211280 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1183 weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3) 2031 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 D 1 1097 N 5 1097 E weka.attributeSelection.CfsSubsetEval 1183 S weka.attributeSelection.BestFirst 1183 W weka.classifiers.trees.J48 1183 P 1 1184 E 1 1184 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 702427 description https://api.openml.org/data/download/702427/weka_generated_run1127582710698048155.xml -1 702430 model_readable https://api.openml.org/data/download/702430/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier3297096833337206087.model -1 702429 model_serialized https://api.openml.org/data/download/702429/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier1940373079592948993.model -1 702428 predictions https://api.openml.org/data/download/702428/weka_generated_predictions1179333747174961193.arff area_under_roc_curve 0.812589 [0.812589,0.812589] average_cost 0 f_measure 0.761727 [0.759038,0.764434] kappa 0.523579 kb_relative_information_score 15778.198001 mean_absolute_error 0.328442 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.762025 [0.770664,0.753324] predictive_accuracy 0.761767 prior_entropy 0.999991 recall 0.761767 [0.747758,0.775877] relative_absolute_error 0.656893 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.412985 root_relative_squared_error 0.825975 scimark_benchmark 939.520536 [556.1991982197794, 1012.0561783624415, 484.10363182779514, 907.0726314340118, 1738.1710384960516] total_cost 0 usercpu_time_millis 40 usercpu_time_millis_testing 0 usercpu_time_millis_training 40 area_under_roc_curve 0.833955 [0.833955,0.833955] area_under_roc_curve 0.802862 [0.802862,0.802862] area_under_roc_curve 0.790756 [0.790756,0.790756] area_under_roc_curve 0.810119 [0.810119,0.810119] area_under_roc_curve 0.819601 [0.819601,0.819601] area_under_roc_curve 0.810696 [0.810696,0.810696] area_under_roc_curve 0.807605 [0.807605,0.807605] area_under_roc_curve 0.821772 [0.821772,0.821772] area_under_roc_curve 0.825141 [0.825141,0.825141] area_under_roc_curve 0.832799 [0.832799,0.832799] area_under_roc_curve 0.775721 [0.775721,0.775721] area_under_roc_curve 0.814812 [0.814812,0.814812] area_under_roc_curve 0.778468 [0.778468,0.778468] area_under_roc_curve 0.867468 [0.867468,0.867468] area_under_roc_curve 0.78149 [0.78149,0.78149] area_under_roc_curve 0.79707 [0.79707,0.79707] area_under_roc_curve 0.798958 [0.798958,0.798958] area_under_roc_curve 0.787821 [0.787821,0.787821] area_under_roc_curve 0.800366 [0.800366,0.800366] area_under_roc_curve 0.795066 [0.795066,0.795066] area_under_roc_curve 0.876935 [0.876935,0.876935] area_under_roc_curve 0.85823 [0.85823,0.85823] area_under_roc_curve 0.828251 [0.828251,0.828251] area_under_roc_curve 0.806834 [0.806834,0.806834] area_under_roc_curve 0.78331 [0.78331,0.78331] area_under_roc_curve 0.773672 [0.773672,0.773672] area_under_roc_curve 0.85957 [0.85957,0.85957] area_under_roc_curve 0.79138 [0.79138,0.79138] area_under_roc_curve 0.824325 [0.824325,0.824325] area_under_roc_curve 0.805838 [0.805838,0.805838] area_under_roc_curve 0.777804 [0.777804,0.777804] area_under_roc_curve 0.774748 [0.774748,0.774748] area_under_roc_curve 0.805975 [0.805975,0.805975] area_under_roc_curve 0.77579 [0.77579,0.77579] area_under_roc_curve 0.823672 [0.823672,0.823672] area_under_roc_curve 0.807658 [0.807658,0.807658] area_under_roc_curve 0.773203 [0.773203,0.773203] area_under_roc_curve 0.796772 [0.796772,0.796772] area_under_roc_curve 0.782097 [0.782097,0.782097] area_under_roc_curve 0.831342 [0.831342,0.831342] area_under_roc_curve 0.783986 [0.783986,0.783986] area_under_roc_curve 0.774599 [0.774599,0.774599] area_under_roc_curve 0.800904 [0.800904,0.800904] area_under_roc_curve 0.778606 [0.778606,0.778606] area_under_roc_curve 0.804808 [0.804808,0.804808] area_under_roc_curve 0.802541 [0.802541,0.802541] area_under_roc_curve 0.820845 [0.820845,0.820845] area_under_roc_curve 0.812477 [0.812477,0.812477] area_under_roc_curve 0.828663 [0.828663,0.828663] area_under_roc_curve 0.825561 [0.825561,0.825561] area_under_roc_curve 0.805872 [0.805872,0.805872] area_under_roc_curve 0.825435 [0.825435,0.825435] area_under_roc_curve 0.816724 [0.816724,0.816724] area_under_roc_curve 0.810668 [0.810668,0.810668] area_under_roc_curve 0.802473 [0.802473,0.802473] area_under_roc_curve 0.834398 [0.834398,0.834398] area_under_roc_curve 0.80981 [0.80981,0.80981] area_under_roc_curve 0.802484 [0.802484,0.802484] area_under_roc_curve 0.77263 [0.77263,0.77263] area_under_roc_curve 0.77888 [0.77888,0.77888] area_under_roc_curve 0.812489 [0.812489,0.812489] area_under_roc_curve 0.795231 [0.795231,0.795231] area_under_roc_curve 0.85372 [0.85372,0.85372] area_under_roc_curve 0.788501 [0.788501,0.788501] area_under_roc_curve 0.834444 [0.834444,0.834444] area_under_roc_curve 0.832131 [0.832131,0.832131] area_under_roc_curve 0.766186 [0.766186,0.766186] area_under_roc_curve 