414211 2 Joaquin Vanschoren 4601 Supervised Classification predictive_accuracy 1188 weka.END_ND_J48(3) 2039 weka.classifiers.meta.END -- -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ND -- -S 1 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 S 1 1188 I 10 1188 W weka.classifiers.meta.nestedDichotomies.ND 1188 S 1 1189 W weka.classifiers.trees.J48 1189 weka weka_3.7.12 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1444296 description https://api.openml.org/data/download/1444296/weka_generated_run4112287089975434792.xml -1 1444299 model_readable https://api.openml.org/data/download/1444299/WekaModel_weka.classifiers.meta.END3367125605864508354.model -1 1444298 model_serialized https://api.openml.org/data/download/1444298/WekaSerialized_weka.classifiers.meta.END5160759363682138276.model -1 1444297 predictions https://api.openml.org/data/download/1444297/weka_generated_predictions1853901829153329820.arff area_under_roc_curve 0.829936 [0.829936,0.829936] average_cost 0 f_measure 0.827136 [0.892092,0.630318] kappa 0.523751 kb_relative_information_score 18887.645069 mean_absolute_error 0.210936 mean_prior_absolute_error 0.373185 number_of_instances 45620 [34300,11320] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.825478 [0.867226,0.698978] predictive_accuracy 0.832946 prior_entropy 0.808488 recall 0.832946 [0.918426,0.57394] relative_absolute_error 0.565231 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.36203 root_relative_squared_error 0.838165 scimark_benchmark 922.823156 [534.715120358964, 988.6890749395138, 473.43116282050204, 886.8200001693772, 1730.4604232226736] total_cost 0 usercpu_time_millis 600 usercpu_time_millis_testing 50 usercpu_time_millis_training 550 area_under_roc_curve 0.821774 [0.821774,0.821774] area_under_roc_curve 0.839394 [0.839394,0.839394] area_under_roc_curve 0.858613 [0.858613,0.858613] area_under_roc_curve 0.831287 [0.831287,0.831287] area_under_roc_curve 0.808974 [0.808974,0.808974] area_under_roc_curve 0.778375 [0.778375,0.778375] area_under_roc_curve 0.813168 [0.813168,0.813168] area_under_roc_curve 0.805867 [0.805867,0.805867] area_under_roc_curve 0.831786 [0.831786,0.831786] area_under_roc_curve 0.840238 [0.840238,0.840238] area_under_roc_curve 0.858447 [0.858447,0.858447] area_under_roc_curve 0.764168 [0.764168,0.764168] area_under_roc_curve 0.809447 [0.809447,0.809447] area_under_roc_curve 0.795279 [0.795279,0.795279] area_under_roc_curve 0.782876 [0.782876,0.782876] area_under_roc_curve 0.797478 [0.797478,0.797478] area_under_roc_curve 0.828474 [0.828474,0.828474] area_under_roc_curve 0.848307 [0.848307,0.848307] area_under_roc_curve 0.844496 [0.844496,0.844496] area_under_roc_curve 0.75945 [0.75945,0.75945] area_under_roc_curve 0.798756 [0.798756,0.798756] area_under_roc_curve 0.823473 [0.823473,0.823473] area_under_roc_curve 0.838941 [0.838941,0.838941] area_under_roc_curve 0.805748 [0.805748,0.805748] area_under_roc_curve 0.814559 [0.814559,0.814559] area_under_roc_curve 0.844462 [0.844462,0.844462] area_under_roc_curve 0.820506 [0.820506,0.820506] area_under_roc_curve 0.778103 [0.778103,0.778103] area_under_roc_curve 0.817836 [0.817836,0.817836] area_under_roc_curve 0.855685 [0.855685,0.855685] area_under_roc_curve 0.862858 [0.862858,0.862858] area_under_roc_curve 0.844514 [0.844514,0.844514] area_under_roc_curve 0.827705 [0.827705,0.827705] area_under_roc_curve 0.83845 [0.83845,0.83845] area_under_roc_curve 0.821267 [0.821267,0.821267] area_under_roc_curve 0.859323 [0.859323,0.859323] area_under_roc_curve 0.822093 [0.822093,0.822093] area_under_roc_curve 0.785792 [0.785792,0.785792] area_under_roc_curve 0.859658 [0.859658,0.859658] area_under_roc_curve 0.843933 [0.843933,0.843933] area_under_roc_curve 0.827008 [0.827008,0.827008] area_under_roc_curve 0.815282 [0.815282,0.815282] area_under_roc_curve 0.857091 [0.857091,0.857091] area_under_roc_curve 0.84432 [0.84432,0.84432] area_under_roc_curve 0.86625 [0.86625,0.86625] area_under_roc_curve 0.871694 [0.871694,0.871694] area_under_roc_curve 0.843172 [0.843172,0.843172] area_under_roc_curve 0.848771 [0.848771,0.848771] area_under_roc_curve 0.787095 [0.787095,0.787095] area_under_roc_curve 0.810818 [0.810818,0.810818] area_under_roc_curve 0.848719 [0.848719,0.848719] area_under_roc_curve 0.859349 [0.859349,0.859349] area_under_roc_curve 0.821254 [0.821254,0.821254] area_under_roc_curve 0.816623 [0.816623,0.816623] area_under_roc_curve 0.785843 [0.785843,0.785843] area_under_roc_curve 0.800343 [0.800343,0.800343] area_under_roc_curve 0.850138 [0.850138,0.850138] area_under_roc_curve 0.834477 [0.834477,0.834477] area_under_roc_curve 0.811824 [0.811824,0.811824] area_under_roc_curve 0.798705 [0.798705,0.798705] area_under_roc_curve 0.843391 [0.843391,0.843391] area_under_roc_curve 0.86923 [0.86923,0.86923] area_under_roc_curve 0.848564 [0.848564,0.848564] area_under_roc_curve 0.825318 [0.825318,0.825318] area_under_roc_curve 0.822493 [0.822493,0.822493] area_under_roc_curve 0.825537 [0.825537,0.825537] area_under_roc_curve 0.869643 [0.869643,0.869643] area_under_roc_curve 0.857272 [0.857272,0.857272] area_under_roc_curve 0.802962 [0.802962,0.802962] area_under_roc_curve 0.800975 [0.800975,0.800975] area_under_roc_curve 0.798253 [0.798253,0.798253] area_under_roc_curve 