385199 2 Joaquin Vanschoren 4215 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 1343188 description https://api.openml.org/data/download/1343188/weka_generated_run40463553468640482.xml -1 1343191 model_readable https://api.openml.org/data/download/1343191/WekaModel_weka.classifiers.meta.FilteredClassifier4581360384146296026.model -1 1343190 model_serialized https://api.openml.org/data/download/1343190/WekaSerialized_weka.classifiers.meta.FilteredClassifier1172989711208420755.model -1 1343189 predictions https://api.openml.org/data/download/1343189/weka_generated_predictions7720878667627034504.arff area_under_roc_curve 0.925332 [0.917684,0.938566,0.944124,0.943294,0.938452,0.970713,0.951353,0.836899,0.859688] average_cost 0 f_measure 0.775483 [0.747585,0.811434,0.832872,0.815862,0.792359,0.89675,0.845618,0.571153,0.586615] kappa 0.747046 kb_relative_information_score 75737.542163 mean_absolute_error 0.058498 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 0.774477 [0.736562,0.809356,0.826921,0.813276,0.789093,0.888165,0.841113,0.586074,0.608154] predictive_accuracy 0.776769 prior_entropy 3.132137 recall 0.776769 [0.758942,0.813522,0.83891,0.818466,0.795652,0.905504,0.850171,0.556973,0.566551] relative_absolute_error 0.298188 root_mean_prior_squared_error 0.313191 root_mean_squared_error 0.200436 root_relative_squared_error 0.639981 scimark_benchmark 933.45983 [540.5146083145181, 1010.9942233373424, 489.1761913564198, 900.5290236951702, 1726.0851055856206] total_cost 0 usercpu_time_millis 190 usercpu_time_millis_testing 20 usercpu_time_millis_training 170 area_under_roc_curve 0.928287 [0.938187,0.934495,0.951065,0.926157,0.952242,0.98504,0.955891,0.831526,0.861467] area_under_roc_curve 0.924367 [0.916957,0.915159,0.927955,0.942525,0.94071,0.97397,0.961616,0.848828,0.875373] area_under_roc_curve 0.916885 [0.906436,0.941115,0.908261,0.946291,0.915732,0.956732,0.959368,0.854573,0.841013] area_under_roc_curve 0.914612 [0.926735,0.935243,0.937987,0.907009,0.935437,0.952558,0.940302,0.849671,0.825371] area_under_roc_curve 0.921106 [0.934452,0.921031,0.949787,0.936993,0.944251,0.958744,0.956886,0.818445,0.831708] area_under_roc_curve 0.925807 [0.948053,0.940541,0.937223,0.935023,0.958462,0.96416,0.959771,0.825169,0.843672] area_under_roc_curve 0.935618 [0.933631,0.934293,0.945344,0.965686,0.951808,0.959433,0.955541,0.871952,0.876733] area_under_roc_curve 0.927234 [0.892426,0.940862,0.951681,0.948186,0.966177,0.979126,0.948155,0.842534,0.852867] area_under_roc_curve 0.925351 [0.916615,0.943066,0.945202,0.926042,0.961999,0.982155,0.972266,0.821865,0.838307] area_under_roc_curve 0.927972 [0.928951,0.937268,0.925675,0.948347,0.913978,0.974779,0.945105,0.858944,0.904175] area_under_roc_curve 0.918096 [0.936612,0.918105,0.928865,0.949037,0.921262,0.97463,0.949044,0.803429,0.847757] area_under_roc_curve 0.915136 [0.904145,0.939017,0.915704,0.94902,0.934124,0.966696,0.920821,0.843913,0.843847] area_under_roc_curve 0.916623 [0.919782,0.954866,0.939012,0.918331,0.949311,0.955868,0.933151,0.809702,0.853092] area_under_roc_curve 0.925134 [0.92508,0.93753,0.945286,0.955703,0.91258,0.978796,0.948558,0.832529,0.849118] area_under_roc_curve 0.923037 [0.910871,0.957,0.930546,0.950639,0.915459,0.956117,0.960221,0.806217,0.894493] area_under_roc_curve 0.916863 [0.919885,0.921825,0.954521,0.926616,0.936316,0.956383,0.912522,0.836595,0.858478] area_under_roc_curve 0.933604 [0.906054,0.921557,0.9477,0.96379,0.960687,0.945185,0.982211,0.840671,0.909436] area_under_roc_curve 0.921274 [0.91378,0.952293,0.955458,0.952882,0.90254,0.968362,0.939388,0.847829,0.802798] area_under_roc_curve 0.919778 [0.903053,0.913449,0.94594,0.952677,0.900473,0.979589,0.949297,0.848233,0.838078] area_under_roc_curve 0.914682 [0.89584,0.931066,0.919568,0.93771,0.93772,0.969398,0.949428,0.808341,0.866586] area_under_roc_curve 0.917477 [0.901575,0.955733,0.945966,0.951081,0.885775,0.981036,0.929237,0.829023,0.828303] area_under_roc_curve 0.923557 [0.898928,0.947924,0.963918,0.917198,0.962893,0.985966,0.963289,0.805504,0.841094] area_under_roc_curve 0.927116 [0.922337,0.944045,0.958529,0.922069,0.932148,0.977141,0.960576,0.82015,0.882884] area_under_roc_curve 0.931705 [0.939426,0.950776,0.946681,0.933006,0.940498,0.97772,0.957343,0.882554,0.83289] area_under_roc_curve 0.928445 [0.911948,0.911872,0.953264,0.952942,0.922288,0.978299,0.958349,0.844648,0.887663] area_under_roc_curve 0.925749 [0.919208,0.930937,0.947023,0.950173,0.930601,0.978235,0.966123,0.823829,0.848288] area_under_roc_curve 0.91732 [0.889495,0.937087,0.939841,0.938022,0.923615,0.963235,0.952223,0.80921,0.874336] area_under_roc_curve 0.926618 [0.932613,0.95396,0.951434,0.922919,0.928607,0.957575,0.954256,0.859843,0.851846] area_under_roc_curve 0.923147 [0.925503,0.929451,0.947595,0.923944,0.90478,0.97184,0.968136,0.855706,0.846262] area_under_roc_curve 0.935696 [0.919428,0.949996,0.936506,0.93916,0.950848,0.96923,0.956672,0.895243,0.90039] area_under_roc_curve 0.938009 [0.939483,0.940002,0.961242,0.951768,0.945101,0.974902,0.966415,0.849101,0.884698] area_under_roc_curve 0.93054 [0.893105,0.936168,0.935296,0.932898,0.97901,0.958281,0.958198,0.896604,0.886257] area_under_roc_curve 0.931755 [0.936471,0.957068,0.944322,0.952305,0.966978,0.984774,0.932659,0.85929,0.830533] area_under_roc_curve 0.92674 [0.890632,0.956375,0.937103,0.917282,0.985909,0.987245,0.952462,0.841562,0.879955] area_under_roc_curve 0.924588 [0.90966,0.947001,0.945248,0.932862,0.959276,0.980729,0.936753,0.821201,0.875562] area_under_roc_curve 0.924319 [0.941807,0.948144,0.940083,0.944685,0.965808,0.95923,0.953025,0.815875,0.821429] area_under_roc_curve 0.929509 [0.918305,0.941725,0.921189,0.936938,0.964045,0.984259,0.957192,0.864578,0.878725] area_under_roc_curve 0.923533 [0.916391,0.931703,0.92477,0.934974,0.927647,0.986638,0.952729,0.833287,0.893439] area_under_roc_curve 0.926549 [0.904433,0.923099,0.93749,0.957613,0.929124,0.986543,0.956171,0.840799,0.875633] area_under_roc_curve 0.925815 [0.913929,0.950323,0.951217,0.93928,0.944822,0.990046,0.943929,0.83545,0.834488] area_under_roc_curve 0.916505 [0.902129,0.929676,0.939156,0.928031,0.946874,0.964039,0.929874,0.824371,0.866777] area_under_roc_curve 0.931265 [0.931341,0.921759,0.9638,0.95458,0.955185,0.986262,0.960445,0.836136,0.830009] area_under_roc_curve 0.916799 [0.907793,0.93257,0.938454,0.927386,0.870559,0.980861,0.935061,0.865927,0.856114] area_under_roc_curve 0.920985 [0.898841,0.939079,0.950537,0.926833,0.908629,0.965236,0.959356,0.838171,0.869505] area_under_roc_curve 0.920332 [0.911897,0.926652,0.944137,0.942694,0.928901,0.980214,0.952778,0.823773,0.83542] area_under_roc_curve 0.936743 [0.926041,0.966758,0.943222,0.939292,0.946574,0.997357,0.963294,0.869108,0.865417] area_under_roc_curve 