0.797212 [0.797212,0.797212] area_under_roc_curve 0.842273 [0.842273,0.842273] area_under_roc_curve 0.787901 [0.787901,0.787901] area_under_roc_curve 0.818538 [0.818538,0.818538] area_under_roc_curve 0.795052 [0.795052,0.795052] area_under_roc_curve 0.849627 [0.849627,0.849627] area_under_roc_curve 0.78125 [0.78125,0.78125] area_under_roc_curve 0.804449 [0.804449,0.804449] area_under_roc_curve 0.829212 [0.829212,0.829212] area_under_roc_curve 0.8053 [0.8053,0.8053] area_under_roc_curve 0.84084 [0.84084,0.84084] area_under_roc_curve 0.80691 [0.80691,0.80691] area_under_roc_curve 0.834664 [0.834664,0.834664] area_under_roc_curve 0.848581 [0.848581,0.848581] area_under_roc_curve 0.842715 [0.842715,0.842715] area_under_roc_curve 0.792625 [0.792625,0.792625] area_under_roc_curve 0.795466 [0.795466,0.795466] area_under_roc_curve 0.811764 [0.811764,0.811764] area_under_roc_curve 0.824899 [0.824899,0.824899] area_under_roc_curve 0.786403 [0.786403,0.786403] area_under_roc_curve 0.790497 [0.790497,0.790497] area_under_roc_curve 0.79626 [0.79626,0.79626] area_under_roc_curve 0.764124 [0.764124,0.764124] area_under_roc_curve 0.785575 [0.785575,0.785575] area_under_roc_curve 0.779214 [0.779214,0.779214] area_under_roc_curve 0.792798 [0.792798,0.792798] area_under_roc_curve 0.798664 [0.798664,0.798664] area_under_roc_curve 0.807324 [0.807324,0.807324] area_under_roc_curve 0.837298 [0.837298,0.837298] area_under_roc_curve 0.834227 [0.834227,0.834227] area_under_roc_curve 0.820701 [0.820701,0.820701] area_under_roc_curve 0.811856 [0.811856,0.811856] area_under_roc_curve 0.807037 [0.807037,0.807037] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.777358 [0.771499,0.783217] f_measure 0.749995 [0.733333,0.766816] f_measure 0.746266 [0.740196,0.752336] f_measure 0.748661 [0.755245,0.742015] f_measure 0.772507 [0.765432,0.779582] f_measure 0.770251 [0.765854,0.774648] f_measure 0.765012 [0.753769,0.776256] f_measure 0.77023 [0.775701,0.764706] f_measure 0.772726 [0.772182,0.77327] f_measure 0.784447 [0.777228,0.791667] f_measure 0.72966 [0.731591,0.727711] f_measure 0.777263 [0.77037,0.784223] f_measure 0.72966 [0.729017,0.73031] f_measure 0.801364 [0.798054,0.804706] f_measure 0.758325 [0.762353,0.754258] f_measure 0.748782 [0.746988,0.750594] f_measure 0.758352 [0.756627,0.760095] f_measure 0.72927 [0.719603,0.73903] f_measure 0.755107 [0.741117,0.769231] f_measure 0.741556 [0.737864,0.745283] f_measure 0.818182 [0.818182,0.818182] f_measure 0.808604 [0.810427,0.806763] f_measure 0.791696 [0.798144,0.785185] f_measure 0.77023 [0.765854,0.774648] f_measure 0.755746 [0.748768,0.762791] f_measure 0.71515 [0.709046,0.721311] f_measure 0.815279 [0.806045,0.824601] f_measure 0.743545 [0.733167,0.754023] f_measure 0.758236 [0.753056,0.763466] f_measure 0.75359 [0.754177,0.752998] f_measure 0.738638 [0.726817,0.750572] f_measure 0.746411 [0.747619,0.745192] f_measure 0.775851 [0.75718,0.794702] f_measure 0.717121 [0.705,0.729358] f_measure 0.7771 [0.787185,0.766917] f_measure 0.763138 [0.761446,0.764846] f_measure 0.729642 [0.732861,0.726392] f_measure 0.755914 [0.752427,0.759434] f_measure 0.740701 [0.725888,0.755656] f_measure 0.777432 [0.782201,0.772616] f_measure 0.736842 [0.736842,0.736842] f_measure 0.729611 [0.734118,0.725061] f_measure 0.779844 [0.776699,0.783019] f_measure 0.758175 [0.751843,0.764569] f_measure 0.77004 [0.762376,0.777778] f_measure 0.732045 [0.730769,0.733333] f_measure 0.772682 [0.776471,0.768856] f_measure 0.746086 [0.737624,0.75463] f_measure 0.794249 [0.793269,0.795238] f_measure 0.779874 [0.783019,0.776699] f_measure 0.746411 [0.746411,0.746411] f_measure 0.755947 [0.759434,0.752427] f_measure 0.774655 [0.765,0.784404] f_measure 0.770177 [0.776744,0.763547] f_measure 0.77512 [0.77512,0.77512] f_measure 0.78677 [0.779156,0.794457] f_measure 0.753228 [0.744417,0.762125] f_measure 0.774965 [0.769608,0.780374] f_measure 0.746295 [0.741463,0.751174] f_measure 0.758103 [0.750617,0.765661] f_measure 0.746167 [0.738916,0.753488] f_measure 0.743689 [0.752887,0.734491] f_measure 0.789377 [0.785366,0.793427] f_measure 0.770203 [0.764706,0.775701] f_measure 0.772598 [0.767726,0.777518] f_measure 0.784659 [0.787736,0.781553] f_measure 0.734299 [0.728606,0.740047] f_measure 0.763048 [0.757946,0.76815] f_measure 0.770335 [0.770335,0.770335] f_measure 0.760535 [0.768519,0.752475] f_measure 0.776886 [0.772616,0.781176] f_measure 0.762533 [0.759124,0.765957] f_measure 0.774526 [0.778302,0.770732] f_measure 0.738374 [0.730864,0.745921] f_measure 0.757766 [0.755448,0.760095] f_measure 0.773287 [0.756477,0.790179] f_measure 0.784173 [0.784689,0.783654] f_measure 0.796034 [0.791155,0.800937] f_measure 0.781767 [0.780723,0.782816] f_measure 0.779369 [0.780952,0.777778] f_measure 0.781138 [0.76962,0.792711] f_measure 0.793741 [0.796209,0.791262] f_measure 0.738525 [0.743529,0.733496] f_measure 0.740989 [0.73913,0.742857] f_measure 0.764866 [0.759804,0.769953] f_measure 