0.830504 [0.830504,0.830504] area_under_roc_curve 0.842475 [0.842475,0.842475] area_under_roc_curve 0.809902 [0.809902,0.809902] area_under_roc_curve 0.877603 [0.877603,0.877603] area_under_roc_curve 0.805658 [0.805658,0.805658] area_under_roc_curve 0.834735 [0.834735,0.834735] area_under_roc_curve 0.866999 [0.866999,0.866999] area_under_roc_curve 0.831781 [0.831781,0.831781] area_under_roc_curve 0.776916 [0.776916,0.776916] area_under_roc_curve 0.802472 [0.802472,0.802472] area_under_roc_curve 0.842785 [0.842785,0.842785] area_under_roc_curve 0.831549 [0.831549,0.831549] area_under_roc_curve 0.81016 [0.81016,0.81016] area_under_roc_curve 0.818068 [0.818068,0.818068] area_under_roc_curve 0.861993 [0.861993,0.861993] area_under_roc_curve 0.845184 [0.845184,0.845184] area_under_roc_curve 0.82119 [0.82119,0.82119] area_under_roc_curve 0.814146 [0.814146,0.814146] area_under_roc_curve 0.849042 [0.849042,0.849042] area_under_roc_curve 0.832271 [0.832271,0.832271] area_under_roc_curve 0.820519 [0.820519,0.820519] area_under_roc_curve 0.827111 [0.827111,0.827111] area_under_roc_curve 0.871475 [0.871475,0.871475] area_under_roc_curve 0.852112 [0.852112,0.852112] area_under_roc_curve 0.853363 [0.853363,0.853363] area_under_roc_curve 0.825086 [0.825086,0.825086] area_under_roc_curve 0.847364 [0.847364,0.847364] area_under_roc_curve 0.879886 [0.879886,0.879886] area_under_roc_curve 0.792126 [0.792126,0.792126] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.824189 [0.889205,0.628571] f_measure 0.842221 [0.900568,0.666667] f_measure 0.820263 [0.883453,0.630137] f_measure 0.838873 [0.897143,0.663551] f_measure 0.826032 [0.893258,0.623762] f_measure 0.817269 [0.889819,0.598985] f_measure 0.807542 [0.877143,0.598131] f_measure 0.82286 [0.889831,0.621359] f_measure 0.82226 [0.887624,0.625592] f_measure 0.846942 [0.905767,0.669951] f_measure 0.853305 [0.905172,0.697248] f_measure 0.805821 [0.88045,0.581281] f_measure 0.8404 [0.903766,0.649746] f_measure 0.816422 [0.880231,0.624434] f_measure 0.808487 [0.88169,0.588235] f_measure 0.824189 [0.889205,0.628571] f_measure 0.83061 [0.896067,0.633663] f_measure 0.826931 [0.897507,0.614583] f_measure 0.828058 [0.892351,0.634615] f_measure 0.814058 [0.893151,0.576087] f_measure 0.814229 [0.890733,0.582011] f_measure 0.83789 [0.897436,0.657143] f_measure 0.832617 [0.892396,0.651163] f_measure 0.813273 [0.884181,0.598039] f_measure 0.821677 [0.890141,0.613861] f_measure 0.835935 [0.895863,0.654028] f_measure 0.805281 [0.88045,0.577114] f_measure 0.812082 [0.88227,0.599034] f_measure 0.826315 [0.890469,0.631579] f_measure 0.848871 [0.904694,0.679426] f_measure 0.836516 [0.895565,0.657277] f_measure 0.835394 [0.898592,0.643564] f_measure 0.821761 [0.885057,0.62963] f_measure 0.808393 [0.876437,0.601852] f_measure 0.817292 [0.88478,0.61244] f_measure 0.848307 [0.904965,0.676329] f_measure 0.83344 [0.897038,0.640394] f_measure 0.799531 [0.867925,0.591928] f_measure 0.837353 [0.900141,0.646766] f_measure 0.842596 [0.897547,0.675799] f_measure 0.829545 [0.893918,0.634146] f_measure 0.810299 [0.878049,0.604651] f_measure 0.826217 [0.887931,0.638889] f_measure 0.842566 [0.90268,0.660099] f_measure 0.843881 [0.906815,0.65285] f_measure 0.825666 [0.89078,0.628019] f_measure 0.842393 [0.900285,0.666667] f_measure 0.826249 [0.892958,0.623762] f_measure 0.809081 [0.88359,0.582915] f_measure 0.830291 [0.900552,0.617021] f_measure 0.828189 [0.894515,0.626866] f_measure 0.871428 [0.918919,0.727273] f_measure 0.821677 [0.890141,0.613861] f_measure 0.808499 [0.886111,0.572917] f_measure 0.807737 [0.876791,0.598131] f_measure 0.827524 [0.89931,0.609626] f_measure 0.835935 [0.895863,0.654028] f_measure 0.844559 [0.899135,0.678899] f_measure 0.801372 [0.87231,0.586047] f_measure 0.839585 [0.896552,0.666667] f_measure 0.835394 [0.898592,0.643564] f_measure 0.815386 [0.880576,0.617512] f_measure 0.845153 [0.903955,0.666667] f_measure 0.815789 [0.877551,0.628319] f_measure 0.820523 [0.885714,0.622642] f_measure 0.829545 [0.893918,0.634146] f_measure 0.830673 [0.890805,0.648148] f_measure 0.833984 [0.894286,0.650943] f_measure 0.817841 [0.891667,0.59375] f_measure 0.805281 [0.88045,0.577114] f_measure 0.823608 [0.891702,0.616915] f_measure 0.827356 [0.887283,0.645455] f_measure 0.831083 [0.900277,0.621053] f_measure 0.807179 [0.882022,0.58] f_measure 0.830826 [0.893314,0.641148] f_measure 0.821138 [0.887943,0.618357] f_measure 0.839848 [0.899004,0.660287] f_measure 0.816729 [0.889819,0.594872] f_measure 0.819877 [0.88604,0.619048] f_measure 0.790064 [0.862518,0.570136] f_measure 0.797758 [0.887381,0.525714] f_measure 0.823733 [0.889205,0.625] f_measure 0.822882 [0.892006,0.613065] f_measure 0.810987 [0.885154,0.585859] f_measure 0.836516 [0.895565,0.657277] f_measure 0.827483 [0.894811,0.623116] f_measure 0.83144 [0.89301,0.64455] f_measure 0.837959 [0.902235,0.642857] f_measure 0.840599 [0.90113,0.656863] f_measure 0.856256 [0.911142,0.689655] f_measure 0.814762 [0.880918,0.613953] f_measure 0.817292 [0.88478,0.61244] f_measure 0.812532 [0.884507,0.594059] f_measure 0.849707 [0.90678,0.676471] f_measure 0.83149 [0.89548,0.637255] f_measure 0.850877 [0.900875,0.699115] f_measure 0.835006 [0.903315,0.62766] f_measure 0.862828 [0.915493,0.70297] f_measure 0.828252 [0.892045,0.634615] f_measure 0.832772 [0.894886,0.644231] kappa 0.51883 kappa 0.568181 kappa 0.513849 kappa 0.561268 kappa 0.51928 kappa 0.492258 kappa 0.475959 kappa 0.512806 kappa 0.514163 kappa 0.577547 kappa 0.602682 kappa 0.464052 kappa 0.556529 kappa 0.504824 kappa 0.472025 kappa 0.51883 kappa 0.531931 kappa 0.516609 kappa 0.528252 kappa 0.476779 kappa 0.477974 kappa 0.555351 kappa 0.543927 kappa 0.483949 kappa 0.505986 kappa 0.550575 kappa 0.459926 kappa 0.482583 kappa 0.522987 kappa 0.584936 kappa 0.553349 kappa 0.543987 kappa 0.51501 kappa 0.478635 kappa 0.498207 kappa 0.582326 kappa 0.539126 kappa 0.459884 kappa 0.54888 kappa 0.573484 kappa 0.529496 kappa 0.483117 kappa 0.527134 kappa 0.564379 kappa 0.563093 kappa 0.519987 kappa 0.567702 kappa 0.518653 kappa 0.469232 kappa 0.522638 kappa 0.523464 kappa 0.646886 kappa 0.505986 kappa 0.463514 kappa 0.475427 kappa 0.514384 kappa 0.550575 kappa 0.578213 kappa 0.458793 kappa 0.563509 kappa 0.543987 kappa 0.498356 kappa 0.572056 kappa 0.50587 kappa 0.509004 kappa 0.529496 kappa 0.539259 kappa 0.545829 kappa 0.489684 kappa 0.459926 kappa 0.510757 kappa 0.532848 kappa 0.52581 kappa 0.464564 kappa 0.535377 kappa 0.507519 kappa 0.560157 kappa 0.488208 kappa 0.505945 kappa 0.432747 kappa 0.424698 kappa 0.515277 kappa 0.507601 kappa 0.47393 kappa 0.553349 kappa 0.52039 kappa 0.538262 kappa 0.547991 kappa 0.559469 kappa 0.60226 kappa 0.495279 kappa 0.498207 kappa 0.480652 kappa 0.584642 kappa 0.534296 kappa 0.59999 kappa 0.535898 kappa 0.619989 kappa 0.527706 kappa 0.540135 kb_relative_information_score 190.409985 kb_relative_information_score 209.363409 kb_relative_information_score 182.121466 kb_relative_information_score 203.208852 kb_relative_information_score 192.457244 kb_relative_information_score 183.77073 kb_relative_information_score 169.813772 kb_relative_information_score 183.115708 kb_relative_information_score 179.979038 kb_relative_information_score 202.608783 kb_relative_information_score 214.113459 kb_relative_information_score 174.12645 kb_relative_information_score 190.816759 kb_relative_information_score 181.327144 kb_relative_information_score 172.201421 kb_relative_information_score 184.846883 kb_relative_information_score 189.328683 kb_relative_information_score 188.978989 kb_relative_information_score 192.04474 kb_relative_information_score 178.155683 kb_relative_information_score 174.620544 kb_relative_information_score 202.441424 kb_relative_information_score 186.817236 kb_relative_information_score 184.035097 kb_relative_information_score 190.239589 kb_relative_information_score 190.133918 kb_relative_information_score 165.320293 kb_relative_information_score 175.189363 kb_relative_information_score 190.364263 kb_relative_information_score 211.6956 kb_relative_information_score 199.984023 kb_relative_information_score 196.565792 kb_relative_information_score 192.226928 kb_relative_information_score 168.337759 kb_relative_information_score 174.851026 kb_relative_information_score 206.948225 kb_relative_information_score 183.144238 kb_relative_information_score 148.145265 kb_relative_information_score 199.655229 kb_relative_information_score 204.335593 kb_relative_information_score 184.06579 kb_relative_information_score 168.482595 kb_relative_information_score 189.274122 kb_relative_information_score 214.943124 kb_relative_information_score 207.873531 kb_relative_information_score 197.586121 kb_relative_information_score 195.710453 kb_relative_information_score 202.516828 kb_relative_information_score 174.425465 kb_relative_information_score 199.05164 kb_relative_information_score 195.156759 kb_relative_information_score 223.848004 kb_relative_information_score 183.304348 kb_relative_information_score 180.99576 kb_relative_information_score 161.580639 kb_relative_information_score 179.910735 kb_relative_information_score 200.350801 kb_relative_information_score 202.366669 kb_relative_information_score 167.40619 kb_relative_information_score 197.700478 kb_relative_information_score 194.203088 kb_relative_information_score 174.185778 kb_relative_information_score 210.084945 kb_relative_information_score 166.450207 kb_relative_information_score 184.050801 kb_relative_information_score 192.446069 kb_relative_information_score 193.462792 kb_relative_information_score 196.997496 kb_relative_information_score 174.596072 kb_relative_information_score 165.079107 kb_relative_information_score 183.262033 kb_relative_information_score 192.511661 kb_relative_information_score 197.481304 kb_relative_information_score 164.703054 kb_relative_information_score 195.21953 kb_relative_information_score 184.10268 kb_relative_information_score 193.933067 kb_relative_information_score 181.434383 kb_relative_information_score 193.692853 kb_relative_information_score 146.002939 kb_relative_information_score 165.351829 kb_relative_information_score 193.235273 kb_relative_information_score 188.062235 kb_relative_information_score 171.045436 kb_relative_information_score 189.010299 kb_relative_information_score 199.571341 kb_relative_information_score 188.690194 kb_relative_information_score 198.830086 kb_relative_information_score 187.968569 kb_relative_information_score 220.643745 kb_relative_information_score 169.930296 