0.849612 [0.881543,0.752688] precision 0.854575 [0.886427,0.757895] precision 0.849317 [0.873315,0.776471] precision 0.829545 [0.862534,0.729412] precision 0.846822 [0.872973,0.767442] precision 0.820746 [0.874644,0.657143] precision 0.840138 [0.876033,0.731183] precision 0.859202 [0.878706,0.8] precision 0.852095 [0.883978,0.755319] precision 0.838679 [0.854167,0.791667] precision 0.842364 [0.876374,0.73913] precision 0.859202 [0.878706,0.8] precision 0.846822 [0.872973,0.767442] precision 0.83226 [0.866848,0.727273] precision 0.839847 [0.873973,0.736264] predictive_accuracy 0.849015 predictive_accuracy 0.864333 predictive_accuracy 0.83151 predictive_accuracy 0.849015 predictive_accuracy 0.866521 predictive_accuracy 0.814004 predictive_accuracy 0.842451 predictive_accuracy 0.838074 predictive_accuracy 0.811816 predictive_accuracy 0.835886 predictive_accuracy 0.822757 predictive_accuracy 0.846827 predictive_accuracy 0.827133 predictive_accuracy 0.859956 predictive_accuracy 0.824945 predictive_accuracy 0.844639 predictive_accuracy 0.838074 predictive_accuracy 0.840263 predictive_accuracy 0.833698 predictive_accuracy 0.838074 predictive_accuracy 0.83114 predictive_accuracy 0.861842 predictive_accuracy 0.857456 predictive_accuracy 0.855263 predictive_accuracy 0.817982 predictive_accuracy 0.839912 predictive_accuracy 0.822368 predictive_accuracy 0.846491 predictive_accuracy 0.848684 predictive_accuracy 0.850877 predictive_accuracy 0.850877 predictive_accuracy 0.848684 predictive_accuracy 0.842105 predictive_accuracy 0.820175 predictive_accuracy 0.839912 predictive_accuracy 0.846491 predictive_accuracy 0.835526 predictive_accuracy 0.844298 predictive_accuracy 0.848684 predictive_accuracy 0.85307 predictive_accuracy 0.855263 predictive_accuracy 0.79386 predictive_accuracy 0.835526 predictive_accuracy 0.837719 predictive_accuracy 0.842105 predictive_accuracy 0.826754 predictive_accuracy 0.837719 predictive_accuracy 0.837719 predictive_accuracy 0.850877 predictive_accuracy 0.833333 predictive_accuracy 0.848684 predictive_accuracy 0.855263 predictive_accuracy 0.820175 predictive_accuracy 0.828947 predictive_accuracy 0.820175 predictive_accuracy 0.844298 predictive_accuracy 0.842105 predictive_accuracy 0.835526 predictive_accuracy 0.839912 predictive_accuracy 0.855263 predictive_accuracy 0.850877 predictive_accuracy 0.826754 predictive_accuracy 0.861842 predictive_accuracy 0.842105 predictive_accuracy 0.835526 predictive_accuracy 0.844298 predictive_accuracy 0.835526 predictive_accuracy 0.844298 predictive_accuracy 0.824561 predictive_accuracy 0.811404 predictive_accuracy 0.842105 predictive_accuracy 0.855263 predictive_accuracy 0.835526 predictive_accuracy 0.822368 predictive_accuracy 0.842105 predictive_accuracy 0.85307 predictive_accuracy 0.859649 predictive_accuracy 0.837719 predictive_accuracy 0.855263 predictive_accuracy 0.815789 predictive_accuracy 0.817982 predictive_accuracy 0.835526 predictive_accuracy 0.807018 predictive_accuracy 0.820175 predictive_accuracy 0.824561 predictive_accuracy 0.855263 predictive_accuracy 0.859649 predictive_accuracy 0.855263 predictive_accuracy 0.837719 predictive_accuracy 0.85307 predictive_accuracy 0.824561 predictive_accuracy 0.846491 predictive_accuracy 0.864035 predictive_accuracy 0.857456 predictive_accuracy 0.844298 predictive_accuracy 0.848684 predictive_accuracy 0.864035 predictive_accuracy 0.85307 predictive_accuracy 0.839912 predictive_accuracy 0.846491 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 0.849015 [0.947522,0.552632] recall 0.864333 [0.930029,0.666667] recall 0.83151 [0.918367,0.570175] recall 0.849015 [0.924198,0.622807] recall 0.866521 [0.941691,0.640351] recall 0.814004 [0.927114,0.473684] recall 