0.937161 [0.929607,0.959405,0.943919,0.938804,0.958669,0.980764,0.959501,0.831932,0.930693] area_under_roc_curve 0.935306 [0.93289,0.935436,0.950374,0.958743,0.949602,0.964844,0.970946,0.833072,0.895451] area_under_roc_curve 0.912833 [0.93052,0.917244,0.944918,0.939809,0.908601,0.968963,0.935611,0.820643,0.796761] area_under_roc_curve 0.923263 [0.906669,0.947924,0.938294,0.939352,0.951783,0.965116,0.936612,0.80968,0.902619] area_under_roc_curve 0.93078 [0.941422,0.94543,0.940984,0.961908,0.928649,0.974346,0.956054,0.848786,0.843087] area_under_roc_curve 0.926958 [0.935666,0.937975,0.95233,0.944088,0.913774,0.955058,0.974184,0.823641,0.864196] area_under_roc_curve 0.923216 [0.939991,0.925098,0.942374,0.941135,0.958277,0.96671,0.952612,0.793954,0.864056] area_under_roc_curve 0.930917 [0.918587,0.956054,0.949013,0.953867,0.950589,0.974892,0.950809,0.827596,0.87148] area_under_roc_curve 0.93381 [0.91929,0.964309,0.952098,0.94527,0.941351,0.976551,0.971131,0.854467,0.851099] area_under_roc_curve 0.927062 [0.893803,0.930166,0.957388,0.949665,0.900781,0.96968,0.964412,0.864318,0.869269] area_under_roc_curve 0.927488 [0.944357,0.922114,0.94615,0.946768,0.926917,0.963038,0.960863,0.822086,0.883203] area_under_roc_curve 0.932333 [0.929114,0.951217,0.961665,0.945851,0.938712,0.976113,0.934876,0.852271,0.871837] area_under_roc_curve 0.928656 [0.938724,0.974472,0.943445,0.936748,0.947957,0.963889,0.931916,0.833973,0.871032] area_under_roc_curve 0.915828 [0.938128,0.920234,0.968449,0.943331,0.957768,0.97128,0.921784,0.790337,0.775409] area_under_roc_curve 0.922968 [0.922317,0.927705,0.946187,0.960626,0.897282,0.980394,0.949535,0.829509,0.843055] area_under_roc_curve 0.935685 [0.92735,0.953712,0.931443,0.945129,0.95635,0.963694,0.970577,0.851983,0.917685] area_under_roc_curve 0.919339 [0.897888,0.934709,0.957016,0.927062,0.931233,0.961148,0.934565,0.817291,0.886193] area_under_roc_curve 0.939208 [0.935307,0.948465,0.963875,0.960446,0.963557,0.974714,0.980942,0.835013,0.854523] area_under_roc_curve 0.917546 [0.919288,0.913742,0.962526,0.91614,0.932539,0.981302,0.948543,0.825311,0.819911] area_under_roc_curve 0.925808 [0.880646,0.936258,0.953815,0.944228,0.956581,0.968275,0.948572,0.856978,0.860836] area_under_roc_curve 0.918898 [0.929104,0.925414,0.928505,0.930154,0.92439,0.986557,0.964514,0.800708,0.857245] area_under_roc_curve 0.925677 [0.926047,0.937632,0.919394,0.955141,0.976943,0.96753,0.946404,0.825217,0.869001] area_under_roc_curve 0.940505 [0.941094,0.935396,0.963808,0.955097,0.961797,0.985162,0.966877,0.860086,0.86741] area_under_roc_curve 0.931918 [0.924918,0.958149,0.940607,0.94315,0.973675,0.947032,0.94811,0.898236,0.837823] area_under_roc_curve 0.934504 [0.908829,0.952609,0.941689,0.967513,0.955135,0.975437,0.956468,0.867863,0.860133] area_under_roc_curve 0.921204 [0.912161,0.938093,0.927277,0.954786,0.943062,0.953127,0.965224,0.816102,0.851776] area_under_roc_curve 0.924633 [0.888843,0.911439,0.945855,0.962081,0.94613,0.983449,0.947532,0.840279,0.863519] area_under_roc_curve 0.920602 [0.911359,0.913466,0.942009,0.944204,0.939654,0.951649,0.964665,0.82223,0.863615] area_under_roc_curve 0.914893 [0.873716,0.944242,0.943192,0.951708,0.946037,0.969078,0.917389,0.803636,0.856593] area_under_roc_curve 0.912325 [0.910176,0.89439,0.926318,0.948519,0.920074,0.982228,0.951509,0.825487,0.812101] area_under_roc_curve 0.920254 [0.91082,0.931173,0.960254,0.947137,0.939389,0.958721,0.938435,0.828774,0.82086] area_under_roc_curve 0.910667 [0.916573,0.930644,0.898459,0.943415,0.931016,0.960804,0.955495,0.801482,0.839439] area_under_roc_curve 0.933387 [0.942596,0.92516,0.947135,0.960526,0.950708,0.969352,0.953935,0.852237,0.871116] area_under_roc_curve 0.931181 [0.918279,0.956133,0.945152,0.954045,0.940506,0.969873,0.954503,0.859788,0.853923] area_under_roc_curve 0.933356 [0.919024,0.948684,0.951888,0.947541,0.927609,0.975935,0.972093,0.857282,0.869511] area_under_roc_curve 0.914694 [0.91002,0.929045,0.94966,0.936217,0.934766,0.937663,0.926315,0.79381,0.883644] area_under_roc_curve 0.929772 [0.945771,0.935503,0.939685,0.962567,0.916334,0.986053,0.950804,0.82322,0.873946] area_under_roc_curve 0.934754 [0.891525,0.934552,0.957641,0.955838,0.95457,0.990145,0.958266,0.847563,0.901738] area_under_roc_curve 0.92972 [0.908319,0.955273,0.940016,0.944541,0.927588,0.974015,0.965399,0.850711,0.878744] area_under_roc_curve 0.922246 [0.911489,0.97656,0.941765,0.95399,0.915473,0.963657,0.931429,0.816616,0.853431] area_under_roc_curve 0.92322 [0.898086,0.964703,0.953468,0.953883,0.922658,0.953374,0.936559,0.846192,0.83872] area_under_roc_curve 0.924665 [0.891553,0.950576,0.939404,0.956187,0.94869,0.975017,0.945747,0.824544,0.867231] area_under_roc_curve 0.930738 [0.916769,0.953684,0.955802,0.947436,0.93749,0.968542,0.963542,0.841341,0.858114] area_under_roc_curve 0.913055 [0.897852,0.911394,0.94391,0.934169,0.933572,0.952529,0.957746,0.823168,0.823275] area_under_roc_curve 0.922501 [0.91997,0.92322,0.942351,0.928395,0.930137,0.967232,0.941104,0.854162,0.875204] area_under_roc_curve 0.926084 [0.913253,0.959559,0.957805,0.934777,0.920081,0.963356,0.948295,0.833785,0.871831] area_under_roc_curve 0.933565 [0.930474,0.936981,0.957377,0.951051,0.949409,0.975712,0.961208,0.863001,0.843936] area_under_roc_curve 0.92833 [0.901555,0.931658,0.945455,0.966961,0.970414,0.978843,0.95901,0.801339,0.87254] area_under_roc_curve 0.918741 [0.914023,0.926906,0.950236,0.921232,0.929082,0.951206,0.941231,0.858095,0.846614] area_under_roc_curve 0.931312 [0.936587,0.951111,0.937787,0.939823,0.950261,0.97162,0.952272,0.845545,0.885024] area_under_roc_curve 0.932658 [0.92252,0.963098,0.956213,0.9595,0.942258,0.969198,0.958514,0.824708,0.862056] area_under_roc_curve 0.919891 [0.889216,0.931562,0.950621,0.952778,0.926457,0.964797,0.92297,0.862592,0.838615] area_under_roc_curve 0.926746 [0.947979,0.944163,0.93597,0.933632,0.945436,0.968588,0.923821,0.866165,0.86203] area_under_roc_curve 0.915595 [0.931043,0.92476,0.934507,0.921202,0.928813,0.976962,0.947916,0.790945,0.862184] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.78233 [0.728889,0.778947,0.850153,0.842466,0.823529,0.884211,0.836653,0.605128,0.608187] f_measure 0.787246 [0.78733,0.824742,0.833856,0.824324,0.802548,0.911917,0.869565,0.541872,0.618785] f_measure 0.768207 [0.764977,0.81,0.763077,0.825939,0.785276,0.884211,0.838983,0.632558,0.554839] f_measure 0.764545 [0.778761,0.796117,0.8375,0.765677,0.776316,0.884211,0.83682,0.551724,0.580645] f_measure 0.766712 [0.752137,0.765306,0.831858,0.798658,0.842105,0.861702,0.852321,0.552764,0.569536] f_measure 0.776779 [0.810345,0.818653,0.856269,0.794788,0.735484,0.903226,0.87069,0.546392,0.547619] f_measure 0.795553 [0.772093,0.851282,0.849231,0.832787,0.819876,0.900524,0.854772,0.613861,0.591195] f_measure 0.777756 [0.746667,0.808081,0.834951,0.814815,0.822785,0.919192,0.852321,0.57,0.55814] f_measure 0.767273 [0.726457,0.807692,0.818462,0.798635,0.804878,0.875,0.887931,0.518519,0.595238] f_measure 0.793894 [0.769912,0.80597,0.829851,0.821549,0.831169,0.880829,0.869565,0.603175,0.686391] f_measure 0.760811 [0.765766,0.825871,0.820988,0.825806,0.763158,0.888889,0.827586,0.470588,0.56] f_measure 0.773438 [0.772727,0.826531,0.811502,0.818182,0.782609,0.926316,0.781513,0.609137,0.568047] f_measure 0.756182 [0.765766,0.854167,0.820988,0.769737,0.820513,0.868687,0.790123,0.548223,0.5] f_measure 0.764945 [0.77193,0.787565,0.818182,0.813793,0.742515,0.896907,0.810127,0.568421,0.588957] f_measure 0.778298 [0.735426,0.857143,0.835366,0.813333,0.789116,0.861538,0.865546,0.522613,0.654088] f_measure 0.762275 [0.707547,0.778325,0.854545,0.833333,0.8,0.878788,0.807018,0.55102,0.542373] f_measure 0.8028 [0.740741,0.810526,0.850153,0.865772,0.782051,0.852792,0.910638,0.659794,0.659218] f_measure 0.750827 [0.714894,0.785714,0.839879,0.81457,0.687898,0.88172,0.801724,0.570048,0.534247] f_measure 0.746765 [0.726457,0.783069,0.802508,0.817891,0.75,0.884422,0.806584,0.52809,0.52381] f_measure 0.775773 [0.751174,0.81,0.798742,0.830565,0.810811,0.915789,0.830645,0.581633,0.595506] f_measure 0.760434 [0.696035,0.835821,0.803625,0.817869,0.72,0.908163,0.805085,0.589372,0.588235] f_measure 0.774721 [0.75576,0.837438,0.854545,0.798587,0.771242,0.923858,0.865546,0.544601,0.518987] f_measure 0.775841 [0.729614,0.81592,0.883436,0.818841,0.773333,0.880829,0.862903,0.528497,0.569767] f_measure 0.778301 [0.727273,0.857143,0.82716,0.819444,0.802632,0.869565,0.85,0.625,0.547771] f_measure 0.782865 [0.711111,0.797872,0.864353,0.854369,0.774194,0.875,0.872247,0.574257,0.610169] f_measure 0.763358 [0.730594,0.784689,0.818182,0.829932,0.765432,0.88,0.853448,0.558376,0.550336] f_measure 0.764196 [0.703196,0.794393,0.803797,0.812287,0.77707,0.887755,0.828452,0.574468,0.635294] f_measure 0.771894 [0.769231,0.803828,0.845426,0.806557,0.791667,0.885246,0.840336,0.594059,0.5125] f_measure 0.772483 [0.765957,0.828283,0.860681,0.781457,0.763158,0.913706,0.860759,0.557895,0.518987] f_measure 0.793525 [0.742081,0.789474,0.84375,0.821918,0.805031,0.916667,0.870293,0.649746,0.637363] f_measure 0.796342 [0.81982,0.806122,0.820988,0.819113,0.828025,0.908163,0.880342,0.57732,0.659091] f_measure 0.79534 [0.740741,0.85567,0.830303,0.816327,0.858896,0.877551,0.869955,0.625592,0.642424] f_measure 0.791282 [0.78481,0.823529,0.846847,0.812081,0.857143,0.914573,0.837004,0.596685,0.591195] f_measure 0.775699 [0.688372,0.820755,0.842767,0.8,0.822086,0.921466,0.835443,0.591133,0.601156] f_measure 0.794764 [0.748858,0.838384,0.844037,0.826389,0.836601,0.928571,0.829694,0.599034,0.651429] f_measure 0.772311 [0.768559,0.847291,0.808642,0.82069,0.858974,0.838384,0.853556,0.538071,0.551282] f_measure 0.778943 [0.739336,0.83,0.815287,0.846154,0.764331,0.897561,0.857143,0.604651,0.566265] f_measure 0.749702 [0.733945,0.795918,0.803797,0.780645,0.759494,0.914894,0.79661,0.523077,0.571429] f_measure 0.784021 [0.76699,0.793651,0.82716,0.842809,0.768293,0.935323,0.833333,0.572816,0.638037] f_measure 0.77502 [0.736364,0.854271,0.857143,0.804054,0.7875,0.935961,0.8,0.547264,0.571429] f_measure 0.769676 [0.721461,0.791878,0.818182,0.791946,0.802469,0.882051,0.86087,0.598985,0.597561] f_measure 0.773673 [0.765957,0.777202,0.846847,0.810997,0.78481,0.923858,0.823529,0.559585,0.584416] f_measure 0.768177 [0.725664,0.802083,0.826087,0.8223,0.715232,0.908163,0.821429,0.599078,0.59887] f_measure 0.771128 [0.711111,0.80203,0.829721,0.798701,0.753247,0.900524,0.893805,0.572864,0.591716] f_measure 0.760682 [0.754545,0.8,0.83871,0.764706,0.76129,0.871287,0.864629,0.514563,0.593023] f_measure 0.797559 [0.780269,0.845771,0.815047,0.807018,0.772414,0.96,0.839506,0.637255,0.686047] f_measure 0.805918 [0.762332,0.857143,0.819876,0.852234,0.813333,0.933333,0.858407,0.618357,0.697143] f_measure 0.799774 [0.745614,0.822335,0.85443,0.842105,0.813333,0.902564,0.871369,0.61,0.666667] f_measure 0.756233 [0.765217,0.784314,0.823899,0.809689,0.761905,0.904523,0.831169,0.555556,0.455696] f_measure 0.764568 [0.733945,0.814433,0.815951,0.804054,0.845638,0.901554,0.847458,0.444444,0.617801] f_measure 0.767066 [0.769231,0.809756,0.816456,0.79868,0.78481,0.902564,0.805085,0.59,0.556962] f_measure 0.775206 [0.756757,0.833333,0.858896,0.794613,0.756757,0.846939,0.859438,0.57561,0.598726] f_measure 0.778245 [0.824074,0.790244,0.806061,0.795848,0.841463,0.923858,0.853333,0.478723,0.651685] f_measure 0.787379 [0.748899,0.882051,0.835366,0.791809,0.877419,0.895522,0.827586,0.562162,0.636364] f_measure 0.795686 [0.7713,0.836538,0.838323,0.858182,0.742138,0.946809,0.875,0.604167,0.589595] f_measure 0.775408 [0.7,0.835979,0.851964,0.831081,0.718954,0.892308,0.860759,0.589372,0.585366] f_measure 0.763107 [0.773109,0.737864,0.818462,0.804054,0.726115,0.857143,0.864407,0.539326,0.658683] f_measure 0.78114 [0.769231,0.792952,0.850299,0.780142,0.825806,0.90099,0.836207,0.625,0.5875] f_measure 0.787415 [0.761062,0.862745,0.856269,0.816993,0.807947,0.895833,0.807018,0.642487,0.557576] f_measure 0.762717 [0.745614,0.8,0.849558,0.804054,0.853503,0.882353,0.826087,0.525773,0.483221] f_measure 0.773554 [0.709402,0.773196,0.860681,0.831169,0.738854,0.94359,0.857143,0.55615,0.576687] f_measure 0.782835 [0.75,0.813084,0.805195,0.830565,0.81761,0.885417,0.858407,0.602041,0.627907] f_measure 0.779086 [0.7109,0.778846,0.863492,0.813559,0.768293,0.907216,0.864407,0.571429,0.641509] f_measure 0.795513 [0.763158,0.843243,0.843373,0.864111,0.825806,0.903553,0.903766,0.530612,0.589595] f_measure 0.77135 [0.778281,0.764398,0.877301,0.775087,0.773006,0.913706,0.857143,0.564356,0.533333] f_measure 0.782934 [0.730594,0.846939,0.849398,0.82069,0.802469,0.893617,0.858369,0.602871,0.552147] f_measure 0.775441 [0.789238,0.795812,0.819572,0.784314,0.802632,0.944162,0.866953,0.544503,0.569767] f_measure 0.769105 [0.768519,0.806122,0.813456,0.852349,0.8125,0.883249,0.818182,0.516484,0.563218] f_measure 0.798917 [0.761062,0.831683,0.872274,0.836364,0.788235,0.901554,0.877637,0.642857,0.581395] f_measure 0.773637 [0.763636,0.838384,0.823529,0.814815,0.807692,0.851064,0.812227,0.653465,0.518519] f_measure 0.794461 [0.753363,0.834171,0.847561,0.828283,0.804878,0.891304,0.881057,0.608696,0.625767] f_measure 0.778063 [0.755556,0.80402,0.821656,0.816054,0.794872,0.900524,0.876033,0.541667,0.62069] f_measure 0.776557 [0.712963,0.793651,0.839879,0.824281,0.836364,0.911917,0.827004,0.572973,0.601227] f_measure 0.776666 [0.722689,0.792079,0.849057,0.818482,0.812903,0.877005,0.902128,0.546392,0.575] f_measure 0.760011 [0.682692,0.822335,0.838509,0.797386,0.814371,0.911917,0.820513,0.535354,0.538922] f_measure 0.760231 [0.729508,0.748718,0.793939,0.846154,0.792453,0.938776,0.853333,0.562814,0.481013] f_measure 0.771141 [0.760181,0.790244,0.835294,0.821549,0.820513,0.907216,0.835556,0.52459,0.561404] f_measure 0.74329 [0.751092,0.766839,0.769231,0.816993,0.77707,0.883495,0.846473,0.489796,0.5] f_measure 0.786669 [0.762712,0.827225,0.835821,0.848485,0.848101,0.899471,0.837607,0.553191,0.597561] f_measure 0.784286 [0.709402,0.819512,0.866044,0.797203,0.756098,0.924731,0.847737,0.626866,0.631579] f_measure 0.784228 [0.734884,0.822335,0.823171,0.813793,0.742138,0.923858,0.868085,0.650718,0.604938] f_measure 0.749978 [0.753363,0.778325,0.823881,0.778157,0.772152,0.863388,0.815451,0.492308,0.591716] f_measure 0.780198 [0.72,0.823529,0.828025,0.852459,0.763636,0.916667,0.859438,0.601093,0.55814] f_measure 0.788643 [0.730769,0.8,0.858934,0.8,0.832298,0.94,0.844262,0.626866,0.60355] f_measure 0.770648 [0.767773,0.817308,0.811321,0.835616,0.755814,0.915423,0.829876,0.52973,0.585366] f_measure 0.784759 [0.731278,0.831683,0.833856,0.868687,0.76129,0.896907,0.852174,0.600985,0.581818] f_measure 0.774373 [0.730435,0.851485,0.831325,0.831081,0.8,0.874317,0.830508,0.574359,0.564417] f_measure 0.775874 [0.699029,0.817734,0.84472,0.871622,0.814371,0.84058,0.860759,0.507463,0.627451] f_measure 0.777303 [0.769953,0.830769,0.822157,0.808362,0.81761,0.873684,0.844262,0.591837,0.569697] f_measure 0.750157 [0.708134,0.791878,0.833856,0.788274,0.743243,0.854271,0.869198,0.522613,0.531073] f_measure 0.777018 [0.769912,0.79798,0.858974,0.8,0.786667,0.907216,0.806723,0.627451,0.548571] f_measure 0.768707 [0.727273,0.822967,0.839879,0.808362,0.76,0.89899,0.864629,0.557895,0.539326] f_measure 0.769815 [0.744395,0.769231,0.840491,0.833898,0.804734,0.85,0.858333,0.555556,0.573171] f_measure 0.771649 [0.780952,0.787565,0.797546,0.840391,0.812903,0.896552,0.854772,0.5,0.60355] f_measure 0.750228 [0.733945,0.776699,0.802548,0.742268,0.785714,0.90625,0.793249,0.593301,0.573248] f_measure 0.773329 [0.778281,0.806283,0.813056,0.796053,0.804878,0.925532,0.818565,0.538462,0.630952] f_measure 0.7918 [0.762332,0.808081,0.849398,0.852234,0.802548,0.874372,0.878261,0.586387,0.619883] f_measure 0.765437 [0.718894,0.811881,0.831325,0.791946,0.832215,0.905263,0.791489,0.584158,0.562874] f_measure 0.779092 [0.751131,0.825871,0.844037,0.804124,0.846154,0.865979,0.83105,0.561576,0.622222] f_measure 0.768603 [0.735043,0.80597,0.836478,0.802676,0.779874,0.864583,0.862069,0.529101,0.619048] kappa 0.754437 kappa 0.758101 kappa 0.738629 kappa 0.735065 kappa 0.738165 kappa 0.748613 kappa 0.770292 kappa 0.749107 kappa 0.738707 kappa 0.767981 kappa 0.731331 kappa 0.744089 kappa 0.726759 kappa 0.736069 kappa 0.750627 kappa 0.73166 kappa 0.777007 kappa 0.719783 kappa 0.717698 kappa 0.746293 kappa 0.730198 kappa 0.746317 kappa 0.747564 kappa 0.750892 kappa 0.753131 kappa 0.73598 kappa 0.735132 kappa 0.742722 kappa 0.746137 kappa 0.765815 kappa 0.770277 kappa 0.767946 kappa 0.767712 kappa 0.746706 kappa 0.766879 kappa 0.74517 kappa 0.750055 kappa 0.71672 kappa 0.756558 kappa 0.748503 kappa 0.740539 kappa 0.747262 kappa 0.73514 kappa 0.740495 kappa 0.729321 kappa 0.771467 kappa 0.779417 kappa 0.772704 kappa 0.724802 kappa 0.733815 kappa 0.738366 kappa 0.747234 kappa 0.75101 kappa 0.761102 kappa 0.769166 kappa 0.74614 kappa 0.734864 kappa 0.755444 kappa 0.7609 kappa 0.736875 kappa 0.746136 kappa 0.754553 kappa 0.749929 kappa 0.769021 kappa 0.742979 kappa 0.754237 kappa 0.747257 kappa 0.741713 kappa 0.772855 kappa 0.744876 kappa 0.766759 kappa 0.749836 kappa 0.750545 kappa 0.748505 kappa 0.730389 kappa 0.730383 kappa 0.7438 kappa 0.714435 kappa 0.760863 kappa 0.756638 kappa 0.756572 kappa 0.717716 kappa 0.753178 kappa 0.762301 kappa 0.744291 kappa 0.756613 kappa 0.746104 kappa 0.749813 kappa 0.749489 kappa 0.717814 kappa 0.746497 kappa 0.739526 kappa 0.744066 kappa 0.744992 kappa 0.718169 kappa 0.746002 kappa 0.765624 kappa 0.734712 kappa 0.748727 kappa 0.739552 kb_relative_information_score 758.92253 kb_relative_information_score 769.23773 kb_relative_information_score 748.632281 kb_relative_information_score 744.205326 kb_relative_information_score 751.404959 kb_relative_information_score 762.415838 kb_relative_information_score 783.15127 kb_relative_information_score 763.254909 kb_relative_information_score 753.340174 kb_relative_information_score 772.931924 kb_relative_information_score 744.518195 kb_relative_information_score 750.649956 kb_relative_information_score 744.543886 kb_relative_information_score 749.480296 kb_relative_information_score 752.671745 kb_relative_information_score 741.748621 kb_relative_information_score 776.272531 kb_relative_information_score 729.864977 kb_relative_information_score 735.642817 kb_relative_information_score 754.745877 kb_relative_information_score 746.895606 kb_relative_information_score 759.226023 kb_relative_information_score 756.62718 kb_relative_information_score 768.426751 kb_relative_information_score 764.619233 kb_relative_information_score 746.153108 kb_relative_information_score 747.921717 kb_relative_information_score 751.717815 kb_relative_information_score 758.247978 kb_relative_information_score 776.576501 kb_relative_information_score 777.596554 kb_relative_information_score 777.992539 kb_relative_information_score 771.96622 kb_relative_information_score 763.121734 kb_relative_information_score 770.223412 kb_relative_information_score 755.459756 kb_relative_information_score 763.939875 kb_relative_information_score 744.526176 kb_relative_information_score 760.919777 kb_relative_information_score 753.458371 kb_relative_information_score 748.118273 kb_relative_information_score 759.665801 kb_relative_information_score 738.384463 kb_relative_information_score 748.108645 kb_relative_information_score 736.452148 kb_relative_information_score 773.258533 kb_relative_information_score 782.368519 kb_relative_information_score 772.015397 kb_relative_information_score 737.261487 kb_relative_information_score 755.773918 kb_relative_information_score 752.205373 kb_relative_information_score 754.552323 kb_relative_information_score 755.42121 kb_relative_information_score 768.165624 kb_relative_information_score 769.0506 kb_relative_information_score 757.548217 kb_relative_information_score 749.429796 kb_relative_information_score 761.076015 kb_relative_information_score 777.278772 kb_relative_information_score 743.357992 kb_relative_information_score 764.774227 kb_relative_information_score 770.802972 kb_relative_information_score 760.175798 kb_relative_information_score 770.502659 kb_relative_information_score 748.202467 kb_relative_information_score 