kb_relative_information_score 178.92064 kb_relative_information_score 171.547192 kb_relative_information_score 221.263987 kb_relative_information_score 199.831204 kb_relative_information_score 224.98966 kb_relative_information_score 198.133247 kb_relative_information_score 220.284399 kb_relative_information_score 195.108233 kb_relative_information_score 186.936686 mean_absolute_error 0.207695 mean_absolute_error 0.197512 mean_absolute_error 0.215646 mean_absolute_error 0.201179 mean_absolute_error 0.210005 mean_absolute_error 0.217018 mean_absolute_error 0.221606 mean_absolute_error 0.216743 mean_absolute_error 0.218386 mean_absolute_error 0.205475 mean_absolute_error 0.195724 mean_absolute_error 0.219475 mean_absolute_error 0.216471 mean_absolute_error 0.215036 mean_absolute_error 0.223838 mean_absolute_error 0.215533 mean_absolute_error 0.214616 mean_absolute_error 0.21449 mean_absolute_error 0.208488 mean_absolute_error 0.220847 mean_absolute_error 0.22244 mean_absolute_error 0.20108 mean_absolute_error 0.211628 mean_absolute_error 0.211069 mean_absolute_error 0.210174 mean_absolute_error 0.212358 mean_absolute_error 0.227301 mean_absolute_error 0.219678 mean_absolute_error 0.209958 mean_absolute_error 0.19617 mean_absolute_error 0.201473 mean_absolute_error 0.204283 mean_absolute_error 0.203737 mean_absolute_error 0.222024 mean_absolute_error 0.21999 mean_absolute_error 0.196165 mean_absolute_error 0.217471 mean_absolute_error 0.237008 mean_absolute_error 0.20376 mean_absolute_error 0.199553 mean_absolute_error 0.21978 mean_absolute_error 0.224963 mean_absolute_error 0.2077 mean_absolute_error 0.189621 mean_absolute_error 0.200463 mean_absolute_error 0.200981 mean_absolute_error 0.205244 mean_absolute_error 0.197233 mean_absolute_error 0.221097 mean_absolute_error 0.205101 mean_absolute_error 0.206074 mean_absolute_error 0.192084 mean_absolute_error 0.213238 mean_absolute_error 0.212669 mean_absolute_error 0.229184 mean_absolute_error 0.223048 mean_absolute_error 0.201444 mean_absolute_error 0.202636 mean_absolute_error 0.222087 mean_absolute_error 0.203095 mean_absolute_error 0.207615 mean_absolute_error 0.220575 mean_absolute_error 0.196458 mean_absolute_error 0.226769 mean_absolute_error 0.212893 mean_absolute_error 0.210326 mean_absolute_error 0.206579 mean_absolute_error 0.204444 mean_absolute_error 0.223277 mean_absolute_error 0.225072 mean_absolute_error 0.218198 mean_absolute_error 0.202467 mean_absolute_error 0.20606 mean_absolute_error 0.228798 mean_absolute_error 0.206846 mean_absolute_error 0.211871 mean_absolute_error 0.208615 mean_absolute_error 0.215044 mean_absolute_error 0.203798 mean_absolute_error 0.238036 mean_absolute_error 0.22942 mean_absolute_error 0.20499 mean_absolute_error 0.211185 mean_absolute_error 0.222969 mean_absolute_error 0.213073 mean_absolute_error 0.202627 mean_absolute_error 0.212033 mean_absolute_error 0.206739 mean_absolute_error 0.216793 mean_absolute_error 0.191516 mean_absolute_error 0.224456 mean_absolute_error 0.217345 mean_absolute_error 0.222231 mean_absolute_error 0.187921 mean_absolute_error 0.200835 mean_absolute_error 0.179825 mean_absolute_error 0.206662 mean_absolute_error 0.189491 mean_absolute_error 0.205007 mean_absolute_error 0.21383 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 0.82225 [0.867036,0.6875] precision 0.84096 [0.878116,0.729167] precision 0.818523 [0.872159,0.657143] precision 0.837257 [0.879552,0.71] precision 0.825399 [0.861789,0.715909] precision 0.817494 [0.852941,0.710843] precision 0.805078 [0.859944,0.64] precision 0.821265 [0.863014,0.695652] precision 0.820205 [0.866667,0.680412] precision 0.847322 [0.875,0.764045] precision 0.852044 [0.892351,0.730769] precision 0.803741 [0.850543,0.662921] precision 0.842556 [0.86631,0.771084] precision 0.81491 [0.871429,0.64486] precision 0.806414 [0.852861,0.666667] precision 0.82225 [0.867036,0.6875] precision 0.830267 [0.864499,0.727273] precision 0.830317 [0.854881,0.75641] precision 0.826449 [0.867769,0.702128] precision 0.821115 [0.842377,0.757143] precision 0.816719 [0.847368,0.723684] precision 0.836277 [0.877437,0.71134] precision 0.830889 [0.878531,0.686275] precision 0.811144 [0.857534,0.67033] precision 0.820294 [0.861035,0.696629] precision 0.834221 [0.877095,0.704082] precision 0.8031 [0.850543,0.659091] precision 0.809668 [0.859116,0.659574] precision 0.824357 [0.869444,0.6875] precision 0.847711 [0.883333,0.739583] precision 0.834803 [0.879213,0.7] precision 0.834796 [0.86921,0.730337] precision 0.819905 [0.872521,0.660194] precision 0.806295 [0.864023,0.631068] precision 0.815016 [0.863889,0.666667] precision 0.847381 [0.881215,0.744681] precision 0.832516 [0.868852,0.722222] precision 0.798701 [0.864162,0.6] precision 0.83712 [0.869565,0.738636] precision 0.841375 [0.888571,0.698113] precision 0.828084 [0.868132,0.706522] precision 0.808117 [0.864407,0.637255] precision 0.824442 [0.875354,0.669903] precision 0.842134 [0.874317,0.744444] precision 0.847315 [0.867021,0.7875] precision 0.823811 [0.867403,0.691489] precision 0.840927 [0.880223,0.721649] precision 0.825128 [0.86376,0.707865] precision 0.807506 [0.851351,0.674419] precision 0.835246 [0.855643,0.773333] precision 0.8274 [0.86413,0.715909] precision 0.871065 [0.897222,0.791667] precision 