0.768987 [0.782805,0.755102] f_measure 0.745126 [0.732323,0.757991] f_measure 0.70708 [0.717593,0.696517] f_measure 0.76729 [0.762836,0.771765] f_measure 0.724106 [0.718826,0.729412] f_measure 0.76001 [0.753695,0.766355] f_measure 0.742953 [0.754023,0.73183] f_measure 0.740924 [0.736585,0.745283] f_measure 0.76729 [0.762836,0.771765] f_measure 0.7506 [0.751196,0.75] f_measure 0.791235 [0.786241,0.796253] f_measure 0.755396 [0.755981,0.754808] f_measure 0.755012 [0.764977,0.745] f_measure 0.760175 [0.758454,0.761905] f_measure 0.76015 [0.757282,0.763033] kappa 0.555024 kappa 0.502722 kappa 0.492823 kappa 0.497493 kappa 0.545455 kappa 0.54067 kappa 0.5311 kappa 0.540575 kappa 0.545455 kappa 0.569378 kappa 0.459305 kappa 0.555166 kappa 0.459355 kappa 0.602944 kappa 0.51668 kappa 0.497654 kappa 0.516791 kappa 0.459528 kappa 0.512241 kappa 0.483336 kappa 0.636372 kappa 0.617199 kappa 0.583618 kappa 0.540764 kappa 0.512107 kappa 0.430752 kappa 0.631764 kappa 0.488249 kappa 0.516857 kappa 0.507177 kappa 0.478708 kappa 0.492811 kappa 0.55539 kappa 0.435652 kappa 0.55484 kappa 0.526359 kappa 0.459281 kappa 0.51204 kappa 0.483549 kappa 0.554942 kappa 0.473696 kappa 0.459256 kappa 0.559879 kappa 0.516879 kappa 0.540828 kappa 0.464152 kappa 0.545392 kappa 0.492997 kappa 0.588545 kappa 0.559758 kappa 0.492835 kappa 0.511906 kappa 0.550435 kappa 0.540554 kappa 0.55025 kappa 0.574319 kappa 0.507357 kappa 0.550352 kappa 0.492927 kappa 0.516901 kappa 0.492974 kappa 0.488038 kappa 0.579034 kappa 0.54067 kappa 0.545559 kappa 0.569329 kappa 0.469021 kappa 0.526316 kappa 0.54068 kappa 0.521389 kappa 0.554 kappa 0.525215 kappa 0.549127 kappa 0.477293 kappa 0.515613 kappa 0.549324 kappa 0.568343 kappa 0.592375 kappa 0.563562 kappa 0.55874 kappa 0.563662 kappa 0.587509 kappa 0.477173 kappa 0.482035 kappa 0.530027 kappa 0.539439 kappa 0.491732 kappa 0.414771 kappa 0.534818 kappa 0.448495 kappa 0.520447 kappa 0.486707 kappa 0.482059 kappa 0.534818 kappa 0.501196 kappa 0.582784 kappa 0.510789 kappa 0.510699 kappa 0.520403 kappa 0.520414 kb_relative_information_score 174.248967 kb_relative_information_score 151.119615 kb_relative_information_score 145.781013 kb_relative_information_score 163.197471 kb_relative_information_score 162.058939 kb_relative_information_score 159.133461 kb_relative_information_score 161.669778 kb_relative_information_score 161.364736 kb_relative_information_score 168.672723 kb_relative_information_score 168.342444 kb_relative_information_score 139.728886 kb_relative_information_score 164.291882 kb_relative_information_score 139.858339 kb_relative_information_score 189.266681 kb_relative_information_score 143.815696 kb_relative_information_score 145.082962 kb_relative_information_score 153.975289 kb_relative_information_score 141.794598 kb_relative_information_score 154.94745 kb_relative_information_score 152.963813 kb_relative_information_score 192.667641 kb_relative_information_score 184.083671 kb_relative_information_score 165.879663 kb_relative_information_score 156.31057 kb_relative_information_score 142.954336 kb_relative_information_score 135.958685 kb_relative_information_score 189.370063 kb_relative_information_score 144.118063 kb_relative_information_score 166.303925 kb_relative_information_score 150.331313 kb_relative_information_score 141.109814 kb_relative_information_score 144.226209 kb_relative_information_score 165.453305 kb_relative_information_score 143.010736 kb_relative_information_score 171.1245 kb_relative_information_score 153.209079 kb_relative_information_score 140.077785 kb_relative_information_score 149.318481 kb_relative_information_score 146.731062 kb_relative_information_score 171.775878 kb_relative_information_score 145.140825 kb_relative_information_score 139.93776 kb_relative_information_score 158.533141 kb_relative_information_score 143.733183 kb_relative_information_score 159.747681 kb_relative_information_score 152.110993 kb_relative_information_score 162.034307 kb_relative_information_score 155.922026 kb_relative_information_score 167.598931 kb_relative_information_score 169.711981 kb_relative_information_score 152.326688 kb_relative_information_score 162.337787 kb_relative_information_score 170.273978 kb_relative_information_score 159.872967 kb_relative_information_score 163.753522 kb_relative_information_score 175.872346 kb_relative_information_score 157.337053 kb_relative_information_score 157.812934 kb_relative_information_score 139.861942 kb_relative_information_score 150.880419 kb_relative_information_score 160.802221 kb_relative_information_score 154.567494 kb_relative_information_score 178.511821 kb_relative_information_score 153.842035 kb_relative_information_score 170.611479 kb_relative_information_score 169.985348 kb_relative_information_score 133.118185 kb_relative_information_score 160.772453 kb_relative_information_score 177.540968 kb_relative_information_score 144.476983 kb_relative_information_score 167.450081 