411402 2 Joaquin Vanschoren 4215 Supervised Classification predictive_accuracy 1186 weka.Dagging_DecisionStump(3) 2037 weka.classifiers.meta.Dagging -- -F 10 -S 1 -W weka.classifiers.trees.DecisionStump F 10 1186 S 1 1186 W weka.classifiers.trees.DecisionStump 1186 weka weka_3.7.12 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 1433129 description https://api.openml.org/data/download/1433129/weka_generated_run8981939608881837624.xml -1 1433132 model_readable https://api.openml.org/data/download/1433132/WekaModel_weka.classifiers.meta.Dagging6004985882754117312.model -1 1433131 model_serialized https://api.openml.org/data/download/1433131/WekaSerialized_weka.classifiers.meta.Dagging2165680269661014348.model -1 1433130 predictions https://api.openml.org/data/download/1433130/weka_generated_predictions5281086604568968566.arff area_under_roc_curve 0.717857 [0.793979,0.754965,0.780484,0.696973,0.800665,0.770483,0.566985,0.554276,0.759599] average_cost 0 f_measure 0.112329 [0.363362,0,0.446012,0.000542,0,0,0,0,0] kappa 0.141538 kb_relative_information_score 21078.390184 mean_absolute_error 0.181173 mean_prior_absolute_error 0.196178 number_of_instances 99610 [10960,9910,16140,14730,7820,9630,11700,10110,8610] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.085928 [0.224343,0,0.291054,0.095238,0,0,0,0,0] predictive_accuracy 0.259713 prior_entropy 3.132137 recall 0.259713 [0.955383,0,0.953841,0.000272,0,0,0,0,0] relative_absolute_error 0.923516 root_mean_prior_squared_error 0.313191 root_mean_squared_error 0.300388 root_relative_squared_error 0.959122 scimark_benchmark 933.091786 [561.029481566851, 1002.3172918916703, 430.5300088475373, 906.4453790826606, 1765.136766288487] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 20 usercpu_time_millis_training 40 area_under_roc_curve 0.709669 [0.790179,0.755157,0.778314,0.689448,0.790988,0.770671,0.589753,0.492075,0.739974] area_under_roc_curve 0.722986 [0.793953,0.756963,0.780883,0.73046,0.794481,0.772354,0.596576,0.527681,0.754927] area_under_roc_curve 0.723542 [0.795285,0.744691,0.753852,0.71509,0.814563,0.780574,0.59157,0.565489,0.785567] area_under_roc_curve 0.714693 [0.799539,0.741597,0.763647,0.677407,0.796664,0.747509,0.600864,0.548861,0.788707] area_under_roc_curve 0.726955 [0.805898,0.750011,0.792405,0.722973,0.805866,0.782915,0.55827,0.570987,0.761468] area_under_roc_curve 0.709192 [0.78599,0.73964,0.748863,0.709117,0.796748,0.757018,0.553744,0.557621,0.757901] area_under_roc_curve 0.716275 [0.796373,0.750877,0.767341,0.678936,0.812712,0.772199,0.58666,0.559755,0.753465] area_under_roc_curve 0.712692 [0.795034,0.73545,0.772634,0.691131,0.808655,0.753821,0.572431,0.546654,0.758393] area_under_roc_curve 0.721404 [0.80846,0.756449,0.773457,0.713646,0.80878,0.785198,0.556954,0.54903,0.761315] area_under_roc_curve 0.736184 [0.796605,0.762947,0.785233,0.707163,0.802226,0.776556,0.611786,0.626873,0.777416] area_under_roc_curve 0.707632 [0.766019,0.776725,0.755041,0.685309,0.791712,0.766916,0.549371,0.549831,0.760976] area_under_roc_curve 0.7184 [0.788411,0.758893,0.779595,0.719947,0.806896,0.782778,0.555512,0.517689,0.769518] area_under_roc_curve 0.712254 [0.77324,0.755098,0.769636,0.699719,0.791394,0.773003,0.517123,0.589612,0.76817] area_under_roc_curve 0.721884 [0.805317,0.732751,0.775709,0.707336,0.806475,0.785561,0.548628,0.593279,0.765857] area_under_roc_curve 0.710025 [0.78111,0.74359,0.775687,0.698539,0.791066,0.787396,0.526127,0.567725,0.734737] area_under_roc_curve 0.728375 [0.796609,0.767193,0.805512,0.722282,0.793678,0.783252,0.549828,0.583379,0.754677] area_under_roc_curve 0.7147 [0.781482,0.723056,0.76389,0.712316,0.806945,0.771298,0.570389,0.553626,0.770457] area_under_roc_curve 0.7201 [0.821845,0.749017,0.776182,0.719567,0.793866,0.788096,0.570856,0.526135,0.740627] area_under_roc_curve 0.72448 [0.807234,0.739175,0.789062,0.722202,0.803632,0.795347,0.593429,0.507777,0.765685] area_under_roc_curve 0.731207 [0.798051,0.761071,0.771646,0.700135,0.809515,0.785336,0.602788,0.612927,0.770866] area_under_roc_curve 0.714617 [0.786112,0.789748,0.786406,0.657417,0.792931,0.768455,0.555959,0.572299,0.752588] area_under_roc_curve 0.712112 [0.79214,0.770965,0.766639,0.686522,0.794648,0.775972,0.563193,0.540185,0.741394] area_under_roc_curve 0.721361 [0.795162,0.796313,0.803731,0.69566,0.796394,0.76526,0.610003,0.467697,0.761794] area_under_roc_curve 0.732978 [0.805085,0.753834,0.79438,0.730155,0.808291,0.784699,0.598743,0.562426,0.763219] area_under_roc_curve 0.722372 [0.798738,0.740825,0.77575,0.706101,0.794516,0.796453,0.584405,0.548354,0.77546] area_under_roc_curve 0.720159 [0.791258,0.745104,0.78876,0.706814,0.799152,0.793513,0.561511,0.555092,0.750134] area_under_roc_curve 0.716208 [0.79047,0.754587,0.755399,0.689042,0.812615,0.77816,0.589043,0.553006,0.758919] area_under_roc_curve 0.72496 [0.811061,0.75614,0.792907,0.713718,0.813265,0.773767,0.557072,0.544062,0.777364] area_under_roc_curve 0.717346 [0.785132,0.788577,0.788255,0.662344,0.785714,0.774456,0.569475,0.559616,0.769767] area_under_roc_curve 0.712989 [0.799046,0.765684,0.778755,0.718973,0.790047,0.772402,0.537018,0.507617,0.752524] area_under_roc_curve 0.71165 [0.806572,0.747463,0.780446,0.72108,0.781793,0.746863,0.535647,0.515526,0.770151] area_under_roc_curve 0.716696 [0.794069,0.750037,0.772889,0.6799,0.796841,0.769352,0.575085,0.571519,0.768074] area_under_roc_curve 0.728723 [0.793182,0.785086,0.80194,0.707371,0.794167,0.779213,0.553912,0.59407,0.760216] area_under_roc_curve 0.711848 [0.785404,0.774326,0.776152,0.678666,0.79902,0.772598,0.549396,0.542768,0.754385] area_under_roc_curve 0.726878 [0.79726,0.775762,0.784868,0.685276,0.799467,0.758773,0.600162,0.588539,0.775875] area_under_roc_curve 0.716459 [0.806315,0.755622,0.760494,0.693565,0.795881,0.774167,0.581347,0.55096,0.753942] area_under_roc_curve 0.71076 [0.796152,0.739282,0.747733,0.676644,0.778218,0.770596,0.589428,0.571708,0.758593] area_under_roc_curve 0.723851 [0.79999,0.765678,0.797932,0.691386,0.806648,0.779444,0.544826,0.595918,0.750805] area_under_roc_curve 0.717487 [0.775375,0.731146,0.773456,0.684134,0.794097,0.778626,0.5932,0.578434,0.773901] area_under_roc_curve 0.725675 [0.805628,0.760779,0.778344,0.703653,0.811093,0.791782,0.600999,0.525007,0.775447] area_under_roc_curve 