0.820294 [0.861035,0.696629] precision 0.808995 [0.846154,0.696203] precision 0.805395 [0.861972,0.633663] precision 0.832802 [0.853403,0.77027] precision 0.834221 [0.877095,0.704082] precision 0.843261 [0.888889,0.704762] precision 0.799008 [0.858757,0.617647] precision 0.838052 [0.883853,0.699029] precision 0.834796 [0.86921,0.730337] precision 0.81354 [0.869318,0.644231] precision 0.844631 [0.876712,0.747253] precision 0.815789 [0.877551,0.628319] precision 0.818369 [0.868347,0.666667] precision 0.828084 [0.868132,0.706522] precision 0.828979 [0.878187,0.679612] precision 0.8322 [0.876751,0.69697] precision 0.819259 [0.851459,0.721519] precision 0.8031 [0.850543,0.659091] precision 0.82254 [0.861413,0.704545] precision 0.826104 [0.879656,0.663551] precision 0.834898 [0.85752,0.766234] precision 0.805282 [0.850949,0.666667] precision 0.829028 [0.872222,0.697917] precision 0.819096 [0.864641,0.680851] precision 0.83837 [0.877778,0.71875] precision 0.816855 [0.852941,0.707317] precision 0.817677 [0.866295,0.670103] precision 0.788673 [0.856322,0.583333] precision 0.808139 [0.829949,0.741935] precision 0.821731 [0.867036,0.684211] precision 0.822249 [0.859459,0.709302] precision 0.809774 [0.851752,0.682353] precision 0.834803 [0.879213,0.7] precision 0.827164 [0.862162,0.72093] precision 0.829591 [0.874302,0.693878] precision 0.839457 [0.865952,0.759036] precision 0.839847 [0.873973,0.736264] precision 0.856559 [0.882514,0.777778] precision 0.812671 [0.867232,0.647059] precision 0.815016 [0.863889,0.666667] precision 0.810627 [0.855586,0.674157] precision 0.849415 [0.879452,0.758242] precision 0.830279 [0.868493,0.714286] precision 0.850877 [0.900875,0.699115] precision 0.840524 [0.858268,0.786667] precision 0.8638 [0.885559,0.797753] precision 0.826423 [0.869806,0.694737] precision 0.831115 [0.872576,0.705263] predictive_accuracy 0.829322 predictive_accuracy 0.846827 predictive_accuracy 0.822757 predictive_accuracy 0.842451 predictive_accuracy 0.833698 predictive_accuracy 0.827133 predictive_accuracy 0.811816 predictive_accuracy 0.829322 predictive_accuracy 0.827133 predictive_accuracy 0.853392 predictive_accuracy 0.85558 predictive_accuracy 0.814004 predictive_accuracy 0.849015 predictive_accuracy 0.818381 predictive_accuracy 0.816193 predictive_accuracy 0.829322 predictive_accuracy 0.838074 predictive_accuracy 0.838074 predictive_accuracy 0.833698 predictive_accuracy 0.829322 predictive_accuracy 0.826754 predictive_accuracy 0.842105 predictive_accuracy 0.835526 predictive_accuracy 0.820175 predictive_accuracy 0.828947 predictive_accuracy 0.839912 predictive_accuracy 0.813596 predictive_accuracy 0.817982 predictive_accuracy 0.83114 predictive_accuracy 0.85307 predictive_accuracy 0.839912 predictive_accuracy 0.842105 predictive_accuracy 0.824561 predictive_accuracy 0.811404 predictive_accuracy 0.822368 predictive_accuracy 0.85307 predictive_accuracy 0.839912 predictive_accuracy 0.800439 predictive_accuracy 0.844298 predictive_accuracy 0.844298 predictive_accuracy 0.835526 predictive_accuracy 0.813596 predictive_accuracy 0.828947 predictive_accuracy 0.848684 predictive_accuracy 0.85307 predictive_accuracy 0.83114 predictive_accuracy 0.846491 predictive_accuracy 0.833333 predictive_accuracy 0.817982 predictive_accuracy 0.842105 predictive_accuracy 0.835526 predictive_accuracy 0.875 predictive_accuracy 0.828947 predictive_accuracy 0.820175 predictive_accuracy 0.811404 predictive_accuracy 0.839912 predictive_accuracy 0.839912 predictive_accuracy 0.846491 predictive_accuracy 0.804825 predictive_accuracy 0.842105 predictive_accuracy 0.842105 predictive_accuracy 0.817982 predictive_accuracy 0.850877 predictive_accuracy 0.815789 predictive_accuracy 0.824561 predictive_accuracy 0.835526 predictive_accuracy 0.833333 predictive_accuracy 0.837719 predictive_accuracy 0.828947 predictive_accuracy 0.813596 predictive_accuracy 0.83114 predictive_accuracy 0.828947 predictive_accuracy 0.842105 predictive_accuracy 0.815789 predictive_accuracy 0.835526 predictive_accuracy 0.826754 predictive_accuracy 0.844298 predictive_accuracy 0.826754 predictive_accuracy 0.824561 predictive_accuracy 0.791667 predictive_accuracy 0.817982 predictive_accuracy 0.828947 predictive_accuracy 0.83114 predictive_accuracy 0.820175 predictive_accuracy 0.839912 predictive_accuracy 0.835526 predictive_accuracy 0.835526 predictive_accuracy 0.846491 predictive_accuracy 0.846491 predictive_accuracy 0.861842 predictive_accuracy 0.817982 predictive_accuracy 0.822368 predictive_accuracy 0.820175 predictive_accuracy 0.855263 predictive_accuracy 0.837719 predictive_accuracy 0.850877 predictive_accuracy 0.846491 predictive_accuracy 0.868421 predictive_accuracy 0.833333 predictive_accuracy 0.837719 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 0.829322 [0.912536,0.578947] recall 0.846827 [0.924198,0.614035] recall 0.822757 [0.895044,0.605263] recall 0.842451 [0.915452,0.622807] recall 0.833698 [0.927114,0.552632] recall 0.827133 [0.930029,0.517544] recall 0.811816 [0.895044,0.561404] recall 0.829322 [0.918367,0.561404] recall 0.827133 [0.909621,0.578947] recall 0.853392 [0.938776,0.596491] recall 0.85558 [0.918367,0.666667] recall 0.814004 [0.912536,0.517544] recall 0.849015 [0.944606,0.561404] recall 0.818381 [0.889213,0.605263] recall 0.816193 [0.912536,0.526316] recall 0.829322 [0.912536,0.578947] recall 0.838074 [0.930029,0.561404] recall 0.838074 [0.944606,0.517544] recall 0.833698 [0.918367,0.578947] recall 0.829322 [0.950437,0.464912] recall 0.826754 [0.938776,0.486726] recall 0.842105 [0.918367,0.610619] recall 0.835526 [0.906706,0.619469] recall 0.820175 [0.912536,0.539823] recall 0.828947 [0.921283,0.548673] recall 0.839912 [0.915452,0.610619] recall 0.813596 [0.912536,0.513274] recall 0.817982 [0.906706,0.548673] recall 0.83114 [0.912536,0.584071] recall 0.85307 [0.927114,0.628319] recall 0.839912 [0.912536,0.619469] recall 0.842105 [0.930029,0.575221] recall 0.824561 [0.897959,0.60177] recall 0.811404 [0.889213,0.575221] recall 0.822368 [0.906706,0.566372] recall 0.85307 [0.930029,0.619469] recall 0.839912 [0.927114,0.575221] recall 0.800439 [0.87172,0.584071] recall 0.844298 [0.932945,0.575221] recall 0.844298 [0.906706,0.654867] recall 0.835526 [0.921283,0.575221] recall 0.813596 [0.892128,0.575221] recall 0.828947 [0.900875,0.610619] recall 0.848684 [0.932945,0.59292] recall 0.85307 [0.950437,0.557522] recall 0.83114 [0.915452,0.575221] recall 0.846491 [0.921283,0.619469] recall 0.833333 [0.924198,0.557522] recall 0.817982 [0.918367,0.513274] recall 0.842105 [0.950437,0.513274] recall 0.835526 [0.927114,0.557522] recall 0.875 [0.941691,0.672566] recall 0.828947 [0.921283,0.548673] recall 0.820175 [0.930029,0.486726] recall 0.811404 [0.892128,0.566372] recall 0.839912 [0.950437,0.504425] recall 0.839912 [0.915452,0.610619] recall 0.846491 [0.909621,0.654867] recall 0.804825 [0.886297,0.557522] recall 0.842105 [0.909621,0.637168] recall 0.842105 [0.930029,0.575221] recall 0.817982 [0.892128,0.59292] recall 0.850877 [0.932945,0.60177] recall 0.815789 [0.877551,0.628319] recall 0.824561 [0.90379,0.584071] recall 0.835526 [0.921283,0.575221] recall 0.833333 [0.90379,0.619469] recall 0.837719 [0.912536,0.610619] recall 0.828947 [0.93586,0.504425] recall 0.813596 [0.912536,0.513274] recall 0.83114 [0.924198,0.548673] recall 0.828947 [0.895044,0.628319] recall 0.842105 [0.947522,0.522124] recall 0.815789 [0.915452,0.513274] recall 0.835526 [0.915452,0.59292] recall 0.826754 [0.912536,0.566372] recall 0.844298 [0.921283,0.610619] recall 0.826754 [0.930029,0.513274] recall 0.824561 [0.906706,0.575221] recall 0.791667 [0.868805,0.557522] recall 0.817982 [0.953353,0.40708] recall 0.828947 [0.912536,0.575221] recall 0.83114 [0.927114,0.539823] recall 0.820175 [0.921283,0.513274] recall 0.839912 [0.912536,0.619469] recall 0.835526 [0.930029,0.548673] recall 0.835526 [0.912536,0.60177] recall 0.846491 [0.941691,0.557522] recall 0.846491 [0.930029,0.59292] recall 0.861842 [0.941691,0.619469] recall 0.817982 [0.895044,0.584071] recall 0.822368 [0.906706,0.566372] recall 0.820175 [0.915452,0.530973] recall 0.855263 [0.93586,0.610619] recall 0.837719 [0.924198,0.575221] recall 0.850877 [0.900875,0.699115] recall 0.846491 [0.953353,0.522124] recall 0.868421 [0.947522,0.628319] recall 0.833333 [0.915452,0.584071] recall 0.837719 [0.918367,0.59292] relative_absolute_error 0.555561 relative_absolute_error 0.52832 relative_absolute_error 0.576828 relative_absolute_error 0.538131 relative_absolute_error 0.56174 relative_absolute_error 0.580498 relative_absolute_error 0.592771 relative_absolute_error 0.579761 relative_absolute_error 0.584157 relative_absolute_error 0.549622 relative_absolute_error 0.52354 relative_absolute_error 0.587071 relative_absolute_error 0.579036 relative_absolute_error 0.575195 relative_absolute_error 0.598741 relative_absolute_error 0.576526 relative_absolute_error 0.574074 relative_absolute_error 0.573737 relative_absolute_error 0.55768 relative_absolute_error 0.590739 relative_absolute_error 0.596323 relative_absolute_error 0.53906 relative_absolute_error 0.567337 relative_absolute_error 0.565838 relative_absolute_error 0.56344 relative_absolute_error 0.569294 relative_absolute_error 0.609353 relative_absolute_error 0.588917 relative_absolute_error 0.562862 relative_absolute_error 0.525898 relative_absolute_error 0.540114 relative_absolute_error 0.547648 relative_absolute_error 0.546183 relative_absolute_error 0.595209 relative_absolute_error 0.589755 relative_absolute_error 0.525884 relative_absolute_error 0.583001 relative_absolute_error 0.635377 relative_absolute_error 0.546245 relative_absolute_error 0.534967 relative_absolute_error 0.589191 relative_absolute_error 0.603088 relative_absolute_error 0.556807 relative_absolute_error 0.508342 relative_absolute_error 0.537407 relative_absolute_error 0.538794 relative_absolute_error 0.550222 relative_absolute_error 0.528747 relative_absolute_error 0.592723 relative_absolute_error 0.54984 relative_absolute_error 0.55245 relative_absolute_error 0.514944 relative_absolute_error 0.571654 relative_absolute_error 0.570129 relative_absolute_error 0.614403 relative_absolute_error 0.597953 relative_absolute_error 0.540037 relative_absolute_error 0.543233 relative_absolute_error 0.595376 relative_absolute_error 0.544462 relative_absolute_error 0.556579 relative_absolute_error 0.591323 relative_absolute_error 0.526668 relative_absolute_error 0.607927 relative_absolute_error 0.570728 relative_absolute_error 0.563847 