kb_relative_information_score 149.718942 kb_relative_information_score 170.327746 kb_relative_information_score 143.688093 kb_relative_information_score 159.812421 kb_relative_information_score 164.262509 kb_relative_information_score 152.914623 kb_relative_information_score 169.613867 kb_relative_information_score 155.45374 kb_relative_information_score 169.636737 kb_relative_information_score 172.466642 kb_relative_information_score 175.253789 kb_relative_information_score 143.804088 kb_relative_information_score 146.574449 kb_relative_information_score 158.159579 kb_relative_information_score 171.042461 kb_relative_information_score 143.041215 kb_relative_information_score 147.037 kb_relative_information_score 151.503608 kb_relative_information_score 136.509452 kb_relative_information_score 152.084018 kb_relative_information_score 140.644157 kb_relative_information_score 157.326751 kb_relative_information_score 152.573527 kb_relative_information_score 161.503316 kb_relative_information_score 180.465733 kb_relative_information_score 167.095659 kb_relative_information_score 163.101949 kb_relative_information_score 152.413366 kb_relative_information_score 158.359507 mean_absolute_error 0.309398 mean_absolute_error 0.336498 mean_absolute_error 0.340359 mean_absolute_error 0.320405 mean_absolute_error 0.325397 mean_absolute_error 0.328443 mean_absolute_error 0.322504 mean_absolute_error 0.325441 mean_absolute_error 0.314665 mean_absolute_error 0.315963 mean_absolute_error 0.348802 mean_absolute_error 0.32242 mean_absolute_error 0.346917 mean_absolute_error 0.290512 mean_absolute_error 0.347036 mean_absolute_error 0.343976 mean_absolute_error 0.333283 mean_absolute_error 0.34558 mean_absolute_error 0.331993 mean_absolute_error 0.33094 mean_absolute_error 0.289309 mean_absolute_error 0.299009 mean_absolute_error 0.322113 mean_absolute_error 0.33186 mean_absolute_error 0.346134 mean_absolute_error 0.350596 mean_absolute_error 0.295706 mean_absolute_error 0.344691 mean_absolute_error 0.31612 mean_absolute_error 0.337602 mean_absolute_error 0.347502 mean_absolute_error 0.342917 mean_absolute_error 0.321444 mean_absolute_error 0.343105 mean_absolute_error 0.313782 mean_absolute_error 0.332681 mean_absolute_error 0.347679 mean_absolute_error 0.339268 mean_absolute_error 0.342356 mean_absolute_error 0.311849 mean_absolute_error 0.341296 mean_absolute_error 0.348614 mean_absolute_error 0.331369 mean_absolute_error 0.347477 mean_absolute_error 0.325962 mean_absolute_error 0.331462 mean_absolute_error 0.325343 mean_absolute_error 0.328405 mean_absolute_error 0.317396 mean_absolute_error 0.316829 mean_absolute_error 0.334453 mean_absolute_error 0.321778 mean_absolute_error 0.314309 mean_absolute_error 0.326828 mean_absolute_error 0.322353 mean_absolute_error 0.307132 mean_absolute_error 0.327333 mean_absolute_error 0.331963 mean_absolute_error 0.351214 mean_absolute_error 0.33597 mean_absolute_error 0.32395 mean_absolute_error 0.331169 mean_absolute_error 0.304916 mean_absolute_error 0.336753 mean_absolute_error 0.313055 mean_absolute_error 0.316226 mean_absolute_error 0.358638 mean_absolute_error 0.326128 mean_absolute_error 0.30221 mean_absolute_error 0.347376 mean_absolute_error 0.318 mean_absolute_error 0.33811 mean_absolute_error 0.313688 mean_absolute_error 0.343848 mean_absolute_error 0.325906 mean_absolute_error 0.321418 mean_absolute_error 0.337707 mean_absolute_error 0.316726 mean_absolute_error 0.334677 mean_absolute_error 0.31512 mean_absolute_error 0.313011 mean_absolute_error 0.30809 mean_absolute_error 0.344176 mean_absolute_error 0.340784 mean_absolute_error 0.326482 mean_absolute_error 0.310716 mean_absolute_error 0.345575 mean_absolute_error 0.333362 mean_absolute_error 0.338449 mean_absolute_error 0.351802 mean_absolute_error 0.334301 mean_absolute_error 0.348262 mean_absolute_error 0.325097 mean_absolute_error 0.337803 mean_absolute_error 0.322115 mean_absolute_error 0.301177 mean_absolute_error 0.3136 mean_absolute_error 0.31953 mean_absolute_error 0.334217 mean_absolute_error 0.326295 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.778283 [0.792929,0.763636] precision 0.756648 [0.794444,0.718487] precision 0.746977 [0.758794,0.73516] precision 0.749214 [0.739726,0.758794] precision 0.773787 [0.790816,0.756757] precision 0.770732 [0.781095,0.760369] precision 0.768004 [0.793651,0.742358] precision 0.77069 [0.761468,0.78] precision 0.772734 [0.774038,0.771429] precision 0.785972 [0.805128,0.766816] precision 0.729664 [0.729858,0.729469] precision 0.779025 [0.8,0.757848] precision 0.729731 [0.7343,0.725118] precision 0.802036 [0.81592,0.788018] precision 0.758494 [0.753488,0.763547] precision 0.748975 [0.756098,0.741784] precision 0.758549 [0.765854,0.751174] precision 0.731299 [0.751295,0.711111] precision 0.760147 [0.793478,0.726496] precision 0.742029 [0.752475,0.731481] precision 0.818219 [0.822115,0.814286] precision 0.808632 [0.806604,0.81068] precision 