0.842451 [0.930029,0.578947] recall 0.838074 [0.921283,0.587719] recall 0.811816 [0.921283,0.482456] recall 0.835886 [0.918367,0.587719] recall 0.822757 [0.883382,0.640351] recall 0.846827 [0.938776,0.570175] recall 0.827133 [0.947522,0.464912] recall 0.859956 [0.947522,0.596491] recall 0.824945 [0.938776,0.482456] recall 0.844639 [0.941691,0.552632] recall 0.838074 [0.944606,0.517544] recall 0.840263 [0.912536,0.622807] recall 0.833698 [0.941691,0.508772] recall 0.838074 [0.950437,0.5] recall 0.83114 [0.938776,0.504425] recall 0.861842 [0.930029,0.654867] recall 0.857456 [0.930029,0.637168] recall 0.855263 [0.947522,0.575221] recall 0.817982 [0.915452,0.522124] recall 0.839912 [0.924198,0.584071] recall 0.822368 [0.921283,0.522124] recall 0.846491 [0.93586,0.575221] recall 0.848684 [0.930029,0.60177] recall 0.850877 [0.941691,0.575221] recall 0.850877 [0.918367,0.646018] recall 0.848684 [0.944606,0.557522] recall 0.842105 [0.912536,0.628319] recall 0.820175 [0.924198,0.504425] recall 0.839912 [0.915452,0.610619] recall 0.846491 [0.921283,0.619469] recall 0.835526 [0.924198,0.566372] recall 0.844298 [0.932945,0.575221] recall 0.848684 [0.932945,0.59292] recall 0.85307 [0.924198,0.637168] recall 0.855263 [0.927114,0.637168] recall 0.79386 [0.886297,0.513274] recall 0.835526 [0.930029,0.548673] recall 0.837719 [0.921283,0.584071] recall 0.842105 [0.918367,0.610619] recall 0.826754 [0.918367,0.548673] recall 0.837719 [0.909621,0.619469] recall 0.837719 [0.938776,0.530973] recall 0.850877 [0.941691,0.575221] recall 0.833333 [0.938776,0.513274] recall 0.848684 [0.927114,0.610619] recall 0.855263 [0.938776,0.60177] recall 0.820175 [0.897959,0.584071] recall 0.828947 [0.924198,0.539823] recall 0.820175 [0.915452,0.530973] recall 0.844298 [0.941691,0.548673] recall 0.842105 [0.930029,0.575221] recall 0.835526 [0.909621,0.610619] recall 0.839912 [0.921283,0.59292] recall 0.855263 [0.927114,0.637168] recall 0.850877 [0.950437,0.548673] recall 0.826754 [0.909621,0.575221] recall 0.861842 [0.950437,0.59292] recall 0.842105 [0.909621,0.637168] recall 0.835526 [0.941691,0.513274] recall 0.844298 [0.93586,0.566372] recall 0.835526 [0.900875,0.637168] recall 0.844298 [0.938776,0.557522] recall 0.824561 [0.924198,0.522124] recall 0.811404 [0.93586,0.433628] recall 0.842105 [0.927114,0.584071] recall 0.855263 [0.930029,0.628319] recall 0.835526 [0.950437,0.486726] recall 0.822368 [0.906706,0.566372] recall 0.842105 [0.909621,0.637168] recall 0.85307 [0.921283,0.646018] recall 0.859649 [0.947522,0.59292] recall 0.837719 [0.918367,0.59292] recall 0.855263 [0.941691,0.59292] recall 0.815789 [0.880466,0.619469] recall 0.817982 [0.924198,0.495575] recall 0.835526 [0.950437,0.486726] recall 0.807018 [0.880466,0.584071] recall 0.820175 [0.915452,0.530973] recall 0.824561 [0.880466,0.654867] recall 0.855263 [0.932945,0.619469] recall 0.859649 [0.932945,0.637168] recall 0.855263 [0.944606,0.584071] recall 0.837719 [0.932945,0.548673] recall 0.85307 [0.941691,0.584071] recall 0.824561 [0.895044,0.610619] recall 0.846491 [0.927114,0.60177] recall 0.864035 [0.950437,0.60177] recall 0.857456 [0.932945,0.628319] recall 0.844298 [0.956268,0.504425] recall 0.848684 [0.930029,0.60177] recall 0.864035 [0.950437,0.60177] recall 0.85307 [0.941691,0.584071] recall 0.839912 [0.930029,0.566372] recall 0.846491 [0.930029,0.59292] relative_absolute_error 0.599878 relative_absolute_error 0.592832 relative_absolute_error 0.627851 relative_absolute_error 0.592313 relative_absolute_error 0.573766 relative_absolute_error 0.627256 relative_absolute_error 0.622311 relative_absolute_error 0.637073 relative_absolute_error 0.619254 relative_absolute_error 0.621297 relative_absolute_error 