766.040383 kb_relative_information_score 756.713622 kb_relative_information_score 751.741155 kb_relative_information_score 783.434991 kb_relative_information_score 757.058939 kb_relative_information_score 779.317824 kb_relative_information_score 761.597323 kb_relative_information_score 757.859587 kb_relative_information_score 758.169424 kb_relative_information_score 740.440974 kb_relative_information_score 740.276724 kb_relative_information_score 749.370728 kb_relative_information_score 734.350975 kb_relative_information_score 774.224763 kb_relative_information_score 764.161339 kb_relative_information_score 774.701617 kb_relative_information_score 734.077887 kb_relative_information_score 765.136331 kb_relative_information_score 766.308582 kb_relative_information_score 757.349363 kb_relative_information_score 756.062512 kb_relative_information_score 748.967171 kb_relative_information_score 755.64336 kb_relative_information_score 758.936216 kb_relative_information_score 732.818757 kb_relative_information_score 747.412616 kb_relative_information_score 757.132789 kb_relative_information_score 761.784867 kb_relative_information_score 759.388823 kb_relative_information_score 736.009276 kb_relative_information_score 759.248256 kb_relative_information_score 775.64853 kb_relative_information_score 749.183928 kb_relative_information_score 752.994816 kb_relative_information_score 756.774317 mean_absolute_error 0.058602 mean_absolute_error 0.055752 mean_absolute_error 0.060427 mean_absolute_error 0.061511 mean_absolute_error 0.059724 mean_absolute_error 0.058235 mean_absolute_error 0.052781 mean_absolute_error 0.056973 mean_absolute_error 0.06043 mean_absolute_error 0.055583 mean_absolute_error 0.060647 mean_absolute_error 0.059892 mean_absolute_error 0.062022 mean_absolute_error 0.059153 mean_absolute_error 0.059074 mean_absolute_error 0.062838 mean_absolute_error 0.054676 mean_absolute_error 0.063444 mean_absolute_error 0.063011 mean_absolute_error 0.058012 mean_absolute_error 0.060254 mean_absolute_error 0.05766 mean_absolute_error 0.057194 mean_absolute_error 0.05616 mean_absolute_error 0.056185 mean_absolute_error 0.060544 mean_absolute_error 0.06102 mean_absolute_error 0.060533 mean_absolute_error 0.057625 mean_absolute_error 0.054904 mean_absolute_error 0.054044 mean_absolute_error 0.05498 mean_absolute_error 0.055595 mean_absolute_error 0.058378 mean_absolute_error 0.055601 mean_absolute_error 0.059033 mean_absolute_error 0.057729 mean_absolute_error 0.06165 mean_absolute_error 0.058124 mean_absolute_error 0.059785 mean_absolute_error 0.060265 mean_absolute_error 0.057191 mean_absolute_error 0.06215 mean_absolute_error 0.060009 mean_absolute_error 0.062777 mean_absolute_error 0.056259 mean_absolute_error 0.054138 mean_absolute_error 0.054988 mean_absolute_error 0.061831 mean_absolute_error 0.058206 mean_absolute_error 0.059196 mean_absolute_error 0.059667 mean_absolute_error 0.05932 mean_absolute_error 0.057068 mean_absolute_error 0.055648 mean_absolute_error 0.0583 mean_absolute_error 0.060357 mean_absolute_error 0.058753 mean_absolute_error 0.054295 mean_absolute_error 0.060665 mean_absolute_error 0.056413 mean_absolute_error 0.056383 mean_absolute_error 0.056762 mean_absolute_error 0.055607 mean_absolute_error 0.060134 mean_absolute_error 0.057139 mean_absolute_error 0.058678 mean_absolute_error 0.060294 mean_absolute_error 0.052755 mean_absolute_error 0.058904 mean_absolute_error 0.054069 mean_absolute_error 0.057236 mean_absolute_error 0.05785 mean_absolute_error 0.057449 mean_absolute_error 0.062016 mean_absolute_error 0.061859 mean_absolute_error 0.060507 mean_absolute_error 0.062757 mean_absolute_error 0.055115 mean_absolute_error 0.057302 mean_absolute_error 0.054706 mean_absolute_error 0.063012 mean_absolute_error 0.057169 mean_absolute_error 0.056484 mean_absolute_error 0.058845 mean_absolute_error 0.058236 mean_absolute_error 0.060244 mean_absolute_error 0.058897 mean_absolute_error 0.057822 mean_absolute_error 0.063842 mean_absolute_error 0.061066 mean_absolute_error 0.05858 mean_absolute_error 0.057895 mean_absolute_error 0.057778 mean_absolute_error 0.063415 mean_absolute_error 0.058837 mean_absolute_error 0.054417 mean_absolute_error 0.059139 mean_absolute_error 0.060452 mean_absolute_error 0.05886 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 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 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 0.783181 [0.706897,0.813187,0.837349,0.854167,0.851351,0.893617,0.783582,0.634409,0.611765] precision 0.788623 [0.783784,0.842105,0.847134,0.818792,0.797468,0.907216,0.884956,0.544554,0.589474] precision 0.768925 [0.775701,0.80198,0.760736,0.828767,0.752941,0.893617,0.831933,0.60177,0.623188] precision 0.76482 [0.752137,0.766355,0.848101,0.748387,0.797297,0.893617,0.819672,0.554455,0.652174] precision 0.767694 [0.709677,0.773196,0.792135,0.793333,0.876712,0.880435,0.841667,0.561224,0.661538] precision 0.776693 [0.770492,0.840426,0.843373,0.767296,0.74026,0.933333,0.878261,0.569892,0.567901] precision 0.795087 [0.783019,0.864583,0.841463,0.803797,0.804878,0.914894,0.830645,0.62,0.643836] precision 0.777979 [0.730435,0.808081,0.871622,0.812081,0.8125,0.892157,0.841667,0.575758,0.564706] precision 0.766459 [0.710526,0.777778,0.815951,0.806897,0.767442,0.875,0.895652,0.556818,0.609756] precision 0.793806 [0.74359,0.794118,0.803468,0.813333,0.853333,0.876289,0.884956,0.647727,0.707317] precision 0.760066 [0.752212,0.813725,0.815951,0.790123,0.794521,0.903226,0.834783,0.511628,0.550562] precision 0.773924 [0.772727,0.835052,0.84106,0.782609,0.759036,0.93617,0.768595,0.625,0.578313] precision 0.755152 [0.758929,0.88172,0.820988,0.745223,0.820513,0.843137,0.761905,0.5625,0.557143] precision 0.764677 [0.739496,0.808511,0.798817,0.830986,0.704545,0.887755,0.8,0.606742,0.623377] precision 0.778087 [0.725664,0.836538,0.820359,0.802632,0.84058,0.848485,0.85124,0.530612,0.712329] precision 0.76257 [0.735294,0.76699,0.83432,0.851064,0.780488,0.852941,0.828829,0.568421,0.527473] precision 0.803208 [0.747664,0.846154,0.837349,0.86,0.782051,0.84,0.90678,0.688172,0.634409] precision 0.752886 [0.672,0.793814,0.817647,0.798701,0.683544,0.911111,0.808696,0.556604,0.65] precision 0.746348 [0.716814,0.822222,0.810127,0.771084,0.740741,0.854369,0.777778,0.61039,0.536585] precision 0.777001 [0.769231,0.81,0.814103,0.811688,0.857143,0.925532,0.78626,0.6,0.576087] precision 0.761195 [0.675214,0.823529,0.782353,0.832168,0.75,0.89,0.798319,0.575472,0.671642] precision 0.775143 [0.766355,0.817308,0.839286,0.830882,0.786667,0.90099,0.85124,0.517857,0.569444] precision 0.777236 [0.691057,0.803922,0.878049,0.875969,0.805556,0.876289,0.816794,0.554348,0.569767] precision 0.778867 [0.720721,0.875,0.822086,0.836879,0.835616,0.810811,0.829268,0.607477,0.605634] precision 0.784933 [0.695652,0.842697,0.878205,0.819876,0.779221,0.875,0.9,0.574257,0.593407] precision 0.762993 [0.733945,0.745455,0.798817,0.829932,0.746988,0.846154,0.86087,0.572917,0.650794] precision 0.763961 [0.7,0.745614,0.819355,0.82069,0.772152,0.87,0.811475,0.62069,0.642857] precision 0.773864 [0.725806,0.763636,0.858974,0.783439,0.863636,0.931034,0.826446,0.594059,0.554054] precision 0.771216 [0.72,0.828283,0.858025,0.76129,0.794521,0.891089,0.85,0.595506,0.569444] precision 0.794766 [0.738739,0.824176,0.85443,0.827586,0.790123,0.916667,0.852459,0.666667,0.604167] precision 0.795866 [0.8125,0.814433,0.820988,0.821918,0.822785,0.89,0.880342,0.602151,0.644444] precision 0.796966 [0.754717,0.873684,0.815476,0.816327,0.823529,0.86,0.915094,0.6,0.670886] precision 0.791433 [0.732283,0.8,0.824561,0.801325,0.868421,0.883495,0.863636,0.675,0.643836] precision 0.777007 [0.704762,0.769912,0.853503,0.842105,0.788235,0.926316,0.825,0.588235,0.604651] precision 0.795805 [0.752294,0.838384,0.836364,0.843972,0.853333,0.91,0.848214,0.584906,0.640449] precision 0.771283 [0.739496,0.826923,0.803681,0.832168,0.87013,0.813725,0.836066,0.552083,0.614286] precision 0.7809 [0.772277,0.821782,0.836601,0.876812,0.759494,0.844037,0.842975,0.570175,0.5875] precision 0.750402 [0.740741,0.804124,0.819355,0.742331,0.759494,0.934783,0.789916,0.542553,0.561798] precision 0.785137 [0.822917,0.833333,0.822086,0.828947,0.732558,0.903846,0.813008,0.561905,0.675325] precision 0.774041 [0.736364,0.85,0.844311,0.798658,0.768293,0.88785,0.814159,0.55,0.647059] precision 0.769004 [0.724771,0.795918,0.803571,0.781457,0.77381,0.868687,0.876106,0.614583,0.628205] precision 0.773173 [0.72,0.797872,0.819767,0.819444,0.78481,0.90099,0.809917,0.586957,0.661765] precision 0.771895 [0.706897,0.827957,0.826087,0.842857,0.739726,0.89899,0.859813,0.560345,0.582418] precision 0.77213 [0.695652,0.806122,0.82716,0.763975,0.763158,0.914894,0.926606,0.581633,0.60241] precision 0.763078 [0.754545,0.8125,0.798883,0.832,0.766234,0.830189,0.883929,0.504762,0.593023] precision 0.798406 [0.769912,0.833333,0.822785,0.833333,0.835821,0.932039,0.809524,0.631068,0.686047] precision 0.807394 [0.752212,0.836538,0.825,0.861111,0.847222,0.919192,0.889908,0.603774,0.685393] precision 0.801728 [0.720339,0.826531,0.870968,0.869565,0.859155,0.888889,0.846774,0.616162,0.638298] precision 0.757698 [0.733333,0.761905,0.834395,0.823944,0.811594,0.882353,0.842105,0.521739,0.5] precision 0.766016 [0.740741,0.831579,0.806061,0.798658,0.887324,0.90625,0.840336,0.477273,0.561905] precision 0.766474 [0.765766,0.783019,0.837662,0.775641,0.775,0.888889,0.798319,0.59596,0.611111] precision 0.775875 [0.75,0.860215,0.848485,0.786667,0.811594,0.83,0.810606,0.567308,0.661972] precision 0.778186 [0.839623,0.764151,0.786982,0.809859,0.802326,0.91,0.888889,0.517241,0.630435] precision 0.787153 [0.726496,0.895833,0.820359,0.794521,0.883117,0.865385,0.834783,0.619048,0.622222] precision 0.797652 [0.761062,0.798165,0.813953,0.921875,0.728395,0.967391,0.853659,0.637363,0.586207] precision 0.775695 [0.7,0.877778,0.829412,0.825503,0.733333,0.887755,0.85,0.575472,0.615385] precision 0.763554 [0.71875,0.71028,0.815951,0.798658,0.721519,0.870968,0.857143,0.623377,0.679012] precision 0.782806 [0.808081,0.708661,0.820809,0.814815,0.831169,0.866667,0.843478,0.659341,0.635135] precision 0.787124 [0.741379,0.838095,0.843373,0.786164,0.835616,0.905263,0.828829,0.673913,0.582278] precision 0.761002 [0.720339,0.8125,0.808989,0.798658,0.848101,0.841121,0.840708,0.548387,0.571429] precision 0.773259 [0.669355,0.789474,0.863354,0.795031,0.734177,0.929293,0.868421,0.604651,0.61039] precision 0.784604 [0.730435,0.756522,0.843537,0.816993,0.802469,0.894737,0.889908,0.621053,0.627907] precision 0.780942 [0.735294,0.743119,0.883117,0.816327,0.732558,0.907216,0.857143,0.550459,0.69863] precision 0.796524 [0.737288,0.906977,0.818713,0.885714,0.831169,0.89,0.885246,0.547368,0.586207] precision 0.770594 [0.767857,0.793478,0.871951,0.788732,0.741176,0.891089,0.842975,0.564356,0.564103] precision 0.783747 [0.727273,0.85567,0.829412,0.832168,0.77381,0.923077,0.862069,0.583333,0.584416] precision 0.774973 [0.778761,0.826087,0.812121,0.754717,0.824324,0.920792,0.87069,0.577778,0.569767] precision 0.767844 [0.775701,0.814433,0.806061,0.84106,0.792683,0.87,0.792,0.580247,0.556818] precision 0.801108 [0.741379,0.815534,0.875,0.898438,0.728261,0.896907,0.866667,0.670213,0.581395] precision 0.773549 [0.763636,0.838384,0.782123,0.806667,0.807692,0.879121,0.830357,0.653465,0.552632] precision 0.79631 [0.743363,0.83,0.832335,0.82,0.767442,0.942529,0.909091,0.59434,0.662338] precision 0.777951 [0.732759,0.8,0.843137,0.807947,0.794872,0.914894,0.848,0.571429,0.613636] precision 0.775873 [0.719626,0.833333,0.817647,0.781818,0.802326,0.907216,0.816667,0.630952,0.636364] precision 0.777391 [0.671875,0.776699,0.865385,0.794872,0.818182,0.901099,0.898305,0.569892,0.621622] precision 0.759431 [0.717172,0.826531,0.838509,0.767296,0.764045,0.916667,0.820513,0.552083,0.555556] precision 0.761735 [0.659259,0.760417,0.779762,0.870504,0.777778,0.92,0.888889,0.57732,0.527778] precision 0.770496 [0.756757,0.764151,0.797753,0.813333,0.820513,0.897959,0.87037,0.585366,0.564706] precision 0.742186 [0.716667,0.787234,0.8,0.786164,0.772152,0.834862,0.822581,0.505263,0.575758] precision 0.786779 [0.708661,0.858696,0.809249,0.84,0.8375,0.913978,0.837607,0.597701,0.636364] precision 0.787144 [0.669355,0.792453,0.86875,0.826087,0.72093,0.955556,0.81746,0.63,0.727273] precision 0.784303 [0.745283,0.826531,0.808383,0.825175,0.728395,0.91,0.864407,0.62963,0.653333] precision 0.750348 [0.736842,0.759615,0.793103,0.786207,0.7625,0.918605,0.818966,0.510638,0.60241] precision 0.781666 [0.698276,0.875,0.849673,0.828025,0.732558,0.916667,0.810606,0.670732,0.55814] precision 0.788896 [0.77551,0.835165,0.872611,0.784314,0.807229,0.903846,0.811024,0.63,0.614458] precision 0.770251 [0.794118,0.787037,0.821656,0.841379,0.691489,0.884615,0.806452,0.583333,0.615385] precision 0.785032 [0.70339,0.815534,0.847134,0.865772,0.766234,0.887755,0.867257,0.598039,0.607595] precision 0.774298 [0.7,0.834951,0.807018,0.825503,0.805195,0.91954,0.823529,0.595745,0.605263] precision 0.776437 [0.742268,0.798077,0.85,0.865772,0.764045,0.783784,0.85,0.515152,0.716418] precision 0.777369 [0.788462,0.84375,0.779006,0.834532,0.802469,0.882979,0.811024,0.610526,0.594937] precision 0.750645 [0.74,0.795918,0.841772,0.761006,0.785714,0.825243,0.858333,0.536082,0.516484] precision 0.778738 [0.74359,0.806122,0.887417,0.797297,0.819444,0.907216,0.793388,0.621359,0.539326] precision 0.768945 [0.720721,0.788991,0.817647,0.828571,0.791667,0.872549,0.883929,0.595506,0.527473] precision 0.768981 [0.72807,0.789474,0.830303,0.831081,0.747253,0.817308,0.837398,0.632911,0.61039] precision 0.770163 [0.811881,0.808511,0.792683,0.811321,0.818182,0.850467,0.830645,0.54023,0.614458] precision 0.751417 [0.733945,0.747664,0.823529,0.75,0.741573,0.915789,0.783333,0.574074,0.633803] precision 0.773168 [0.767857,0.836957,0.782857,0.775641,0.767442,0.945652,0.808333,0.604938,0.646341] precision 0.791361 [0.745614,0.808081,0.824561,0.861111,0.807692,0.852941,0.893805,0.622222,0.623529] precision 0.7655 [0.728972,0.796117,0.811765,0.781457,0.873239,0.914894,0.788136,0.584158,0.580247] precision 0.781386 [0.741071,0.813725,0.836364,0.818182,0.846154,0.857143,0.892157,0.558824,0.595745] precision 0.768575 [0.688,0.794118,0.847134,0.794702,0.775,0.864583,0.869565,0.568182,0.634146] predictive_accuracy 0.78335 predictive_accuracy 0.786359 predictive_accuracy 0.769308 predictive_accuracy 0.766299 predictive_accuracy 0.769308 predictive_accuracy 0.778335 predictive_accuracy 0.797392 predictive_accuracy 0.778335 predictive_accuracy 0.769308 predictive_accuracy 0.795386 predictive_accuracy 0.763052 predictive_accuracy 0.774096 predictive_accuracy 0.759036 predictive_accuracy 0.767068 predictive_accuracy 0.78012 predictive_accuracy 0.763052 predictive_accuracy 0.803213 predictive_accuracy 0.753012 predictive_accuracy 0.751004 predictive_accuracy 0.776104 predictive_accuracy 0.762048 predictive_accuracy 0.776104 predictive_accuracy 0.777108 predictive_accuracy 0.78012 predictive_accuracy 0.782129 predictive_accuracy 0.767068 predictive_accuracy 0.766064 predictive_accuracy 0.773092 predictive_accuracy 0.776104 predictive_accuracy 0.793173 predictive_accuracy 0.797189 predictive_accuracy 0.795181 predictive_accuracy 0.795181 predictive_accuracy 0.776104 predictive_accuracy 0.794177 predictive_accuracy 0.7751 predictive_accuracy 0.779116 predictive_accuracy 0.75 predictive_accuracy 0.785141 predictive_accuracy 0.778112 predictive_accuracy 0.771084 predictive_accuracy 0.777108 predictive_accuracy 0.766064 predictive_accuracy 0.771084 predictive_accuracy 0.761044 predictive_accuracy 0.798193 predictive_accuracy 0.805221 predictive_accuracy 0.799197 predictive_accuracy 0.757028 predictive_accuracy 0.76506 predictive_accuracy 0.769076 predictive_accuracy 0.777108 predictive_accuracy 0.78012 predictive_accuracy 0.789157 predictive_accuracy 0.796185 predictive_accuracy 0.776104 predictive_accuracy 0.766064 predictive_accuracy 0.784137 predictive_accuracy 0.789157 predictive_accuracy 0.768072 predictive_accuracy 0.776104 predictive_accuracy 0.783133 predictive_accuracy 0.779116 predictive_accuracy 0.796185 predictive_accuracy 0.773092 predictive_accuracy 0.783133 predictive_accuracy 0.777108 predictive_accuracy 0.772088 predictive_accuracy 0.799197 predictive_accuracy 0.7751 predictive_accuracy 0.794177 predictive_accuracy 0.779116 predictive_accuracy 0.78012 predictive_accuracy 0.778112 predictive_accuracy 0.762048 predictive_accuracy 0.762048 predictive_accuracy 0.774096 predictive_accuracy 0.747992 predictive_accuracy 0.789157 predictive_accuracy 0.785141 predictive_accuracy 0.785141 predictive_accuracy 0.751004 predictive_accuracy 0.782129 predictive_accuracy 0.790161 predictive_accuracy 0.774096 predictive_accuracy 0.785141 predictive_accuracy 0.776104 predictive_accuracy 0.779116 predictive_accuracy 0.779116 predictive_accuracy 0.751004 predictive_accuracy 0.776104 predictive_accuracy 0.77008 predictive_accuracy 0.774096 predictive_accuracy 0.7751 predictive_accuracy 0.751004 predictive_accuracy 0.776104 predictive_accuracy 0.793173 predictive_accuracy 0.766064 predictive_accuracy 0.778112 predictive_accuracy 0.77008 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 0.78335 [0.752294,0.747475,0.863354,0.831081,0.797468,0.875,0.897436,0.578431,0.604651] recall 0.786359 [0.790909,0.808081,0.820988,0.829932,0.807692,0.916667,0.854701,0.539216,0.651163] recall 0.769308 [0.754545,0.818182,0.765432,0.823129,0.820513,0.875,0.846154,0.666667,0.5] recall 0.766299 [0.807339,0.828283,0.82716,0.783784,0.75641,0.875,0.854701,0.54902,0.523256] recall 0.769308 [0.8,0.757576,0.875776,0.804054,0.810127,0.84375,0.863248,0.544554,0.5] recall 0.778335 [0.854545,0.79798,0.869565,0.824324,0.730769,0.875,0.863248,0.524752,0.528736] recall 0.797392 [0.761468,0.838384,0.857143,0.863946,0.835443,0.886598,0.880342,0.607843,0.546512] recall 0.778335 [0.763636,0.808081,0.801242,0.817568,0.833333,0.947917,0.863248,0.564356,0.551724] recall 0.769308 [0.743119,0.84,0.820988,0.790541,0.846154,0.875,0.880342,0.485149,0.581395] recall 0.795386 [0.798165,0.818182,0.858025,0.829932,0.810127,0.885417,0.854701,0.564356,0.666667] recall 0.763052 [0.779817,0.838384,0.826087,0.864865,0.734177,0.875,0.820513,0.435644,0.569767] recall 0.774096 [0.772727,0.818182,0.783951,0.857143,0.807692,0.916667,0.794872,0.594059,0.55814] recall 0.759036 [0.772727,0.828283,0.820988,0.795918,0.820513,0.895833,0.820513,0.534653,0.453488] recall 0.767068 [0.807339,0.767677,0.838509,0.797297,0.78481,0.90625,0.820513,0.534653,0.55814] recall 0.78012 [0.745455,0.878788,0.850932,0.824324,0.74359,0.875,0.880342,0.514851,0.604651] recall 0.763052 [0.681818,0.79,0.875776,0.816327,0.820513,0.90625,0.786325,0.534653,0.55814] recall 0.803213 [0.733945,0.777778,0.863354,0.871622,0.782051,0.865979,0.91453,0.633663,0.686047] recall 0.753012 [0.763636,0.777778,0.863354,0.831081,0.692308,0.854167,0.794872,0.584158,0.453488] recall 0.751004 [0.736364,0.747475,0.795031,0.870748,0.759494,0.916667,0.837607,0.465347,0.511628] recall 0.776104 [0.733945,0.81,0.783951,0.85034,0.769231,0.90625,0.880342,0.564356,0.616279] recall 0.762048 [0.718182,0.848485,0.826087,0.804054,0.692308,0.927083,0.811966,0.60396,0.523256] recall 0.776104 [0.745455,0.858586,0.87037,0.768707,0.75641,0.947917,0.880342,0.574257,0.476744] recall 0.777108 [0.772727,0.828283,0.888889,0.768707,0.74359,0.885417,0.91453,0.50495,0.569767] recall 0.78012 [0.733945,0.84,0.832298,0.802721,0.772152,0.9375,0.871795,0.643564,0.5] recall 0.782129 [0.727273,0.757576,0.850932,0.891892,0.769231,0.875,0.846154,0.574257,0.627907] recall 0.767068 [0.727273,0.828283,0.838509,0.829932,0.78481,0.916667,0.846154,0.544554,0.476744] recall 0.766064 [0.706422,0.85,0.78882,0.804054,0.782051,0.90625,0.846154,0.534653,0.627907] recall 0.773092 [0.818182,0.848485,0.832298,0.831081,0.730769,0.84375,0.854701,0.594059,0.476744] recall 0.776104 [0.818182,0.828283,0.863354,0.802721,0.734177,0.9375,0.871795,0.524752,0.476744] recall 0.793173 [0.745455,0.757576,0.833333,0.816327,0.820513,0.916667,0.888889,0.633663,0.674419] recall 0.797189 [0.827273,0.79798,0.820988,0.816327,0.833333,0.927083,0.880342,0.554455,0.674419] recall 