0.792625 [0.778281,0.807107] precision 0.771008 [0.785,0.756881] precision 0.757212 [0.77551,0.738739] precision 0.715981 [0.728643,0.703196] precision 0.819755 [0.855615,0.78355] precision 0.746163 [0.769634,0.722467] precision 0.759152 [0.773869,0.744292] precision 0.7536 [0.755981,0.751196] precision 0.741799 [0.767196,0.716157] precision 0.746411 [0.747619,0.745192] precision 0.78667 [0.83815,0.734694] precision 0.719844 [0.742105,0.697368] precision 0.779275 [0.757709,0.801047] precision 0.763336 [0.770732,0.755869] precision 0.729694 [0.7277,0.731707] precision 0.756401 [0.767327,0.74537] precision 0.745576 [0.777174,0.713675] precision 0.777788 [0.769585,0.78607] precision 0.736876 [0.740385,0.733333] precision 0.729766 [0.725581,0.73399] precision 0.780355 [0.792079,0.768519] precision 0.759448 [0.77665,0.742081] precision 0.772012 [0.793814,0.75] precision 0.732167 [0.737864,0.726415] precision 0.772857 [0.767442,0.778325] precision 0.747956 [0.768041,0.727679] precision 0.794385 [0.800971,0.787736] precision 0.779987 [0.775701,0.784314] precision 0.746446 [0.75,0.742857] precision 0.756052 [0.752336,0.759804] precision 0.777764 [0.805263,0.75] precision 0.770903 [0.759091,0.782828] precision 0.775155 [0.778846,0.771429] precision 0.789075 [0.813472,0.764444] precision 0.755373 [0.777202,0.733333] precision 0.776091 [0.792929,0.759091] precision 0.747035 [0.76,0.733945] precision 0.759793 [0.779487,0.73991] precision 0.747603 [0.765306,0.72973] precision 0.745283 [0.727679,0.762887] precision 0.790186 [0.805,0.775229] precision 0.770955 [0.78392,0.757991] precision 0.773542 [0.788945,0.757991] precision 0.784774 [0.780374,0.789216] precision 0.735168 [0.748744,0.721461] precision 0.763647 [0.775,0.752294] precision 0.77037 [0.774038,0.766667] precision 0.761563 [0.747748,0.77551] precision 0.777518 [0.79,0.764977] precision 0.762905 [0.772277,0.753488] precision 0.774792 [0.767442,0.782178] precision 0.739579 [0.755102,0.723982] precision 0.757956 [0.764706,0.751174] precision 0.781284 [0.824859,0.7375] precision 0.784173 [0.784689,0.783654] precision 0.797015 [0.813131,0.780822] precision 0.78184 [0.786408,0.777251] precision 0.779397 [0.777251,0.781553] precision 0.785302 [0.817204,0.753247] precision 0.793864 [0.788732,0.79902] precision 0.738857 [0.731481,0.746269] precision 0.741108 [0.746341,0.735849] precision 0.765626 [0.778894,0.752294] precision 0.773344 [0.742489,0.804348] precision 0.748634 [0.775401,0.721739] precision 0.708327 [0.695067,0.721649] precision 0.767909 [0.78,0.75576] precision 0.724668 [0.735,0.714286] precision 0.76109 [0.77665,0.745455] precision 0.744984 [0.725664,0.764398] precision 0.741386 [0.751244,0.731481] precision 0.767909 [0.78,0.75576] precision 0.7506 [0.751196,0.75] precision 0.792206 [0.808081,0.776256] precision 0.755396 [0.755981,0.754808] precision 0.756864 [0.737778,0.776042] precision 0.760299 [0.765854,0.754717] precision 0.760424 [0.768473,0.752336] predictive_accuracy 0.777512 predictive_accuracy 0.751196 predictive_accuracy 0.746411 predictive_accuracy 0.748804 predictive_accuracy 0.772727 predictive_accuracy 0.770335 predictive_accuracy 0.76555 predictive_accuracy 0.770335 predictive_accuracy 0.772727 predictive_accuracy 0.784689 predictive_accuracy 0.729665 predictive_accuracy 0.777512 predictive_accuracy 0.729665 predictive_accuracy 0.801435 predictive_accuracy 0.758373 predictive_accuracy 0.748804 predictive_accuracy 0.758373 predictive_accuracy 0.729665 predictive_accuracy 0.755981 predictive_accuracy 0.741627 predictive_accuracy 0.818182 predictive_accuracy 0.808612 predictive_accuracy 0.791866 predictive_accuracy 0.770335 predictive_accuracy 0.755981 predictive_accuracy 0.715311 predictive_accuracy 0.815789 predictive_accuracy 0.744019 predictive_accuracy 0.758373 predictive_accuracy 0.753589 predictive_accuracy 0.739234 predictive_accuracy 0.746411 predictive_accuracy 0.777512 predictive_accuracy 0.717703 predictive_accuracy 0.777512 predictive_accuracy 0.763158 predictive_accuracy 0.729665 predictive_accuracy 0.755981 predictive_accuracy 0.741627 predictive_accuracy 0.777512 predictive_accuracy 0.736842 predictive_accuracy 0.729665 predictive_accuracy 0.779904 predictive_accuracy 0.758373 predictive_accuracy 0.770335 predictive_accuracy 0.732057 predictive_accuracy 0.772727 predictive_accuracy 0.746411 predictive_accuracy 0.794258 predictive_accuracy 0.779904 predictive_accuracy 0.746411 predictive_accuracy 0.755981 predictive_accuracy 0.77512 predictive_accuracy 0.770335 predictive_accuracy 0.77512 predictive_accuracy 0.787081 predictive_accuracy 0.753589 predictive_accuracy 0.77512 predictive_accuracy 0.746411 predictive_accuracy 0.758373 predictive_accuracy 0.746411 predictive_accuracy 0.744019 predictive_accuracy 0.789474 predictive_accuracy 0.770335 predictive_accuracy 0.772727 predictive_accuracy 0.784689 predictive_accuracy 0.73445 predictive_accuracy 0.763158 predictive_accuracy 0.770335 