0.593811 relative_absolute_error 0.606036 relative_absolute_error 0.612513 relative_absolute_error 0.57714 relative_absolute_error 0.59461 relative_absolute_error 0.597619 relative_absolute_error 0.598955 relative_absolute_error 0.584287 relative_absolute_error 0.60158 relative_absolute_error 0.597207 relative_absolute_error 0.619412 relative_absolute_error 0.577001 relative_absolute_error 0.592988 relative_absolute_error 0.584593 relative_absolute_error 0.612833 relative_absolute_error 0.629785 relative_absolute_error 0.609625 relative_absolute_error 0.593389 relative_absolute_error 0.592104 relative_absolute_error 0.573924 relative_absolute_error 0.581204 relative_absolute_error 0.56485 relative_absolute_error 0.602817 relative_absolute_error 0.62682 relative_absolute_error 0.607706 relative_absolute_error 0.599555 relative_absolute_error 0.635757 relative_absolute_error 0.626484 relative_absolute_error 0.598287 relative_absolute_error 0.587793 relative_absolute_error 0.592191 relative_absolute_error 0.661886 relative_absolute_error 0.592639 relative_absolute_error 0.559019 relative_absolute_error 0.602341 relative_absolute_error 0.624394 relative_absolute_error 0.571784 relative_absolute_error 0.593831 relative_absolute_error 0.595614 relative_absolute_error 0.616926 relative_absolute_error 0.580828 relative_absolute_error 0.584805 relative_absolute_error 0.61852 relative_absolute_error 0.612374 relative_absolute_error 0.642286 relative_absolute_error 0.596701 relative_absolute_error 0.598376 relative_absolute_error 0.587908 relative_absolute_error 0.585931 relative_absolute_error 0.58719 relative_absolute_error 0.601222 relative_absolute_error 0.640562 relative_absolute_error 0.594062 relative_absolute_error 0.607873 relative_absolute_error 0.600434 relative_absolute_error 0.608009 relative_absolute_error 0.612941 relative_absolute_error 0.600989 relative_absolute_error 0.630649 relative_absolute_error 0.636855 relative_absolute_error 0.606125 relative_absolute_error 0.594447 relative_absolute_error 0.578728 relative_absolute_error 0.638466 relative_absolute_error 0.574291 relative_absolute_error 0.589506 relative_absolute_error 0.592307 relative_absolute_error 0.610439 relative_absolute_error 0.602564 relative_absolute_error 0.643712 relative_absolute_error 0.622088 relative_absolute_error 0.601816 relative_absolute_error 0.627762 relative_absolute_error 0.641831 relative_absolute_error 0.658705 relative_absolute_error 0.577455 relative_absolute_error 0.574899 relative_absolute_error 0.595298 relative_absolute_error 0.602641 relative_absolute_error 0.580522 relative_absolute_error 0.654724 relative_absolute_error 0.601066 relative_absolute_error 0.578804 relative_absolute_error 0.567498 relative_absolute_error 0.575178 relative_absolute_error 0.595789 relative_absolute_error 0.565106 relative_absolute_error 0.60386 relative_absolute_error 0.621485 relative_absolute_error 0.59725 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 0.338398 root_mean_squared_error 0.328552 root_mean_squared_error 0.341808 root_mean_squared_error 0.3207 root_mean_squared_error 0.323486 root_mean_squared_error 0.359289 root_mean_squared_error 0.344529 root_mean_squared_error 0.343873 root_mean_squared_error 0.345789 root_mean_squared_error 0.338009 root_mean_squared_error 0.332181 root_mean_squared_error 0.335347 root_mean_squared_error 0.335296 root_mean_squared_error 0.327475 root_mean_squared_error 0.340611 root_mean_squared_error 0.333176 root_mean_squared_error 0.336509 root_mean_squared_error 0.33204 root_mean_squared_error 0.345032 root_mean_squared_error 0.337435 root_mean_squared_error 0.346127 root_mean_squared_error 0.320163 root_mean_squared_error 