relative_absolute_error 0.553801 relative_absolute_error 0.548077 relative_absolute_error 0.598566 relative_absolute_error 0.603379 relative_absolute_error 0.584951 relative_absolute_error 0.542779 relative_absolute_error 0.55241 relative_absolute_error 0.613368 relative_absolute_error 0.554517 relative_absolute_error 0.567989 relative_absolute_error 0.559262 relative_absolute_error 0.576495 relative_absolute_error 0.546348 relative_absolute_error 0.638134 relative_absolute_error 0.615034 relative_absolute_error 0.549542 relative_absolute_error 0.566151 relative_absolute_error 0.59774 relative_absolute_error 0.571212 relative_absolute_error 0.543208 relative_absolute_error 0.568423 relative_absolute_error 0.55423 relative_absolute_error 0.581184 relative_absolute_error 0.513421 relative_absolute_error 0.601728 relative_absolute_error 0.582665 relative_absolute_error 0.595761 relative_absolute_error 0.503785 relative_absolute_error 0.538403 relative_absolute_error 0.48208 relative_absolute_error 0.554025 relative_absolute_error 0.507991 relative_absolute_error 0.549588 relative_absolute_error 0.573241 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 0.371063 root_mean_squared_error 0.349606 root_mean_squared_error 0.363859 root_mean_squared_error 0.35392 root_mean_squared_error 0.365957 root_mean_squared_error 0.372614 root_mean_squared_error 0.387763 root_mean_squared_error 0.37546 root_mean_squared_error 0.373213 root_mean_squared_error 0.34429 root_mean_squared_error 0.341678 root_mean_squared_error 0.383326 root_mean_squared_error 0.351135 root_mean_squared_error 0.372536 root_mean_squared_error 0.378927 root_mean_squared_error 0.37459 root_mean_squared_error 0.36001 root_mean_squared_error 0.357693 root_mean_squared_error 0.360299 root_mean_squared_error 0.376845 root_mean_squared_error 0.37484 root_mean_squared_error 0.356564 root_mean_squared_error 0.356134 root_mean_squared_error 0.378281 root_mean_squared_error 0.366192 root_mean_squared_error 0.356207 root_mean_squared_error 0.377918 root_mean_squared_error 0.381264 root_mean_squared_error 0.36548 root_mean_squared_error 0.341371 root_mean_squared_error 0.348945 root_mean_squared_error 0.34793 root_mean_squared_error 0.365336 root_mean_squared_error 0.377251 root_mean_squared_error 0.37226 root_mean_squared_error 0.343862 root_mean_squared_error 0.360922 root_mean_squared_error 0.397815 root_mean_squared_error 0.345882 root_mean_squared_error 0.351299 root_mean_squared_error 0.353662 root_mean_squared_error 0.373895 root_mean_squared_error 0.360957 root_mean_squared_error 0.342339 root_mean_squared_error 0.334508 root_mean_squared_error 0.352922 root_mean_squared_error 0.353558 root_mean_squared_error 0.351239 root_mean_squared_error 0.38036 root_mean_squared_error 0.35995 root_mean_squared_error 0.352742 root_mean_squared_error 0.326703 root_mean_squared_error 0.362543 root_mean_squared_error 0.3712 root_mean_squared_error 0.389728 root_mean_squared_error 0.358172 root_mean_squared_error 0.353205 root_mean_squared_error 0.350297 root_mean_squared_error 0.388282 root_mean_squared_error 0.363144 root_mean_squared_error 0.352815 root_mean_squared_error 0.364346 root_mean_squared_error 0.342835 root_mean_squared_error 0.384739 root_mean_squared_error 0.3681 root_mean_squared_error 0.361755 root_mean_squared_error 0.352595 root_mean_squared_error 0.355543 root_mean_squared_error 0.366885 root_mean_squared_error 0.381147 root_mean_squared_error 0.370716 root_mean_squared_error 0.36826 root_mean_squared_error 0.345416 root_mean_squared_error 0.372543 root_mean_squared_error 0.347666 root_mean_squared_error 0.371598 root_mean_squared_error 0.355123 root_mean_squared_error 0.358515 root_mean_squared_error 0.358187 root_mean_squared_error 0.399208 root_mean_squared_error 0.37181 root_mean_squared_error 0.365488 root_mean_squared_error 0.367462 root_mean_squared_error 0.37201 root_mean_squared_error 0.361087 root_mean_squared_error 0.35529 root_mean_squared_error 0.360996 root_mean_squared_error 0.352056 root_mean_squared_error 0.356282 root_mean_squared_error 0.327651 root_mean_squared_error 0.367783 root_mean_squared_error 0.372685 root_mean_squared_error 0.374758 root_mean_squared_error 0.339955 root_mean_squared_error 0.35168 root_mean_squared_error 0.332711 root_mean_squared_error 0.35136 root_mean_squared_error 0.339566 root_mean_squared_error 0.350154 root_mean_squared_error 0.365384 root_relative_squared_error 0.857557 root_relative_squared_error 0.807967 root_relative_squared_error 0.840908 root_relative_squared_error 0.817937 root_relative_squared_error 0.845756 root_relative_squared_error 0.861141 root_relative_squared_error 0.896152 root_relative_squared_error 0.867719 root_relative_squared_error 0.862525 root_relative_squared_error 0.795681 root_relative_squared_error 0.789645 root_relative_squared_error 0.885896 root_relative_squared_error 0.811502 root_relative_squared_error 0.86096 root_relative_squared_error 0.87573 root_relative_squared_error 0.865708 root_relative_squared_error 0.832012 root_relative_squared_error 0.826656 root_relative_squared_error 0.832681 root_relative_squared_error 0.870918 root_relative_squared_error 0.868208 root_relative_squared_error 0.825878 root_relative_squared_error 0.824881 