predictive_accuracy 0.760766 predictive_accuracy 0.776978 predictive_accuracy 0.76259 predictive_accuracy 0.77458 predictive_accuracy 0.738609 predictive_accuracy 0.757794 predictive_accuracy 0.77458 predictive_accuracy 0.784173 predictive_accuracy 0.796163 predictive_accuracy 0.781775 predictive_accuracy 0.779376 predictive_accuracy 0.781775 predictive_accuracy 0.793765 predictive_accuracy 0.738609 predictive_accuracy 0.741007 predictive_accuracy 0.764988 predictive_accuracy 0.769784 predictive_accuracy 0.745803 predictive_accuracy 0.707434 predictive_accuracy 0.767386 predictive_accuracy 0.724221 predictive_accuracy 0.760192 predictive_accuracy 0.743405 predictive_accuracy 0.741007 predictive_accuracy 0.767386 predictive_accuracy 0.7506 predictive_accuracy 0.791367 predictive_accuracy 0.755396 predictive_accuracy 0.755396 predictive_accuracy 0.760192 predictive_accuracy 0.760192 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.777512 [0.751196,0.803828] recall 0.751196 [0.680952,0.822115] recall 0.746411 [0.722488,0.770335] recall 0.748804 [0.771429,0.725962] recall 0.772727 [0.741627,0.803828] recall 0.770335 [0.751196,0.789474] recall 0.76555 [0.717703,0.813397] recall 0.770335 [0.790476,0.75] recall 0.772727 [0.770335,0.77512] recall 0.784689 [0.751196,0.818182] recall 0.729665 [0.733333,0.725962] recall 0.777512 [0.742857,0.8125] recall 0.729665 [0.72381,0.735577] recall 0.801435 [0.780952,0.822115] recall 0.758373 [0.771429,0.745192] recall 0.748804 [0.738095,0.759615] recall 0.758373 [0.747619,0.769231] recall 0.729665 [0.690476,0.769231] recall 0.755981 [0.695238,0.817308] recall 0.741627 [0.72381,0.759615] recall 0.818182 [0.814286,0.822115] recall 0.808612 [0.814286,0.802885] recall 0.791866 [0.819048,0.764423] recall 0.770335 [0.747619,0.793269] recall 0.755981 [0.72381,0.788462] recall 0.715311 [0.690476,0.740385] recall 0.815789 [0.761905,0.870192] recall 0.744019 [0.7,0.788462] recall 0.758373 [0.733333,0.783654] recall 0.753589 [0.752381,0.754808] recall 0.739234 [0.690476,0.788462] recall 0.746411 [0.747619,0.745192] recall 0.777512 [0.690476,0.865385] recall 0.717703 [0.671429,0.764423] recall 0.777512 [0.819048,0.735577] recall 0.763158 [0.752381,0.774038] recall 0.729665 [0.738095,0.721154] recall 0.755981 [0.738095,0.774038] recall 0.741627 [0.680952,0.802885] recall 0.777512 [0.795238,0.759615] recall 0.736842 [0.733333,0.740385] recall 0.729665 [0.742857,0.716346] recall 0.779904 [0.761905,0.798077] recall 0.758373 [0.728571,0.788462] recall 0.770335 [0.733333,0.807692] recall 0.732057 [0.72381,0.740385] recall 0.772727 [0.785714,0.759615] recall 0.746411 [0.709524,0.783654] recall 0.794258 [0.785714,0.802885] recall 0.779904 [0.790476,0.769231] recall 0.746411 [0.742857,0.75] recall 0.755981 [0.766667,0.745192] recall 0.77512 [0.728571,0.822115] recall 0.770335 [0.795238,0.745192] recall 0.77512 [0.771429,0.778846] recall 0.787081 [0.747619,0.826923] recall 0.753589 [0.714286,0.793269] recall 0.77512 [0.747619,0.802885] recall 0.746411 [0.72381,0.769231] recall 0.758373 [0.72381,0.793269] recall 0.746411 [0.714286,0.778846] recall 0.744019 [0.779904,0.708134] recall 0.789474 [0.766667,0.8125] recall 0.770335 [0.746411,0.794258] recall 0.772727 [0.747619,0.798077] recall 0.784689 [0.795238,0.774038] recall 0.73445 [0.709524,0.759615] recall 0.763158 [0.741627,0.784689] recall 0.770335 [0.766667,0.774038] recall 0.760766 [0.790476,0.730769] recall 0.776978 [0.755981,0.798077] recall 0.76259 [0.746411,0.778846] recall 0.77458 [0.789474,0.759615] recall 0.738609 [0.708134,0.769231] recall 0.757794 [0.746411,0.769231] recall 0.77458 [0.698565,0.850962] recall 0.784173 [0.784689,0.783654] recall 0.796163 [0.770335,0.822115] recall 0.781775 [0.77512,0.788462] recall 0.779376 [0.784689,0.774038] recall 0.781775 [0.727273,0.836538] recall 0.793765 [0.803828,0.783654] recall 0.738609 [0.755981,0.721154] recall 0.741007 [0.732057,0.75] recall 0.764988 [0.741627,0.788462] recall 0.769784 [0.827751,0.711538] recall 0.745803 [0.69378,0.798077] recall 0.707434 [0.741627,0.673077] recall 0.767386 [0.746411,0.788462] recall 0.724221 [0.703349,0.745192] recall 0.760192 [0.732057,0.788462] recall 0.743405 [0.784689,0.701923] recall 0.741007 [0.722488,0.759615] recall 0.767386 [0.746411,0.788462] recall 0.7506 [0.751196,0.75] recall 0.791367 [0.76555,0.817308] recall 0.755396 [0.755981,0.754808] recall 0.755396 [0.794258,0.716346] recall 0.760192 [0.751196,0.769231] recall 0.760192 [0.746411,0.774038] relative_absolute_error 0.618795 relative_absolute_error 0.673007 relative_absolute_error 0.680719 relative_absolute_error 0.64082 relative_absolute_error 0.650794 relative_absolute_error 0.656885 relative_absolute_error 0.645009 relative_absolute_error 0.650894 relative_absolute_error 0.62933 relative_absolute_error 0.631926 relative_absolute_error 0.697615 relative_absolute_error 0.644851 relative_absolute_error 0.693846 relative_absolute_error 0.581035 