0.321118 root_mean_squared_error 0.329556 root_mean_squared_error 0.337748 root_mean_squared_error 0.338926 root_mean_squared_error 0.341412 root_mean_squared_error 0.332579 root_mean_squared_error 0.329495 root_mean_squared_error 0.328592 root_mean_squared_error 0.323281 root_mean_squared_error 0.324032 root_mean_squared_error 0.333586 root_mean_squared_error 0.347848 root_mean_squared_error 0.337085 root_mean_squared_error 0.324185 root_mean_squared_error 0.343607 root_mean_squared_error 0.336775 root_mean_squared_error 0.326669 root_mean_squared_error 0.329758 root_mean_squared_error 0.327969 root_mean_squared_error 0.363816 root_mean_squared_error 0.332799 root_mean_squared_error 0.327716 root_mean_squared_error 0.332345 root_mean_squared_error 0.339197 root_mean_squared_error 0.327799 root_mean_squared_error 0.338631 root_mean_squared_error 0.333834 root_mean_squared_error 0.339028 root_mean_squared_error 0.3209 root_mean_squared_error 0.322464 root_mean_squared_error 0.34789 root_mean_squared_error 0.3405 root_mean_squared_error 0.35204 root_mean_squared_error 0.333821 root_mean_squared_error 0.333735 root_mean_squared_error 0.333954 root_mean_squared_error 0.326248 root_mean_squared_error 0.330871 root_mean_squared_error 0.329549 root_mean_squared_error 0.343103 root_mean_squared_error 0.326575 root_mean_squared_error 0.330686 root_mean_squared_error 0.339748 root_mean_squared_error 0.332302 root_mean_squared_error 0.34193 root_mean_squared_error 0.325317 root_mean_squared_error 0.345197 root_mean_squared_error 0.355108 root_mean_squared_error 0.334514 root_mean_squared_error 0.327127 root_mean_squared_error 0.33701 root_mean_squared_error 0.353728 root_mean_squared_error 0.324849 root_mean_squared_error 0.330332 root_mean_squared_error 0.327357 root_mean_squared_error 0.332947 root_mean_squared_error 0.330316 root_mean_squared_error 0.3479 root_mean_squared_error 0.347197 root_mean_squared_error 0.340508 root_mean_squared_error 0.350322 root_mean_squared_error 0.347977 root_mean_squared_error 0.346975 root_mean_squared_error 0.322915 root_mean_squared_error 0.313692 root_mean_squared_error 0.331303 root_mean_squared_error 0.335276 root_mean_squared_error 0.318314 root_mean_squared_error 0.34298 root_mean_squared_error 0.334136 root_mean_squared_error 0.317987 root_mean_squared_error 0.310937 root_mean_squared_error 0.32124 root_mean_squared_error 0.329356 root_mean_squared_error 0.321251 root_mean_squared_error 0.337109 root_mean_squared_error 0.335776 root_mean_squared_error 0.334973 root_relative_squared_error 0.782065 root_relative_squared_error 0.75931 root_relative_squared_error 0.789945 root_relative_squared_error 0.741163 root_relative_squared_error 0.747602 root_relative_squared_error 0.830347 root_relative_squared_error 0.796233 root_relative_squared_error 0.794717 root_relative_squared_error 0.799147 root_relative_squared_error 0.781166 root_relative_squared_error 0.767698 root_relative_squared_error 0.775014 root_relative_squared_error 0.774896 root_relative_squared_error 0.756821 root_relative_squared_error 0.78718 root_relative_squared_error 0.769997 root_relative_squared_error 0.777699 root_relative_squared_error 0.767372 root_relative_squared_error 0.797396 root_relative_squared_error 0.779839 root_relative_squared_error 0.801704 root_relative_squared_error 0.741565 root_relative_squared_error 0.743778 root_relative_squared_error 0.763322 root_relative_squared_error 0.782295 root_relative_squared_error 0.785025 root_relative_squared_error 0.790782 root_relative_squared_error 0.770324 root_relative_squared_error 0.763179 root_relative_squared_error 0.761088 root_relative_squared_error 0.748786 root_relative_squared_error 0.750526 