0.716706 [0.767253,0.723326,0.780927,0.692195,0.790382,0.772413,0.559596,0.612916,0.771984] area_under_roc_curve 0.709253 [0.794613,0.734801,0.775687,0.675116,0.7978,0.760069,0.562357,0.560374,0.741273] area_under_roc_curve 0.735196 [0.797743,0.774017,0.802644,0.728204,0.804159,0.778505,0.579519,0.595935,0.760139] area_under_roc_curve 0.712594 [0.775616,0.761551,0.790996,0.670905,0.801736,0.781527,0.569932,0.535395,0.743707] area_under_roc_curve 0.71569 [0.798933,0.778082,0.777678,0.697692,0.792176,0.752882,0.599691,0.512302,0.737184] area_under_roc_curve 0.721573 [0.791771,0.772705,0.77475,0.694002,0.803922,0.757296,0.545589,0.611206,0.774559] area_under_roc_curve 0.713772 [0.802832,0.759817,0.765861,0.70298,0.809333,0.765822,0.562318,0.531639,0.742352] area_under_roc_curve 0.723723 [0.792212,0.761038,0.793867,0.708268,0.815945,0.76923,0.569446,0.550357,0.766241] area_under_roc_curve 0.713809 [0.786733,0.741568,0.773139,0.715612,0.805367,0.75342,0.555065,0.550041,0.755003] area_under_roc_curve 0.708936 [0.776688,0.736293,0.774635,0.699006,0.801331,0.745301,0.557291,0.531207,0.774981] area_under_roc_curve 0.730224 [0.807034,0.757694,0.778029,0.71935,0.81501,0.773328,0.57809,0.596687,0.767678] area_under_roc_curve 0.71374 [0.795224,0.747317,0.77096,0.701421,0.803031,0.77125,0.540708,0.565485,0.748096] area_under_roc_curve 0.719095 [0.80412,0.741552,0.778294,0.680116,0.803475,0.761333,0.600741,0.560064,0.763909] area_under_roc_curve 0.714797 [0.805443,0.7527,0.779942,0.722903,0.802574,0.75346,0.56629,0.496084,0.755092] area_under_roc_curve 0.733261 [0.801693,0.73185,0.781808,0.698076,0.796687,0.802274,0.66549,0.564755,0.771576] area_under_roc_curve 0.707358 [0.777616,0.729868,0.760022,0.667448,0.785284,0.774687,0.594051,0.55606,0.746429] area_under_roc_curve 0.717506 [0.808629,0.727903,0.770713,0.705195,0.801436,0.757668,0.549619,0.584977,0.772898] area_under_roc_curve 0.728725 [0.810132,0.751016,0.78882,0.69286,0.81022,0.783213,0.549935,0.628586,0.773901] area_under_roc_curve 0.713318 [0.795111,0.726355,0.764124,0.680144,0.789355,0.771201,0.610742,0.543835,0.759628] area_under_roc_curve 0.710218 [0.790535,0.747334,0.777826,0.697716,0.806533,0.767691,0.54873,0.532336,0.735989] area_under_roc_curve 0.718436 [0.805084,0.726304,0.777071,0.691281,0.80985,0.768194,0.593118,0.562382,0.749821] area_under_roc_curve 0.711304 [0.793961,0.764777,0.781136,0.700388,0.800004,0.753713,0.523638,0.539831,0.761455] area_under_roc_curve 0.714705 [0.810292,0.742205,0.774289,0.680345,0.802602,0.755307,0.59374,0.537331,0.756843] area_under_roc_curve 0.699653 [0.784137,0.735735,0.755927,0.679543,0.786723,0.735474,0.563018,0.534134,0.739982] area_under_roc_curve 0.702586 [0.785821,0.748758,0.760521,0.679948,0.796841,0.743617,0.538831,0.555219,0.737655] area_under_roc_curve 0.713388 [0.787734,0.752216,0.795497,0.715972,0.798314,0.782198,0.546236,0.491454,0.748786] area_under_roc_curve 0.723228 [0.796732,0.743984,0.779636,0.726821,0.809208,0.798218,0.561735,0.562188,0.740059] area_under_roc_curve 0.718514 [0.767276,0.766607,0.780017,0.69046,0.794153,0.762204,0.63331,0.521965,0.762318] area_under_roc_curve 0.714176 [0.782506,0.774523,0.778525,0.700592,0.787037,0.760804,0.537523,0.595193,0.723377] area_under_roc_curve 0.724991 [0.819116,0.730538,0.760806,0.706762,0.813048,0.77749,0.577492,0.611721,0.756932] area_under_roc_curve 0.723099 [0.789739,0.757458,0.778186,0.704935,0.81427,0.775879,0.569582,0.573511,0.768541] area_under_roc_curve 0.72231 [0.795952,0.741411,0.774887,0.70973,0.801883,0.778253,0.597163,0.549992,0.76757] area_under_roc_curve 0.718586 [0.777241,0.708157,0.757916,0.699149,0.810893,0.805874,0.607829,0.572631,0.755929] area_under_roc_curve 0.721467 [0.786677,0.774833,0.79536,0.665321,0.789223,0.776522,0.60641,0.557929,0.759091] area_under_roc_curve 0.709855 [0.779723,0.747604,0.772039,0.690608,0.813041,0.745984,0.564282,0.532455,0.768445] area_under_roc_curve 0.705856 [0.781399,0.71506,0.768378,0.713609,0.78608,0.753733,0.565615,0.513829,0.760829] area_under_roc_curve 0.714068 [0.785266,0.734964,0.797632,0.702671,0.799117,0.773009,0.533862,0.546396,0.760165] area_under_roc_curve 0.722978 [0.787382,0.768516,0.765991,0.744557,0.796834,0.778603,0.528111,0.597129,0.754198] area_under_roc_curve 0.733435 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average_cost 0 average_cost 0 average_cost 0 f_measure 0.11159 [0.367491,0,0.442225,0,0,0,0,0,0] f_measure 0.112805 [0.370242,0,0.442836,0,0,0,0,0,0] f_measure 0.109836 [0.364937,0,0.428169,0,0,0,0,0,0] f_measure 0.110664 [0.361062,0,0.438122,0,0,0,0,0,0] f_measure 0.112805 [0.362393,0,0.450952,0,0,0,0,0,0] f_measure 0.109391 [0.362694,0,0.429608,0,0,0,0,0,0] f_measure 0.111012 [0.370107,0,0.436879,0,0,0,0,0,0] f_measure 0.113523 [0.366149,0,0.45283,0,0,0,0,0,0] f_measure 0.113375 [0.368421,0,0.449857,0,0,0,0,0,0] f_measure 0.111594 [0.364912,0,0.441261,0,0,0,0,0,0] f_measure 0.10796 [0.343333,0,0.435435,0,0,0,0,0,0] f_measure 0.110411 [0.355009,0,0.437768,0,0,0,0,0,0] f_measure 0.110386 [0.353141,0,0.438881,0,0,0,0,0,0] f_measure 0.113664 [0.371278,0,0.451799,0,0,0,0,0,0] f_measure 0.113025 [0.366843,0,0.448571,0,0,0,0,0,0] f_measure 0.114971 [0.365482,0,0.461538,0,0,0,0,0,0] f_measure 0.108668 [0.355476,0,0.431594,0,0,0,0,0,0] f_measure 0.111792 [0.359322,0,0.446086,0,0,0,0,0,0] f_measure 0.114089 [0.370242,0,0.45283,0,0,0,0,0,0] f_measure 0.11122 [0.358621,0,0.442504,0,0,0,0,0,0] f_measure 0.113499 [0.362393,0,0.454545,0,0,0,0,0,0] f_measure 0.112293 [0.362694,0,0.444122,0,0,0,0,0,0] f_measure 0.113392 [0.368421,0,0.446991,0,0,0,0,0,0] f_measure 0.111484 [0.358362,0,0.447059,0,0,0,0,0,0] f_measure 0.114634 [0.375887,0,0.452347,0,0,0,0,0,0] f_measure 0.113274 [0.369176,0,0.448519,0,0,0,0,0,0] f_measure 0.110556 [0.362676,0,0.438395,0,0,0,0,0,0] f_measure 0.113067 [0.369983,0,0.446686,0,0,0,0,0,0] f_measure 0.114468 [0.360927,0,0.461538,0,0,0,0,0,0] f_measure 0.113126 [0.36833,0,0.445415,0,0,0,0,0,0] f_measure 0.11633 [0.373928,0,0.461314,0,0,0,0,0,0] f_measure 0.113777 [0.375652,0,0.444444,0,0,0,0,0,0] f_measure 0.115053 [0.378284,0,0.450502,0,0,0,0,0,0] f_measure 0.112616 [0.367776,0,0.445402,0,0,0,0,0,0] f_measure 0.113963 [0.36425,0,0.453333,0,0,0,0,0,0] f_measure 0.112865 [0.376098,0,0.441261,0,0,0,0,0,0] f_measure 0.109925 [0.368966,0,0.427948,0,0,0,0,0,0] f_measure 0.111886 [0.359664,0,0.446429,0,0,0,0,0,0] f_measure 0.110114 [0.352113,0,0.440629,0,0,0,0,0,0] f_measure 0.114233 [0.378871,0,0.445063,0,0,0,0,0,0] f_measure 0.111738 [0.350515,0,0.44898,0,0,0,0,0,0] f_measure 0.112966 [0.365188,0,0.449339,0,0,0,0,0,0] f_measure 0.112139 [0.356073,0,0.45045,0,0,0,0,0,0] f_measure 0.113013 [0.349745,0,0.460177,0,0,0,0,0,0] f_measure 0.111706 [0.36833,0,0.436681,0,0,0,0,0,0] f_measure 0.112079 [0.365248,0,0.443812,0,0,0,0,0,0] f_measure 0.113216 [0.361111,0,0.450867,0,0,0,0,0,0] f_measure 0.112412 [0.358885,0,0.450216,0,0,0,0,0,0] f_measure 0.109398 [0.352332,0,0.436047,0,0,0,0,0,0] f_measure 0.111835 [0.348877,0,0.453488,0,0,0,0,0,0] f_measure 0.112195 [0.38961,0,0.42524,0,0,0,0,0,0] f_measure 0.113147 [0.366492,0,0.449568,0,0,0,0,0,0] f_measure 0.1208 [0.373239,0,0.459499,0.035928,0,0,0,0,0] f_measure 0.113244 [0.360877,0,0.454006,0,0,0,0,0,0] f_measure 0.113272 [0.365812,0,0.448023,0,0,0,0,0,0] f_measure 0.111189 [0.364602,0,0.438746,0,0,0,0,0,0] f_measure 0.113692 [0.361204,0,0.453731,0,0,0,0,0,0] f_measure 0.112827 [0.365554,0,0.450502,0,0,0,0,0,0] f_measure 0.112132 [0.366197,0,0.443491,0,0,0,0,0,0] f_measure 0.114471 [0.363946,0,0.459499,0,0,0,0,0,0] f_measure 0.113793 [0.369718,0,0.448571,0,0,0,0,0,0] f_measure 0.111796 [0.351946,0,0.453333,0,0,0,0,0,0] f_measure 0.112797 [0.378378,0,0.441632,0,0,0,0,0,0] f_measure 0.111093 [0.363014,0,0.439239,0,0,0,0,0,0] f_measure 0.112018 [0.361111,0,0.445731,0,0,0,0,0,0] f_measure 0.113513 [0.365897,0,0.451705,0,0,0,0,0,0] f_measure 0.113426 [0.367776,0,0.447633,0,0,0,0,0,0] f_measure 0.110225 [0.337838,0,0.45037,0,0,0,0,0,0] f_measure 0.110534 [0.349835,0,0.444781,0,0,0,0,0,0] f_measure 0.11167 [0.379747,0,0.431373,0,0,0,0,0,0] f_measure 0.111172 [0.358003,0,0.443149,0,0,0,0,0,0] f_measure 0.110796 [0.352542,0,0.446746,0,0,0,0,0,0] f_measure 0.110351 [0.353765,0,0.443165,0,0,0,0,0,0] f_measure 0.112972 [0.365554,0,0.446352,0,0,0,0,0,0] f_measure 0.110719 [0.353357,0,0.445714,0,0,0,0,0,0] f_measure 0.11193 [0.354949,0,0.449339,0,0,0,0,0,0] f_measure 0.114638 [0.355932,0,0.463127,0,0,0,0,0,0] f_measure 0.111766 [0.359511,0,0.434524,0.011834,0,0,0,0,0] f_measure 0.1127 [0.359589,0,0.450952,0,0,0,0,0,0] f_measure 0.110737 [0.357388,0,0.440876,0,0,0,0,0,0] f_measure 0.111482 [0.37702,0,0.434415,0,0,0,0,0,0] f_measure 0.111683 [0.370107,0,0.440341,0,0,0,0,0,0] f_measure 0.111018 [0.366492,0,0.438672,0,0,0,0,0,0] f_measure 0.113635 [0.363951,0,0.45152,0,0,0,0,0,0] f_measure 0.110238 [0.353741,0,0.442478,0,0,0,0,0,0] f_measure 0.112262 [0.379249,0,0.435028,0,0,0,0,0,0] f_measure 0.11212 [0.368421,0,0.441894,0,0,0,0,0,0] f_measure 0.11381 [0.36833,0,0.451895,0,0,0,0,0,0] f_measure 0.111452 [0.37276,0,0.434415,0,0,0,0,0,0] f_measure 0.1119 [0.357388,0,0.450292,0,0,0,0,0,0] f_measure 0.113243 [0.362393,0,0.455213,0,0,0,0,0,0] f_measure 0.113289 [0.355786,0,0.459971,0,0,0,0,0,0] f_measure 0.113086 [0.364888,0,0.452555,0,0,0,0,0,0] f_measure 0.110076 [0.363951,0,0.431884,0,0,0,0,0,0] f_measure 0.110636 [0.351119,0,0.446715,0,0,0,0,0,0] f_measure 0.111111 [0.356643,0,0.443165,0,0,0,0,0,0] f_measure 0.11336 [0.356775,0,0.459736,0,0,0,0,0,0] f_measure 0.113656 [0.374558,0,0.444444,0,0,0,0,0,0] f_measure 0.115198 [0.359932,0,0.466077,0,0,0,0,0,0] f_measure 0.111692 [0.362694,0,0.445415,0,0,0,0,0,0] kappa 0.141696 kappa 0.142434 kappa 0.134455 kappa 0.137611 kappa 0.14332 kappa 0.134875 kappa 0.140325 kappa 0.14534 kappa 0.144858 kappa 0.140204 kappa 0.130874 kappa 0.135162 kappa 0.135049 kappa 0.146802 kappa 0.143756 kappa 0.14847 kappa 0.133261 kappa 0.140276 kappa 0.146646 kappa 0.138597 kappa 0.144675 kappa 0.140347 kappa 0.143373 kappa 0.140601 kappa 0.148264 kappa 0.144462 kappa 0.138497 kappa 0.144063 kappa 0.146804 kappa 0.142781 kappa 0.151037 kappa 0.144798 kappa 0.148086 kappa 0.142796 kappa 0.14457 kappa 0.143859 kappa 0.136272 kappa 0.140532 kappa 0.135653 kappa 0.145778 kappa 0.138175 kappa 0.143562 kappa 0.140839 kappa 0.142552 kappa 0.139287 kappa 0.141273 kappa 0.14252 kappa 0.141785 kappa 0.133892 kappa 0.139712 kappa 0.140586 kappa 0.144063 kappa 0.148746 kappa 0.143919 kappa 0.142989 kappa 0.138994 kappa 0.143666 kappa 0.14437 kappa 0.141478 kappa 0.147155 kappa 0.144434 kappa 0.140862 kappa 0.144806 kappa 0.138805 kappa 0.140712 kappa 0.14468 kappa 0.143425 kappa 0.134584 kappa 0.136446 kappa 0.140709 kappa 0.138651 kappa 0.138485 kappa 0.13749 kappa 0.142155 kappa 0.138392 kappa 0.14008 kappa 0.145578 kappa 0.131571 kappa 0.142301 kappa 0.137538 kappa 0.141415 kappa 0.141676 kappa 0.139923 kappa 0.143737 kappa 0.137217 kappa 0.142137 kappa 0.14158 kappa 0.145634 kappa 0.139752 kappa 0.141556 kappa 0.145201 kappa 0.14489 kappa 0.144993 kappa 0.136108 kappa 0.138014 kappa 0.13817 kappa 0.145097 kappa 0.14433 kappa 0.148384 kappa 0.141399 kb_relative_information_score 208.1538 kb_relative_information_score 212.573251 kb_relative_information_score 210.531226 kb_relative_information_score 209.88284 kb_relative_information_score 209.73051 kb_relative_information_score 210.819287 kb_relative_information_score 209.88574 kb_relative_information_score 212.945683 kb_relative_information_score 213.109973 kb_relative_information_score 209.928486 kb_relative_information_score 209.962704 kb_relative_information_score 210.699062 kb_relative_information_score 204.617284 kb_relative_information_score 215.673698 kb_relative_information_score 214.74866 kb_relative_information_score 210.637766 kb_relative_information_score 212.577007 kb_relative_information_score 210.741925 kb_relative_information_score 213.656363 kb_relative_information_score 210.696685 kb_relative_information_score 210.248846 kb_relative_information_score 212.569337 kb_relative_information_score 209.844911 kb_relative_information_score 211.403204 kb_relative_information_score 216.875823 kb_relative_information_score 212.854601 kb_relative_information_score 213.365745 kb_relative_information_score 211.357728 kb_relative_information_score 208.484789 kb_relative_information_score 211.798148 kb_relative_information_score 213.917085 kb_relative_information_score 211.564597 kb_relative_information_score 213.984101 