relative_absolute_error 0.694084 relative_absolute_error 0.687963 relative_absolute_error 0.666578 relative_absolute_error 0.691171 relative_absolute_error 0.663998 relative_absolute_error 0.661892 relative_absolute_error 0.578628 relative_absolute_error 0.598029 relative_absolute_error 0.644237 relative_absolute_error 0.663732 relative_absolute_error 0.69228 relative_absolute_error 0.701205 relative_absolute_error 0.591423 relative_absolute_error 0.689395 relative_absolute_error 0.632251 relative_absolute_error 0.675216 relative_absolute_error 0.695015 relative_absolute_error 0.685845 relative_absolute_error 0.642898 relative_absolute_error 0.686223 relative_absolute_error 0.627575 relative_absolute_error 0.665373 relative_absolute_error 0.695369 relative_absolute_error 0.678548 relative_absolute_error 0.684724 relative_absolute_error 0.62371 relative_absolute_error 0.682604 relative_absolute_error 0.697239 relative_absolute_error 0.662749 relative_absolute_error 0.694966 relative_absolute_error 0.651936 relative_absolute_error 0.662936 relative_absolute_error 0.650698 relative_absolute_error 0.656822 relative_absolute_error 0.634802 relative_absolute_error 0.63367 relative_absolute_error 0.668918 relative_absolute_error 0.643568 relative_absolute_error 0.62863 relative_absolute_error 0.653667 relative_absolute_error 0.644718 relative_absolute_error 0.614275 relative_absolute_error 0.654678 relative_absolute_error 0.663938 relative_absolute_error 0.70244 relative_absolute_error 0.671952 relative_absolute_error 0.647911 relative_absolute_error 0.662337 relative_absolute_error 0.609842 relative_absolute_error 0.673505 relative_absolute_error 0.626122 relative_absolute_error 0.632462 relative_absolute_error 0.717288 relative_absolute_error 0.652256 relative_absolute_error 0.60443 relative_absolute_error 0.694764 relative_absolute_error 0.636006 relative_absolute_error 0.676225 relative_absolute_error 0.627382 relative_absolute_error 0.687702 relative_absolute_error 0.651818 relative_absolute_error 0.642842 relative_absolute_error 0.67542 relative_absolute_error 0.633457 relative_absolute_error 0.66936 relative_absolute_error 0.630245 relative_absolute_error 0.626028 relative_absolute_error 0.616186 relative_absolute_error 0.688358 relative_absolute_error 0.681575 relative_absolute_error 0.65297 relative_absolute_error 0.621437 relative_absolute_error 0.691156 relative_absolute_error 0.666731 relative_absolute_error 0.676905 relative_absolute_error 0.703611 relative_absolute_error 0.668608 relative_absolute_error 0.696531 relative_absolute_error 0.6502 relative_absolute_error 0.675612 relative_absolute_error 0.644235 relative_absolute_error 0.60236 relative_absolute_error 0.627205 relative_absolute_error 0.639066 relative_absolute_error 0.66844 relative_absolute_error 0.652596 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.399472 root_mean_squared_error 0.414914 root_mean_squared_error 0.422487 root_mean_squared_error 0.415691 root_mean_squared_error 0.404564 root_mean_squared_error 0.41098 root_mean_squared_error 0.41151 root_mean_squared_error 0.402173 root_mean_squared_error 0.401455 root_mean_squared_error 0.395296 root_mean_squared_error 0.433435 root_mean_squared_error 0.404718 root_mean_squared_error 0.437017 root_mean_squared_error 0.379825 root_mean_squared_error 0.425707 root_mean_squared_error 0.419586 root_mean_squared_error 0.418289 root_mean_squared_error 0.425459 root_mean_squared_error 0.417304 root_mean_squared_error 0.421081 root_mean_squared_error 0.365422 root_mean_squared_error 0.378821 root_mean_squared_error 0.398722 root_mean_squared_error 0.414747 root_mean_squared_error 0.425864 root_mean_squared_error 0.436101 root_mean_squared_error 0.371872 root_mean_squared_error 0.428712 root_mean_squared_error 0.403506 root_mean_squared_error 0.415691 root_mean_squared_error 0.429209 root_mean_squared_error 0.430771 root_mean_squared_error 0.410772 root_mean_squared_error 0.432846 root_mean_squared_error 0.403656 root_mean_squared_error 0.41212 root_mean_squared_error 0.43861 root_mean_squared_error 0.420574 root_mean_squared_error 0.425387 root_mean_squared_error 0.40001 root_mean_squared_error 0.428902 root_mean_squared_error 0.434091 root_mean_squared_error 0.408502 root_mean_squared_error 0.42448 root_mean_squared_error 0.420498 root_mean_squared_error 0.424646 root_mean_squared_error 0.402676 root_mean_squared_error 0.420194 root_mean_squared_error 0.397089 root_mean_squared_error 0.395503 root_mean_squared_error 0.415257 root_mean_squared_error 0.405945 root_mean_squared_error 0.402893 root_mean_squared_error 0.40813 root_mean_squared_error 0.418132 root_mean_squared_error 0.39744 root_mean_squared_error 0.41202 root_mean_squared_error 0.408257 root_mean_squared_error 0.430973 root_mean_squared_error 0.428563 root_mean_squared_error 0.413158 root_mean_squared_error 0.424987 root_mean_squared_error 0.386229 root_mean_squared_error 0.41355 root_mean_squared_error 