root_relative_squared_error 0.772655 root_relative_squared_error 0.805691 root_relative_squared_error 0.78076 root_relative_squared_error 0.750882 root_relative_squared_error 0.795866 root_relative_squared_error 0.780041 root_relative_squared_error 0.756634 root_relative_squared_error 0.763789 root_relative_squared_error 0.759647 root_relative_squared_error 0.842674 root_relative_squared_error 0.770833 root_relative_squared_error 0.759059 root_relative_squared_error 0.769782 root_relative_squared_error 0.785652 root_relative_squared_error 0.759252 root_relative_squared_error 0.78434 root_relative_squared_error 0.773231 root_relative_squared_error 0.78526 root_relative_squared_error 0.743273 root_relative_squared_error 0.746894 root_relative_squared_error 0.805786 root_relative_squared_error 0.788671 root_relative_squared_error 0.815399 root_relative_squared_error 0.773201 root_relative_squared_error 0.773001 root_relative_squared_error 0.773509 root_relative_squared_error 0.755659 root_relative_squared_error 0.766368 root_relative_squared_error 0.763306 root_relative_squared_error 0.794699 root_relative_squared_error 0.756418 root_relative_squared_error 0.765939 root_relative_squared_error 0.786928 root_relative_squared_error 0.769682 root_relative_squared_error 0.791983 root_relative_squared_error 0.753504 root_relative_squared_error 0.79955 root_relative_squared_error 0.822505 root_relative_squared_error 0.774805 root_relative_squared_error 0.757696 root_relative_squared_error 0.780586 root_relative_squared_error 0.819309 root_relative_squared_error 0.75242 root_relative_squared_error 0.76512 root_relative_squared_error 0.758227 root_relative_squared_error 0.771176 root_relative_squared_error 0.765081 root_relative_squared_error 0.80581 root_relative_squared_error 0.804182 root_relative_squared_error 0.78869 root_relative_squared_error 0.81142 root_relative_squared_error 0.805988 root_relative_squared_error 0.803667 root_relative_squared_error 0.747939 root_relative_squared_error 0.726577 root_relative_squared_error 0.767367 root_relative_squared_error 0.77657 root_relative_squared_error 0.737283 root_relative_squared_error 0.794415 root_relative_squared_error 0.773931 root_relative_squared_error 0.736525 root_relative_squared_error 0.720196 root_relative_squared_error 0.744061 root_relative_squared_error 0.762858 root_relative_squared_error 0.744086 root_relative_squared_error 0.780815 root_relative_squared_error 0.777729 root_relative_squared_error 0.77587 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2560 usercpu_time_millis 2510 usercpu_time_millis 2510 usercpu_time_millis 2480 usercpu_time_millis 2460 usercpu_time_millis 2570 usercpu_time_millis 2620 usercpu_time_millis 2610 usercpu_time_millis 2710 usercpu_time_millis 2580 usercpu_time_millis 2430 usercpu_time_millis 2460 usercpu_time_millis 2540 usercpu_time_millis 2420 usercpu_time_millis 2490 usercpu_time_millis 2690 usercpu_time_millis 2670 usercpu_time_millis 2670 usercpu_time_millis 2730 usercpu_time_millis 2560 usercpu_time_millis 2530 usercpu_time_millis 2400 usercpu_time_millis 2510 usercpu_time_millis 2430 usercpu_time_millis 2680 usercpu_time_millis 2600 usercpu_time_millis 2570 usercpu_time_millis 2670 usercpu_time_millis 2600 usercpu_time_millis 2600 usercpu_time_millis 2520 usercpu_time_millis 2500 usercpu_time_millis 2480 usercpu_time_millis 2500 usercpu_time_millis 2560 usercpu_time_millis 2690 usercpu_time_millis 2730 usercpu_time_millis 2630 usercpu_time_millis 2600 usercpu_time_millis 2630 usercpu_time_millis 2520 usercpu_time_millis 2500 usercpu_time_millis 2510 usercpu_time_millis 2500 usercpu_time_millis 2590 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