root_relative_squared_error 0.87618 root_relative_squared_error 0.848178 root_relative_squared_error 0.825051 root_relative_squared_error 0.875338 root_relative_squared_error 0.883089 root_relative_squared_error 0.846529 root_relative_squared_error 0.790687 root_relative_squared_error 0.808231 root_relative_squared_error 0.805881 root_relative_squared_error 0.846195 root_relative_squared_error 0.873793 root_relative_squared_error 0.862233 root_relative_squared_error 0.796457 root_relative_squared_error 0.835971 root_relative_squared_error 0.921424 root_relative_squared_error 0.801136 root_relative_squared_error 0.813682 root_relative_squared_error 0.819156 root_relative_squared_error 0.86602 root_relative_squared_error 0.836054 root_relative_squared_error 0.79293 root_relative_squared_error 0.774792 root_relative_squared_error 0.817442 root_relative_squared_error 0.818914 root_relative_squared_error 0.813544 root_relative_squared_error 0.880994 root_relative_squared_error 0.833722 root_relative_squared_error 0.817024 root_relative_squared_error 0.756713 root_relative_squared_error 0.839726 root_relative_squared_error 0.859777 root_relative_squared_error 0.902694 root_relative_squared_error 0.829601 root_relative_squared_error 0.818098 root_relative_squared_error 0.811362 root_relative_squared_error 0.899343 root_relative_squared_error 0.84112 root_relative_squared_error 0.817195 root_relative_squared_error 0.843904 root_relative_squared_error 0.794078 root_relative_squared_error 0.891136 root_relative_squared_error 0.852599 root_relative_squared_error 0.837901 root_relative_squared_error 0.816685 root_relative_squared_error 0.823513 root_relative_squared_error 0.849783 root_relative_squared_error 0.882817 root_relative_squared_error 0.858658 root_relative_squared_error 0.852969 root_relative_squared_error 0.800056 root_relative_squared_error 0.86289 root_relative_squared_error 0.805268 root_relative_squared_error 0.860701 root_relative_squared_error 0.822539 root_relative_squared_error 0.830396 root_relative_squared_error 0.829636 root_relative_squared_error 0.924651 root_relative_squared_error 0.86119 root_relative_squared_error 0.846549 root_relative_squared_error 0.85112 root_relative_squared_error 0.861654 root_relative_squared_error 0.836355 root_relative_squared_error 0.822926 root_relative_squared_error 0.836144 root_relative_squared_error 0.815437 root_relative_squared_error 0.825226 root_relative_squared_error 0.758909 root_relative_squared_error 0.851863 root_relative_squared_error 0.863217 root_relative_squared_error 0.86802 root_relative_squared_error 0.787408 root_relative_squared_error 0.814565 root_relative_squared_error 0.770628 root_relative_squared_error 0.813824 root_relative_squared_error 0.786508 root_relative_squared_error 0.811031 root_relative_squared_error 0.846307 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 500 usercpu_time_millis 500 usercpu_time_millis 480 usercpu_time_millis 500 usercpu_time_millis 490 usercpu_time_millis 480 usercpu_time_millis 470 usercpu_time_millis 480 usercpu_time_millis 490 usercpu_time_millis 480 usercpu_time_millis 510 usercpu_time_millis 480 usercpu_time_millis 520 usercpu_time_millis 520 usercpu_time_millis 530 usercpu_time_millis 500 usercpu_time_millis 480 usercpu_time_millis 490 usercpu_time_millis 500 usercpu_time_millis 480 usercpu_time_millis 510 usercpu_time_millis 530 usercpu_time_millis 510 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 460 usercpu_time_millis 480 usercpu_time_millis 480 usercpu_time_millis 490 usercpu_time_millis 490 usercpu_time_millis 530 usercpu_time_millis 510 usercpu_time_millis 510 usercpu_time_millis 500 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 470 usercpu_time_millis 500 usercpu_time_millis 530 usercpu_time_millis 450 usercpu_time_millis 470 usercpu_time_millis 510 usercpu_time_millis 470 usercpu_time_millis 450 usercpu_time_millis 490 usercpu_time_millis 500 usercpu_time_millis 480 usercpu_time_millis 520 usercpu_time_millis 550 usercpu_time_millis 480 usercpu_time_millis 470 usercpu_time_millis 480 usercpu_time_millis 470 usercpu_time_millis 490 usercpu_time_millis 470 usercpu_time_millis 500 usercpu_time_millis 490 usercpu_time_millis 490 usercpu_time_millis 520 usercpu_time_millis 500 usercpu_time_millis 490 usercpu_time_millis 470 usercpu_time_millis 510 usercpu_time_millis 470 usercpu_time_millis 480 usercpu_time_millis 480 usercpu_time_millis 480 usercpu_time_millis 490 usercpu_time_millis 540 usercpu_time_millis 530 usercpu_time_millis 490 usercpu_time_millis 450 usercpu_time_millis 460 usercpu_time_millis 490 usercpu_time_millis 490 usercpu_time_millis 510 usercpu_time_millis 500 usercpu_time_millis 470 usercpu_time_millis 480 usercpu_time_millis 490 usercpu_time_millis 470 usercpu_time_millis 480 usercpu_time_millis 510 usercpu_time_millis 520 usercpu_time_millis 460 usercpu_time_millis 450 usercpu_time_millis 520 usercpu_time_millis 480 usercpu_time_millis 500 usercpu_time_millis 520 usercpu_time_millis 510 usercpu_time_millis 460 usercpu_time_millis 450 usercpu_time_millis 470 usercpu_time_millis 500 usercpu_time_millis 450 usercpu_time_millis 470 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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