0.403366 root_mean_squared_error 0.394451 root_mean_squared_error 0.435696 root_mean_squared_error 0.410603 root_mean_squared_error 0.40088 root_mean_squared_error 0.420468 root_mean_squared_error 0.40624 root_mean_squared_error 0.417553 root_mean_squared_error 0.391039 root_mean_squared_error 0.429437 root_mean_squared_error 0.413066 root_mean_squared_error 0.400461 root_mean_squared_error 0.41044 root_mean_squared_error 0.389059 root_mean_squared_error 0.409908 root_mean_squared_error 0.398728 root_mean_squared_error 0.39083 root_mean_squared_error 0.3882 root_mean_squared_error 0.421704 root_mean_squared_error 0.419109 root_mean_squared_error 0.412331 root_mean_squared_error 0.408291 root_mean_squared_error 0.426496 root_mean_squared_error 0.434962 root_mean_squared_error 0.414923 root_mean_squared_error 0.43993 root_mean_squared_error 0.423419 root_mean_squared_error 0.430248 root_mean_squared_error 0.426035 root_mean_squared_error 0.412767 root_mean_squared_error 0.416244 root_mean_squared_error 0.393974 root_mean_squared_error 0.411171 root_mean_squared_error 0.4136 root_mean_squared_error 0.411231 root_mean_squared_error 0.418216 root_relative_squared_error 0.79894 root_relative_squared_error 0.829837 root_relative_squared_error 0.844969 root_relative_squared_error 0.83139 root_relative_squared_error 0.809124 root_relative_squared_error 0.821954 root_relative_squared_error 0.823015 root_relative_squared_error 0.804354 root_relative_squared_error 0.802906 root_relative_squared_error 0.790588 root_relative_squared_error 0.866879 root_relative_squared_error 0.809445 root_relative_squared_error 0.874042 root_relative_squared_error 0.759659 root_relative_squared_error 0.851423 root_relative_squared_error 0.839181 root_relative_squared_error 0.836587 root_relative_squared_error 0.850927 root_relative_squared_error 0.834617 root_relative_squared_error 0.842171 root_relative_squared_error 0.730852 root_relative_squared_error 0.75765 root_relative_squared_error 0.797453 root_relative_squared_error 0.829503 root_relative_squared_error 0.851738 root_relative_squared_error 0.872212 root_relative_squared_error 0.743752 root_relative_squared_error 0.857433 root_relative_squared_error 0.80702 root_relative_squared_error 0.831391 root_relative_squared_error 0.858428 root_relative_squared_error 0.861552 root_relative_squared_error 0.821552 root_relative_squared_error 0.865702 root_relative_squared_error 0.807321 root_relative_squared_error 0.824248 root_relative_squared_error 0.877229 root_relative_squared_error 0.841157 root_relative_squared_error 0.850782 root_relative_squared_error 0.800029 root_relative_squared_error 0.857813 root_relative_squared_error 0.868191 root_relative_squared_error 0.817012 root_relative_squared_error 0.848968 root_relative_squared_error 0.841004 root_relative_squared_error 0.849302 root_relative_squared_error 0.80536 root_relative_squared_error 0.840396 root_relative_squared_error 0.794187 root_relative_squared_error 0.791014 root_relative_squared_error 0.830522 root_relative_squared_error 0.811898 root_relative_squared_error 0.805794 root_relative_squared_error 0.816268 root_relative_squared_error 0.836272 root_relative_squared_error 0.794889 root_relative_squared_error 0.824049 root_relative_squared_error 0.816524 root_relative_squared_error 0.861955 root_relative_squared_error 0.857135 root_relative_squared_error 0.826324 root_relative_squared_error 0.849969 root_relative_squared_error 0.772466 root_relative_squared_error 0.827095 root_relative_squared_error 0.806741 root_relative_squared_error 0.78891 root_relative_squared_error 0.871402 root_relative_squared_error 0.8212 root_relative_squared_error 0.801768 root_relative_squared_error 0.840946 root_relative_squared_error 0.812481 root_relative_squared_error 0.835107 root_relative_squared_error 0.782079 root_relative_squared_error 0.858875 root_relative_squared_error 0.826135 root_relative_squared_error 0.800924 root_relative_squared_error 0.820882 root_relative_squared_error 0.77812 root_relative_squared_error 0.819817 root_relative_squared_error 0.797457 root_relative_squared_error 0.781662 root_relative_squared_error 0.776401 root_relative_squared_error 0.843409 root_relative_squared_error 0.838219 root_relative_squared_error 0.824664 root_relative_squared_error 0.816584 root_relative_squared_error 0.852993 root_relative_squared_error 0.869925 root_relative_squared_error 0.829848 root_relative_squared_error 0.879862 root_relative_squared_error 0.846841 root_relative_squared_error 0.860498 root_relative_squared_error 0.852073 root_relative_squared_error 0.825537 root_relative_squared_error 0.832489 root_relative_squared_error 0.78795 root_relative_squared_error 0.822344 root_relative_squared_error 0.827202 root_relative_squared_error 0.822463 root_relative_squared_error 0.836434 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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