kb_relative_information_score 212.830676 kb_relative_information_score 210.479076 kb_relative_information_score 215.116028 kb_relative_information_score 210.235605 kb_relative_information_score 208.190976 kb_relative_information_score 208.398036 kb_relative_information_score 215.423326 kb_relative_information_score 209.104605 kb_relative_information_score 211.14683 kb_relative_information_score 204.764674 kb_relative_information_score 208.019247 kb_relative_information_score 208.259789 kb_relative_information_score 211.628167 kb_relative_information_score 211.574076 kb_relative_information_score 209.341259 kb_relative_information_score 206.123483 kb_relative_information_score 211.300878 kb_relative_information_score 208.769548 kb_relative_information_score 210.895127 kb_relative_information_score 210.642397 kb_relative_information_score 210.092455 kb_relative_information_score 213.544192 kb_relative_information_score 209.444321 kb_relative_information_score 210.708114 kb_relative_information_score 210.617036 kb_relative_information_score 211.334524 kb_relative_information_score 211.861599 kb_relative_information_score 210.693439 kb_relative_information_score 211.463034 kb_relative_information_score 210.397052 kb_relative_information_score 206.362216 kb_relative_information_score 209.574062 kb_relative_information_score 212.958535 kb_relative_information_score 210.436229 kb_relative_information_score 205.357081 kb_relative_information_score 207.068305 kb_relative_information_score 213.165162 kb_relative_information_score 210.220121 kb_relative_information_score 209.684428 kb_relative_information_score 212.837584 kb_relative_information_score 208.512645 kb_relative_information_score 210.886449 kb_relative_information_score 210.390941 kb_relative_information_score 211.49147 kb_relative_information_score 205.241475 kb_relative_information_score 214.775375 kb_relative_information_score 210.284576 kb_relative_information_score 212.910507 kb_relative_information_score 210.808252 kb_relative_information_score 209.837453 kb_relative_information_score 210.914034 kb_relative_information_score 210.82572 kb_relative_information_score 212.977921 kb_relative_information_score 210.459127 kb_relative_information_score 213.814876 kb_relative_information_score 209.485525 kb_relative_information_score 207.802903 kb_relative_information_score 211.13069 kb_relative_information_score 211.000459 kb_relative_information_score 213.763936 kb_relative_information_score 213.529449 kb_relative_information_score 209.208102 kb_relative_information_score 209.974049 kb_relative_information_score 210.442913 kb_relative_information_score 211.415453 kb_relative_information_score 210.915061 kb_relative_information_score 205.686668 mean_absolute_error 0.1814 mean_absolute_error 0.180966 mean_absolute_error 0.180939 mean_absolute_error 0.181391 mean_absolute_error 0.180963 mean_absolute_error 0.181352 mean_absolute_error 0.181207 mean_absolute_error 0.181137 mean_absolute_error 0.180651 mean_absolute_error 0.181298 mean_absolute_error 0.181557 mean_absolute_error 0.18115 mean_absolute_error 0.181661 mean_absolute_error 0.180656 mean_absolute_error 0.180955 mean_absolute_error 0.180972 mean_absolute_error 0.181141 mean_absolute_error 0.181152 mean_absolute_error 0.1806 mean_absolute_error 0.181152 mean_absolute_error 0.181308 mean_absolute_error 0.18116 mean_absolute_error 0.181276 mean_absolute_error 0.180857 mean_absolute_error 0.180424 mean_absolute_error 0.180853 mean_absolute_error 0.181056 mean_absolute_error 0.180926 mean_absolute_error 0.181295 mean_absolute_error 0.181014 mean_absolute_error 0.180733 mean_absolute_error 0.180979 mean_absolute_error 0.180831 mean_absolute_error 0.180909 mean_absolute_error 0.181211 mean_absolute_error 0.180863 mean_absolute_error 0.181515 mean_absolute_error 0.181477 mean_absolute_error 0.181498 mean_absolute_error 0.180444 mean_absolute_error 0.181364 mean_absolute_error 0.181491 mean_absolute_error 0.181596 mean_absolute_error 0.181518 mean_absolute_error 0.181539 mean_absolute_error 0.181198 mean_absolute_error 0.181051 mean_absolute_error 0.1812 mean_absolute_error 0.181727 mean_absolute_error 0.181296 mean_absolute_error 0.181064 mean_absolute_error 0.181176 mean_absolute_error 0.181193 mean_absolute_error 0.181156 mean_absolute_error 0.180745 mean_absolute_error 0.181494 mean_absolute_error 0.181216 mean_absolute_error 0.180985 mean_absolute_error 0.181178 mean_absolute_error 0.181185 mean_absolute_error 0.181222 mean_absolute_error 0.181274 mean_absolute_error 0.181249 mean_absolute_error 0.181834 mean_absolute_error 0.181524 mean_absolute_error 0.180897 mean_absolute_error 0.181028 mean_absolute_error 0.181755 mean_absolute_error 0.181917 mean_absolute_error 0.180885 mean_absolute_error 0.181265 mean_absolute_error 0.18131 mean_absolute_error 0.181093 mean_absolute_error 0.181265 mean_absolute_error 0.181339 mean_absolute_error 0.18137 mean_absolute_error 0.181162 mean_absolute_error 0.181467 mean_absolute_error 0.180763 mean_absolute_error 0.18113 mean_absolute_error 0.18085 mean_absolute_error 0.181063 mean_absolute_error 0.181263 mean_absolute_error 0.181068 mean_absolute_error 0.181409 mean_absolute_error 0.180851 mean_absolute_error 0.181125 mean_absolute_error 0.180852 mean_absolute_error 0.181268 mean_absolute_error 0.18146 mean_absolute_error 0.181066 mean_absolute_error 0.181184 mean_absolute_error 0.180861 mean_absolute_error 0.18109 mean_absolute_error 0.181571 mean_absolute_error 0.181605 mean_absolute_error 0.181173 mean_absolute_error 0.180922 mean_absolute_error 0.181002 mean_absolute_error 0.181601 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196174 mean_prior_absolute_error 0.196174 mean_prior_absolute_error 0.196165 mean_prior_absolute_error 0.196182 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196195 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196166 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196191 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 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mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19619 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196192 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196192 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.19618 number_of_instances 997 [109,99,161,148,79,96,117,102,86] number_of_instances 997 [110,99,162,147,78,96,117,102,86] number_of_instances 997 [110,99,162,147,78,96,117,102,86] number_of_instances 997 [109,99,162,148,78,96,117,102,86] number_of_instances 997 [110,99,161,148,79,96,117,101,86] number_of_instances 997 [110,99,161,148,78,96,117,101,87] number_of_instances 997 [109,99,161,147,79,97,117,102,86] number_of_instances 997 [110,99,161,148,78,96,117,101,87] number_of_instances 997 [109,100,162,148,78,96,117,101,86] number_of_instances 997 [109,99,162,147,79,96,117,101,87] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,100,161,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [109,100,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [109,100,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,101,87] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [109,99,162,147,78,96,117,101,87] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,102,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,147,78,97,117,102,86] number_of_instances 996 [109,99,162,147,78,96,117,102,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [109,99,162,147,78,96,117,101,87] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,78,97,117,101,87] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,101,87] number_of_instances 996 [109,99,162,147,78,96,117,102,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,96,117,102,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [109,100,161,147,78,96,117,101,87] number_of_instances 996 [109,100,161,147,78,96,117,101,87] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,79,97,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,79,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] precision 0.071232 [0.227571,0,0.287037,0,0,0,0,0,0] precision 0.072221 [0.228632,0,0.289225,0,0,0,0,0,0] precision 0.070134 [0.227171,0,0.277372,0,0,0,0,0,0] precision 0.070708 [0.223684,0,0.284658,0,0,0,0,0,0] precision 0.072262 [0.223158,0,0.295019,0,0,0,0,0,0] precision 0.069966 [0.223881,0,0.280303,0,0,0,0,0,0] precision 0.070814 [0.229581,0,0.283088,0,0,0,0,0,0] precision 0.072648 [0.226013,0,0.295455,0,0,0,0,0,0] precision 0.072495 [0.227766,0,0.29291,0,0,0,0,0,0] precision 0.071349 [0.225597,0,0.287313,0,0,0,0,0,0] precision 0.069371 [0.209776,0,0.287129,0,0,0,0,0,0] precision 0.070644 [0.220044,0,0.284916,0,0,0,0,0,0] precision 0.070855 [0.217119,0,0.288201,0,0,0,0,0,0] precision 0.072634 [0.229437,0,0.294007,0,0,0,0,0,0] precision 0.072218 [0.227571,0,0.29128,0,0,0,0,0,0] precision 0.073763 [0.224532,0,0.302913,0,0,0,0,0,0] precision 0.069315 [0.220982,0,0.279197,0,0,0,0,0,0] precision 0.071693 [0.220833,0,0.292636,0,0,0,0,0,0] precision 0.07301 [0.228632,0,0.295455,0,0,0,0,0,0] precision 0.071256 [0.220807,0,0.289524,0,0,0,0,0,0] precision 0.072737 [0.223158,0,0.297505,0,0,0,0,0,0] precision 0.071947 [0.223881,0,0.290323,0,0,0,0,0,0] precision 0.072548 [0.228261,0,0.291045,0,0,0,0,0,0] precision 0.071432 [0.220126,0,0.292871,0,0,0,0,0,0] precision 0.073206 [0.23348,0,0.293358,0,0,0,0,0,0] precision 0.072293 [0.229911,0,0.290146,0,0,0,0,0,0] precision 0.070614 [0.224401,0,0.284916,0,0,0,0,0,0] precision 0.072293 [0.228942,0,0.290807,0,0,0,0,0,0] precision 0.073636 [0.220648,0,0.304781,0,0,0,0,0,0] precision 0.072491 [0.227176,0,0.291429,0,0,0,0,0,0] precision 0.074588 [0.230444,0,0.302103,0,0,0,0,0,0] precision 0.072823 [0.232258,0,0.290019,0,0,0,0,0,0] precision 0.073605 [0.234273,0,0.293458,0,0,0,0,0,0] precision 0.071987 [0.227766,0,0.28972,0,0,0,0,0,0] precision 0.073205 [0.223602,0,0.298246,0,0,0,0,0,0] precision 0.072102 [0.233115,0,0.286778,0,0,0,0,0,0] precision 0.070318 [0.22766,0,0.279468,0,0,0,0,0,0] precision 0.071816 [0.220619,0,0.293542,0,0,0,0,0,0] precision 0.070385 [0.218341,0,0.286245,0,0,0,0,0,0] precision 0.072886 [0.236902,0,0.287253,0,0,0,0,0,0] precision 0.071669 [0.216102,0,0.293893,0,0,0,0,0,0] precision 0.072388 [0.22479,0,0.294231,0,0,0,0,0,0] precision 0.072082 [0.217923,0,0.29703,0,0,0,0,0,0] precision 0.072524 [0.215031,0,0.301741,0,0,0,0,0,0] precision 0.071561 [0.227176,0,0.285714,0,0,0,0,0,0] precision 0.071582 [0.226872,0,0.287823,0,0,0,0,0,0] precision 0.072522 [0.223176,0,0.29434,0,0,0,0,0,0] precision 0.071916 [0.221983,0,0.293233,0,0,0,0,0,0] precision 0.070029 [0.217484,0,0.28463,0,0,0,0,0,0] precision 0.071634 [0.215352,0,0.296015,0,0,0,0,0,0] precision 0.071495 [0.244755,0,0.273369,0,0,0,0,0,0] precision 0.072357 [0.226782,0,0.292683,0,0,0,0,0,0] precision 0.096381 [0.231441,0,0.301158,0.15,0,0,0,0,0] precision 0.072677 [0.221532,0,0.298246,0,0,0,0,0,0] precision 0.072643 [0.225263,0,0.293666,0,0,0,0,0,0] precision 0.071015 [0.226374,0,0.284658,0,0,0,0,0,0] precision 0.073109 [0.221311,0,0.299213,0,0,0,0,0,0] precision 0.07209 [0.226087,0,0.29291,0,0,0,0,0,0] precision 0.07165 [0.227074,0,0.288104,0,0,0,0,0,0] precision 0.073404 [0.223849,0,0.301158,0,0,0,0,0,0] precision 0.072785 [0.229258,0,0.291822,0,0,0,0,0,0] precision 0.07173 [0.215768,0,0.297665,0,0,0,0,0,0] precision 0.071907 [0.235426,0,0.285455,0,0,0,0,0,0] precision 0.071148 [0.223629,0,0.287356,0,0,0,0,0,0] precision 0.071722 [0.222698,0,0.291115,0,0,0,0,0,0] precision 0.072543 [0.226872,0,0.293358,0,0,0,0,0,0] precision 0.072582 [0.227766,0,0.291589,0,0,0,0,0,0] precision 0.070851 [0.207039,0,0.296296,0,0,0,0,0,0] precision 0.071127 [0.21371,0,0.294,0,0,0,0,0,0] precision 0.071192 [0.23702,0,0.278481,0,0,0,0,0,0] precision 0.071187 [0.220807,0,0.289524,0,0,0,0,0,0] precision 0.071058 [0.216216,0,0.293204,0,0,0,0,0,0] precision 0.070542 [0.218615,0,0.28839,0,0,0,0,0,0] precision 0.072274 [0.22658,0,0.290503,0,0,0,0,0,0] precision 0.070732 [0.218818,0,0.289425,0,0,0,0,0,0] precision 0.07181 [0.218029,0,0.294798,0,0,0,0,0,0] precision 0.073648 [0.21875,0,0.304264,0,0,0,0,0,0] precision 0.077565 [0.221983,0,0.286275,0.045455,0,0,0,0,0] precision 0.072269 [0.221053,0,0.295585,0,0,0,0,0,0] precision 0.070916 [0.220339,0,0.288168,0,0,0,0,0,0] precision 0.071076 [0.234375,0,0.281022,0,0,0,0,0,0] precision 0.071267 [0.229581,0,0.285451,0,0,0,0,0,0] precision 0.07095 [0.226293,0,0.285714,0,0,0,0,0,0] precision 0.072797 [0.224839,0,0.294896,0,0,0,0,0,0] precision 0.07066 [0.217119,0,0.290135,0,0,0,0,0,0] precision 0.071654 [0.235556,0,0.282051,0,0,0,0,0,0] precision 0.071653 [0.228261,0,0.287313,0,0,0,0,0,0] precision 0.072921 [0.226695,0,0.295802,0,0,0,0,0,0] precision 0.071141 [0.231626,0,0.281536,0,0,0,0,0,0] precision 0.07166 [0.219873,0,0.294455,0,0,0,0,0,0] precision 0.072554 [0.222689,0,0.298077,0,0,0,0,0,0] precision 0.072539 [0.219149,0,0.30038,0,0,0,0,0,0] precision 0.072392 [0.224576,0,0.295802,0,0,0,0,0,0] precision 0.070453 [0.224359,0,0.282197,0,0,0,0,0,0] precision 0.070848 [0.216102,0,0.291985,0,0,0,0,0,0] precision 0.071104 [0.220302,0,0.288931,0,0,0,0,0,0] precision 0.07263 [0.219409,0,0.300766,0,0,0,0,0,0] precision 0.072661 [0.232456,0,0.288889,0,0,0,0,0,0] precision 0.073971 [0.220833,0,0.306202,0,0,0,0,0,0] precision 0.071468 [0.223404,0,0.290875,0,0,0,0,0,0] predictive_accuracy 0.259779 predictive_accuracy 0.260782 predictive_accuracy 0.254764 predictive_accuracy 0.25677 predictive_accuracy 0.260782 predictive_accuracy 0.253761 predictive_accuracy 0.258776 predictive_accuracy 0.262788 predictive_accuracy 0.262788 predictive_accuracy 0.258776 predictive_accuracy 0.248996 predictive_accuracy 0.25502 predictive_accuracy 0.254016 predictive_accuracy 0.264056 predictive_accuracy 0.262048 predictive_accuracy 0.26506 predictive_accuracy 0.253012 predictive_accuracy 0.258032 predictive_accuracy 0.264056 predictive_accuracy 0.257028 predictive_accuracy 0.262048 predictive_accuracy 0.259036 predictive_accuracy 0.262048 predictive_accuracy 0.258032 predictive_accuracy 0.266064 predictive_accuracy 0.263052 predictive_accuracy 0.257028 predictive_accuracy 0.262048 predictive_accuracy 0.263052 predictive_accuracy 0.261044 predictive_accuracy 0.268072 predictive_accuracy 0.263052 predictive_accuracy 0.266064 predictive_accuracy 0.261044 predictive_accuracy 0.262048 predictive_accuracy 0.262048 predictive_accuracy 0.25502 predictive_accuracy 0.258032 predictive_accuracy 0.25502 predictive_accuracy 0.26506 predictive_accuracy 0.257028 predictive_accuracy 0.261044 predictive_accuracy 0.258032 predictive_accuracy 0.26004 predictive_accuracy 0.258032 predictive_accuracy 0.26004 predictive_accuracy 0.261044 predictive_accuracy 0.26004 predictive_accuracy 0.253012 predictive_accuracy 0.258032 predictive_accuracy 0.261044 predictive_accuracy 0.262048 predictive_accuracy 0.266064 predictive_accuracy 0.261044 predictive_accuracy 0.261044 predictive_accuracy 0.258032 predictive_accuracy 0.261044 predictive_accuracy 0.262048 predictive_accuracy 0.26004 predictive_accuracy 0.264056 predictive_accuracy 0.263052 predictive_accuracy 0.258032 predictive_accuracy 0.263052 predictive_accuracy 0.257028 predictive_accuracy 0.259036 predictive_accuracy 0.263052 predictive_accuracy 0.262048 predictive_accuracy 0.253012 predictive_accuracy 0.254016 predictive_accuracy 0.26004 predictive_accuracy 0.257028 predictive_accuracy 0.256024 predictive_accuracy 0.256024 predictive_accuracy 0.261044 predictive_accuracy 0.257028 predictive_accuracy 0.258032 predictive_accuracy 0.263052 predictive_accuracy 0.251004 predictive_accuracy 0.26004 predictive_accuracy 0.256024 predictive_accuracy 0.26004 predictive_accuracy 0.26004 predictive_accuracy 0.258032 predictive_accuracy 0.262048 predictive_accuracy 0.25502 predictive_accuracy 0.261044 predictive_accuracy 0.26004 predictive_accuracy 0.263052 predictive_accuracy 0.259036 predictive_accuracy 0.259036 predictive_accuracy 0.262048 predictive_accuracy 0.262048 predictive_accuracy 0.262048 predictive_accuracy 0.25502 predictive_accuracy 0.256024 predictive_accuracy 0.257028 predictive_accuracy 0.262048 predictive_accuracy 0.263052 predictive_accuracy 0.26506 predictive_accuracy 0.259036 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 recall 0.259779 [0.954128,0,0.962733,0,0,0,0,0,0] recall 0.260782 [0.972727,0,0.944444,0,0,0,0,0,0] recall 0.254764 [0.927273,0,0.938272,0,0,0,0,0,0] recall 0.25677 [0.93578,0,0.950617,0,0,0,0,0,0] recall 0.260782 [0.963636,0,0.956522,0,0,0,0,0,0] recall 0.253761 [0.954545,0,0.919255,0,0,0,0,0,0] recall 0.258776 [0.954128,0,0.956522,0,0,0,0,0,0] recall 0.262788 [0.963636,0,0.968944,0,0,0,0,0,0] recall 0.262788 [0.963303,0,0.969136,0,0,0,0,0,0] recall 0.258776 [0.954128,0,0.950617,0,0,0,0,0,0] recall 0.248996 [0.944954,0,0.900621,0,0,0,0,0,0] recall 0.25502 [0.918182,0,0.944444,0,0,0,0,0,0] recall 0.254016 [0.945455,0,0.919753,0,0,0,0,0,0] recall 0.264056 [0.972477,0,0.975155,0,0,0,0,0,0] recall 0.262048 [0.945455,0,0.975155,0,0,0,0,0,0] recall 0.26506 [0.981818,0,0.968944,0,0,0,0,0,0] recall 0.253012 [0.908257,0,0.950311,0,0,0,0,0,0] recall 0.258032 [0.963636,0,0.937888,0,0,0,0,0,0] recall 0.264056 [0.972727,0,0.968944,0,0,0,0,0,0] recall 0.257028 [0.954128,0,0.938272,0,0,0,0,0,0] recall 0.262048 [0.963636,0,0.962733,0,0,0,0,0,0] recall 0.259036 [0.954545,0,0.944444,0,0,0,0,0,0] recall 0.262048 [0.954545,0,0.962963,0,0,0,0,0,0] recall 0.258032 [0.963303,0,0.944099,0,0,0,0,0,0] recall 0.266064 [0.963636,0,0.987578,0,0,0,0,0,0] recall 0.263052 [0.936364,0,0.987578,0,0,0,0,0,0] recall 0.257028 [0.944954,0,0.950311,0,0,0,0,0,0] recall 0.262048 [0.963636,0,0.962733,0,0,0,0,0,0] recall 0.263052 [0.990909,0,0.950311,0,0,0,0,0,0] recall 0.261044 [0.972727,0,0.944444,0,0,0,0,0,0] recall 0.268072 [0.990909,0,0.975309,0,0,0,0,0,0] recall 0.263052 [0.981818,0,0.950617,0,0,0,0,0,0] recall 0.266064 [0.981818,0,0.969136,0,0,0,0,0,0] recall 0.261044 [0.954545,0,0.962733,0,0,0,0,0,0] recall 0.262048 [0.981818,0,0.944444,0,0,0,0,0,0] recall 0.262048 [0.972727,0,0.956522,0,0,0,0,0,0] recall 0.25502 [0.972727,0,0.913043,0,0,0,0,0,0] recall 0.258032 [0.972727,0,0.931677,0,0,0,0,0,0] recall 0.25502 [0.909091,0,0.956522,0,0,0,0,0,0] recall 0.26506 [0.945455,0,0.987654,0,0,0,0,0,0] recall 0.257028 [0.927273,0,0.950617,0,0,0,0,0,0] recall 0.261044 [0.972727,0,0.950311,0,0,0,0,0,0] recall 0.258032 [0.972727,0,0.931677,0,0,0,0,0,0] recall 0.26004 [0.936364,0,0.968944,0,0,0,0,0,0] recall 0.258032 [0.972727,0,0.925926,0,0,0,0,0,0] recall 0.26004 [0.936364,0,0.968944,0,0,0,0,0,0] recall 0.261044 [0.945455,0,0.962963,0,0,0,0,0,0] recall 0.26004 [0.936364,0,0.968944,0,0,0,0,0,0] recall 0.253012 [0.927273,0,0.931677,0,0,0,0,0,0] recall 0.258032 [0.918182,0,0.968944,0,0,0,0,0,0] recall 0.261044 [0.954545,0,0.95679,0,0,0,0,0,0] recall 0.262048 [0.954545,0,0.968944,0,0,0,0,0,0] recall 0.266064 [0.963636,0,0.968944,0.020408,0,0,0,0,0] recall 0.261044 [0.972727,0,0.950311,0,0,0,0,0,0] recall 0.261044 [0.972727,0,0.944444,0,0,0,0,0,0] recall 0.258032 [0.936364,0,0.956522,0,0,0,0,0,0] recall 0.261044 [0.981818,0,0.938272,0,0,0,0,0,0] recall 0.262048 [0.954128,0,0.975155,0,0,0,0,0,0] recall 0.26004 [0.945455,0,0.962733,0,0,0,0,0,0] recall 0.264056 [0.972727,0,0.968944,0,0,0,0,0,0] recall 0.263052 [0.954545,0,0.969136,0,0,0,0,0,0] recall 0.258032 [0.954128,0,0.950311,0,0,0,0,0,0] recall 0.263052 [0.963303,0,0.975155,0,0,0,0,0,0] recall 0.257028 [0.963636,0,0.931677,0,0,0,0,0,0] recall 0.259036 [0.954128,0,0.950617,0,0,0,0,0,0] recall 0.263052 [0.944954,0,0.981481,0,0,0,0,0,0] recall 0.262048 [0.954545,0,0.962963,0,0,0,0,0,0] recall 0.253012 [0.917431,0,0.938272,0,0,0,0,0,0] recall 0.254016 [0.963636,0,0.913043,0,0,0,0,0,0] recall 0.26004 [0.954545,0,0.956522,0,0,0,0,0,0] recall 0.257028 [0.945455,0,0.944099,0,0,0,0,0,0] recall 0.256024 [0.954128,0,0.937888,0,0,0,0,0,0] recall 0.256024 [0.926606,0,0.956522,0,0,0,0,0,0] recall 0.261044 [0.945455,0,0.962963,0,0,0,0,0,0] recall 0.257028 [0.917431,0,0.968944,0,0,0,0,0,0] recall 0.258032 [0.954128,0,0.944444,0,0,0,0,0,0] recall 0.263052 [0.954545,0,0.969136,0,0,0,0,0,0] recall 0.251004 [0.944954,0,0.901235,0.006803,0,0,0,0,0] recall 0.26004 [0.963303,0,0.950617,0,0,0,0,0,0] recall 0.256024 [0.945455,0,0.937888,0,0,0,0,0,0] recall 0.26004 [0.963303,0,0.956522,0,0,0,0,0,0] recall 0.26004 [0.954128,0,0.962733,0,0,0,0,0,0] recall 0.258032 [0.963303,0,0.944099,0,0,0,0,0,0] recall 0.262048 [0.954545,0,0.962963,0,0,0,0,0,0] recall 0.25502 [0.954128,0,0.931677,0,0,0,0,0,0] recall 0.261044 [0.972477,0,0.950617,0,0,0,0,0,0] recall 0.26004 [0.954545,0,0.956522,0,0,0,0,0,0] recall 0.263052 [0.981651,0,0.95679,0,0,0,0,0,0] recall 0.259036 [0.954128,0,0.950617,0,0,0,0,0,0] recall 0.259036 [0.954128,0,0.956522,0,0,0,0,0,0] recall 0.262048 [0.972477,0,0.962733,0,0,0,0,0,0] recall 0.262048 [0.944954,0,0.981366,0,0,0,0,0,0] recall 0.262048 [0.972477,0,0.962733,0,0,0,0,0,0] recall 0.25502 [0.963303,0,0.919753,0,0,0,0,0,0] recall 0.256024 [0.93578,0,0.950311,0,0,0,0,0,0] recall 0.257028 [0.93578,0,0.950617,0,0,0,0,0,0] recall 0.262048 [0.954128,0,0.975155,0,0,0,0,0,0] recall 0.263052 [0.963636,0,0.962963,0,0,0,0,0,0] recall 0.26506 [0.972477,0,0.975309,0,0,0,0,0,0] recall 0.259036 [0.963303,0,0.950311,0,0,0,0,0,0] relative_absolute_error 0.924643 relative_absolute_error 0.922481 relative_absolute_error 0.92234 relative_absolute_error 0.924683 relative_absolute_error 0.922425 relative_absolute_error 0.924418 relative_absolute_error 0.923606 relative_absolute_error 0.923318 relative_absolute_error 0.920908 relative_absolute_error 0.924125 relative_absolute_error 0.925462 relative_absolute_error 0.923435 relative_absolute_error 0.926038 relative_absolute_error 0.920869 relative_absolute_error 0.922427 relative_absolute_error 0.922463 relative_absolute_error 0.92336 relative_absolute_error 0.92343 relative_absolute_error 0.920543 relative_absolute_error 0.923431 relative_absolute_error 0.924223 relative_absolute_error 0.923482 relative_absolute_error 0.924077 relative_absolute_error 0.921844 relative_absolute_error 0.919716 relative_absolute_error 0.921833 relative_absolute_error 0.922926 relative_absolute_error 0.922278 relative_absolute_error 0.924083 relative_absolute_error 0.922738 relative_absolute_error 0.921308 relative_absolute_error 0.922559 relative_absolute_error 0.921805 relative_absolute_error 0.922124 relative_absolute_error 0.923743 relative_absolute_error 0.921883 relative_absolute_error 0.925277 relative_absolute_error 0.925013 relative_absolute_error 0.925139 relative_absolute_error 0.919833 relative_absolute_error 0.924524 relative_absolute_error 0.925084 relative_absolute_error 0.925639 relative_absolute_error 0.925241 relative_absolute_error 0.925414 relative_absolute_error 0.923607 relative_absolute_error 0.922928 relative_absolute_error 0.923603 relative_absolute_error 0.926307 relative_absolute_error 0.924111 relative_absolute_error 0.922997 relative_absolute_error 0.923479 relative_absolute_error 0.923584 relative_absolute_error 0.923393 relative_absolute_error 0.921369 relative_absolute_error 0.925119 relative_absolute_error 0.923771 relative_absolute_error 0.922511 relative_absolute_error 0.923509 relative_absolute_error 0.923544 relative_absolute_error 0.9238 relative_absolute_error 0.924038 relative_absolute_error 0.92391 relative_absolute_error 0.926854 relative_absolute_error 0.925314 relative_absolute_error 0.922129 relative_absolute_error 0.92281 relative_absolute_error 0.926506 relative_absolute_error 0.927279 relative_absolute_error 0.922012 relative_absolute_error 0.923953 relative_absolute_error 0.924222 relative_absolute_error 0.923096 relative_absolute_error 0.92402 relative_absolute_error 0.924318 relative_absolute_error 0.924548 relative_absolute_error 0.923493 relative_absolute_error 0.925035 relative_absolute_error 0.921434 relative_absolute_error 0.923318 relative_absolute_error 0.921811 relative_absolute_error 0.922963 relative_absolute_error 0.92396 relative_absolute_error 0.923016 relative_absolute_error 0.924675 relative_absolute_error 0.921949 relative_absolute_error 0.923229 relative_absolute_error 0.921905 relative_absolute_error 0.924074 relative_absolute_error 0.924991 relative_absolute_error 0.922923 relative_absolute_error 0.923514 relative_absolute_error 0.921868 relative_absolute_error 0.923166 relative_absolute_error 0.92548 relative_absolute_error 0.925793 relative_absolute_error 0.923448 relative_absolute_error 0.922271 relative_absolute_error 0.922721 relative_absolute_error 0.925686 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313184 root_mean_prior_squared_error 0.313184 root_mean_prior_squared_error 0.31317 root_mean_prior_squared_error 0.313197 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313218 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313171 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313182 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313212 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313187 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313204 root_mean_prior_squared_error 0.313181 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.31321 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313181 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313209 root_mean_prior_squared_error 0.313209 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313213 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313213 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313194 root_mean_squared_error 0.300669 root_mean_squared_error 0.300049 root_mean_squared_error 0.300247 root_mean_squared_error 0.301023 root_mean_squared_error 0.300017 root_mean_squared_error 0.300984 root_mean_squared_error 0.300664 root_mean_squared_error 0.300333 root_mean_squared_error 0.29971 root_mean_squared_error 0.300355 root_mean_squared_error 0.301206 root_mean_squared_error 0.300262 root_mean_squared_error 0.300963 root_mean_squared_error 0.299574 root_mean_squared_error 0.300349 root_mean_squared_error 0.299533 root_mean_squared_error 0.300434 root_mean_squared_error 0.300394 root_mean_squared_error 0.2993 root_mean_squared_error 0.300255 root_mean_squared_error 0.300691 root_mean_squared_error 0.300573 root_mean_squared_error 0.300226 root_mean_squared_error 0.299645 root_mean_squared_error 0.299209 root_mean_squared_error 0.299935 root_mean_squared_error 0.300444 root_mean_squared_error 0.299655 root_mean_squared_error 0.300305 root_mean_squared_error 0.300031 root_mean_squared_error 0.299759 root_mean_squared_error 0.300409 root_mean_squared_error 0.299663 root_mean_squared_error 0.300209 root_mean_squared_error 0.300328 root_mean_squared_error 0.300059 root_mean_squared_error 0.30115 root_mean_squared_error 0.300601 root_mean_squared_error 0.301024 root_mean_squared_error 0.299302 root_mean_squared_error 0.300824 root_mean_squared_error 0.301114 root_mean_squared_error 0.300433 root_mean_squared_error 0.300833 root_mean_squared_error 0.300979 root_mean_squared_error 0.300491 root_mean_squared_error 0.300306 root_mean_squared_error 0.30021 root_mean_squared_error 0.301156 root_mean_squared_error 0.300728 root_mean_squared_error 0.299885 root_mean_squared_error 0.300607 root_mean_squared_error 0.300245 root_mean_squared_error 0.300171 root_mean_squared_error 0.299689 root_mean_squared_error 0.301281 root_mean_squared_error 0.30048 root_mean_squared_error 0.299811 root_mean_squared_error 0.300911 root_mean_squared_error 0.300417 root_mean_squared_error 0.30058 root_mean_squared_error 0.300452 root_mean_squared_error 0.300702 root_mean_squared_error 0.301783 root_mean_squared_error 0.301257 root_mean_squared_error 0.29992 root_mean_squared_error 0.299842 root_mean_squared_error 0.301126 root_mean_squared_error 0.301621 root_mean_squared_error 0.300056 root_mean_squared_error 0.300295 root_mean_squared_error 0.300648 root_mean_squared_error 0.300517 root_mean_squared_error 0.300504 root_mean_squared_error 0.30079 root_mean_squared_error 0.300917 root_mean_squared_error 0.300167 root_mean_squared_error 0.300214 root_mean_squared_error 0.299577 root_mean_squared_error 0.300384 root_mean_squared_error 0.29955 root_mean_squared_error 0.300231 root_mean_squared_error 0.300351 root_mean_squared_error 0.300033 root_mean_squared_error 0.30095 root_mean_squared_error 0.299839 root_mean_squared_error 0.30021 root_mean_squared_error 0.299801 root_mean_squared_error 0.300643 root_mean_squared_error 0.300772 root_mean_squared_error 0.300169 root_mean_squared_error 0.300453 root_mean_squared_error 0.299811 root_mean_squared_error 0.300622 root_mean_squared_error 0.301488 root_mean_squared_error 0.3016 root_mean_squared_error 0.300312 root_mean_squared_error 0.300189 root_mean_squared_error 0.299723 root_mean_squared_error 0.300546 root_relative_squared_error 0.959991 root_relative_squared_error 0.958062 root_relative_squared_error 0.958693 root_relative_squared_error 0.961211 root_relative_squared_error 0.957919 root_relative_squared_error 0.961015 root_relative_squared_error 0.95992 root_relative_squared_error 0.958936 root_relative_squared_error 0.957017 root_relative_squared_error 0.958986 root_relative_squared_error 0.961721 root_relative_squared_error 0.958757 root_relative_squared_error 0.960996 root_relative_squared_error 0.956511 root_relative_squared_error 0.959021 root_relative_squared_error 0.956361 root_relative_squared_error 0.959276 root_relative_squared_error 0.959166 root_relative_squared_error 0.955594 root_relative_squared_error 0.958723 root_relative_squared_error 0.960113 root_relative_squared_error 0.95975 root_relative_squared_error 0.958643 root_relative_squared_error 0.956687 root_relative_squared_error 0.95538 root_relative_squared_error 0.957622 root_relative_squared_error 0.959314 root_relative_squared_error 0.956803 root_relative_squared_error 0.958804 root_relative_squared_error 0.958022 root_relative_squared_error 0.957152 root_relative_squared_error 0.959229 root_relative_squared_error 0.956847 root_relative_squared_error 0.958506 root_relative_squared_error 0.958968 root_relative_squared_error 0.95802 root_relative_squared_error 0.961578 root_relative_squared_error 0.95975 root_relative_squared_error 0.961119 root_relative_squared_error 0.955694 root_relative_squared_error 0.960553 root_relative_squared_error 0.961386 root_relative_squared_error 0.959232 root_relative_squared_error 0.96051 root_relative_squared_error 0.961048 root_relative_squared_error 0.959418 root_relative_squared_error 0.9589 root_relative_squared_error 0.958502 root_relative_squared_error 0.961543 root_relative_squared_error 0.960174 root_relative_squared_error 0.957556 root_relative_squared_error 0.959768 root_relative_squared_error 0.958634 root_relative_squared_error 0.958397 root_relative_squared_error 0.956928 root_relative_squared_error 0.961941 root_relative_squared_error 0.959455 root_relative_squared_error 0.957236 root_relative_squared_error 0.960758 root_relative_squared_error 0.95918 root_relative_squared_error 0.959772 root_relative_squared_error 0.959334 root_relative_squared_error 0.960134 root_relative_squared_error 0.963542 root_relative_squared_error 0.961911 root_relative_squared_error 0.957651 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