0.795181 [0.727273,0.838384,0.845679,0.816327,0.897436,0.895833,0.82906,0.653465,0.616279] recall 0.795181 [0.845455,0.848485,0.87037,0.823129,0.846154,0.947917,0.811966,0.534653,0.546512] recall 0.776104 [0.672727,0.878788,0.832298,0.761905,0.858974,0.916667,0.846154,0.594059,0.597701] recall 0.794177 [0.745455,0.838384,0.851852,0.809524,0.820513,0.947917,0.811966,0.613861,0.662791] recall 0.7751 [0.8,0.868687,0.813665,0.809524,0.848101,0.864583,0.871795,0.524752,0.5] recall 0.779116 [0.709091,0.838384,0.795031,0.817568,0.769231,0.958333,0.871795,0.643564,0.546512] recall 0.75 [0.727273,0.787879,0.78882,0.823129,0.759494,0.895833,0.803419,0.50495,0.581395] recall 0.785141 [0.718182,0.757576,0.832298,0.857143,0.807692,0.969072,0.854701,0.584158,0.604651] recall 0.778112 [0.736364,0.858586,0.87037,0.809524,0.807692,0.989583,0.786325,0.544554,0.511628] recall 0.771084 [0.718182,0.787879,0.833333,0.802721,0.833333,0.895833,0.846154,0.584158,0.569767] recall 0.777108 [0.818182,0.757576,0.875776,0.802721,0.78481,0.947917,0.837607,0.534653,0.523256] recall 0.766064 [0.745455,0.777778,0.826087,0.802721,0.692308,0.917526,0.786325,0.643564,0.616279] recall 0.771084 [0.727273,0.79798,0.832298,0.836735,0.74359,0.886598,0.863248,0.564356,0.581395] recall 0.761044 [0.754545,0.787879,0.882716,0.707483,0.75641,0.916667,0.846154,0.524752,0.593023] recall 0.798193 [0.790909,0.858586,0.807453,0.782313,0.717949,0.989691,0.871795,0.643564,0.686047] recall 0.805221 [0.772727,0.878788,0.814815,0.843537,0.782051,0.947917,0.82906,0.633663,0.709302] recall 0.799197 [0.772727,0.818182,0.838509,0.816327,0.772152,0.916667,0.897436,0.60396,0.697674] recall 0.757028 [0.8,0.808081,0.813665,0.795918,0.717949,0.927835,0.820513,0.594059,0.418605] recall 0.76506 [0.727273,0.79798,0.826087,0.809524,0.807692,0.896907,0.854701,0.415842,0.686047] recall 0.769076 [0.772727,0.838384,0.796296,0.823129,0.794872,0.916667,0.811966,0.584158,0.511628] recall 0.777108 [0.763636,0.808081,0.869565,0.802721,0.708861,0.864583,0.91453,0.584158,0.546512] recall 0.78012 [0.809091,0.818182,0.826087,0.782313,0.884615,0.938144,0.820513,0.445545,0.674419] recall 0.789157 [0.772727,0.868687,0.850932,0.789116,0.871795,0.927835,0.820513,0.514851,0.651163] recall 0.796185 [0.781818,0.878788,0.864198,0.802721,0.75641,0.927083,0.897436,0.574257,0.593023] recall 0.776104 [0.7,0.79798,0.875776,0.836735,0.705128,0.896907,0.871795,0.60396,0.55814] recall 0.766064 [0.836364,0.767677,0.820988,0.809524,0.730769,0.84375,0.871795,0.475248,0.639535] recall 0.784137 [0.733945,0.9,0.881988,0.748299,0.820513,0.938144,0.82906,0.594059,0.546512] recall 0.789157 [0.781818,0.888889,0.869565,0.85034,0.782051,0.886598,0.786325,0.613861,0.534884] recall 0.768072 [0.772727,0.787879,0.89441,0.809524,0.858974,0.927835,0.811966,0.50495,0.418605] recall 0.776104 [0.754545,0.757576,0.858025,0.870748,0.74359,0.958333,0.846154,0.514851,0.546512] recall 0.783133 [0.770642,0.878788,0.770186,0.844595,0.833333,0.876289,0.82906,0.584158,0.627907] recall 0.779116 [0.688073,0.818182,0.84472,0.810811,0.807692,0.907216,0.871795,0.594059,0.593023] recall 0.796185 [0.790909,0.787879,0.869565,0.843537,0.820513,0.917526,0.923077,0.514851,0.593023] recall 0.773092 [0.788991,0.737374,0.882716,0.761905,0.807692,0.9375,0.871795,0.564356,0.505747] recall 0.783133 [0.733945,0.838384,0.87037,0.809524,0.833333,0.865979,0.854701,0.623762,0.523256] recall 0.777108 [0.8,0.767677,0.82716,0.816327,0.782051,0.96875,0.863248,0.514851,0.569767] recall 0.772088 [0.761468,0.79798,0.820988,0.863946,0.833333,0.896907,0.846154,0.465347,0.569767] recall 0.799197 [0.781818,0.848485,0.869565,0.782313,0.858974,0.90625,0.888889,0.617647,0.581395] recall 0.7751 [0.763636,0.838384,0.869565,0.823129,0.807692,0.824742,0.794872,0.653465,0.488372] recall 0.794177 [0.763636,0.838384,0.863354,0.836735,0.846154,0.845361,0.854701,0.623762,0.593023] recall 0.779116 [0.779817,0.808081,0.801242,0.824324,0.794872,0.886598,0.905983,0.514851,0.627907] recall 0.78012 [0.706422,0.757576,0.863354,0.871622,0.873418,0.916667,0.837607,0.524752,0.569767] recall 0.778112 [0.781818,0.808081,0.833333,0.843537,0.807692,0.854167,0.905983,0.524752,0.534884] recall 0.762048 [0.651376,0.818182,0.838509,0.829932,0.871795,0.907216,0.820513,0.519608,0.523256] recall 0.762048 [0.816514,0.737374,0.808642,0.823129,0.807692,0.958333,0.820513,0.54902,0.44186] recall 0.774096 [0.763636,0.818182,0.876543,0.829932,0.820513,0.916667,0.803419,0.475248,0.55814] recall 0.747992 [0.788991,0.747475,0.740741,0.85034,0.782051,0.938144,0.871795,0.475248,0.44186] recall 0.789157 [0.825688,0.79798,0.864198,0.857143,0.858974,0.885417,0.837607,0.514851,0.563218] recall 0.785141 [0.754545,0.848485,0.863354,0.77027,0.794872,0.895833,0.880342,0.623762,0.55814] recall 0.785141 [0.724771,0.818182,0.838509,0.802721,0.75641,0.938144,0.871795,0.673267,0.563218] recall 0.751004 [0.770642,0.79798,0.857143,0.77027,0.782051,0.814433,0.811966,0.475248,0.581395] recall 0.782129 [0.743119,0.777778,0.807453,0.878378,0.797468,0.916667,0.91453,0.544554,0.55814] recall 0.790161 [0.690909,0.767677,0.845679,0.816327,0.858974,0.979167,0.880342,0.623762,0.593023] recall 0.774096 [0.743119,0.85,0.801242,0.829932,0.833333,0.948454,0.854701,0.485149,0.55814] recall 0.785141 [0.761468,0.848485,0.820988,0.871622,0.75641,0.90625,0.837607,0.60396,0.55814] recall 0.776104 [0.763636,0.868687,0.857143,0.836735,0.794872,0.833333,0.837607,0.554455,0.528736] recall 0.779116 [0.66055,0.838384,0.839506,0.877551,0.871795,0.90625,0.871795,0.5,0.55814] recall 0.779116 [0.752294,0.818182,0.87037,0.783784,0.833333,0.864583,0.880342,0.574257,0.546512] recall 0.751004 [0.678899,0.787879,0.826087,0.817568,0.705128,0.885417,0.880342,0.509804,0.546512] recall 0.776104 [0.798165,0.79,0.832298,0.802721,0.75641,0.907216,0.820513,0.633663,0.55814] recall 0.77008 [0.733945,0.86,0.863354,0.789116,0.730769,0.927083,0.846154,0.524752,0.551724] recall 0.774096 [0.761468,0.75,0.850932,0.836735,0.871795,0.885417,0.880342,0.49505,0.54023] recall 0.7751 [0.752294,0.767677,0.802469,0.871622,0.807692,0.947917,0.880342,0.465347,0.593023] recall 0.751004 [0.733945,0.808081,0.782609,0.734694,0.835443,0.896907,0.803419,0.613861,0.523256] recall 0.776104 [0.788991,0.777778,0.845679,0.817568,0.846154,0.90625,0.82906,0.485149,0.616279] recall 0.793173 [0.779817,0.808081,0.875776,0.843537,0.797468,0.896907,0.863248,0.554455,0.616279] recall 0.766064 [0.709091,0.828283,0.851852,0.802721,0.794872,0.895833,0.794872,0.584158,0.546512] recall 0.778112 [0.761468,0.838384,0.851852,0.790541,0.846154,0.875,0.777778,0.564356,0.651163] recall 0.77008 [0.788991,0.818182,0.826087,0.810811,0.78481,0.864583,0.854701,0.49505,0.604651] relative_absolute_error 0.298708 relative_absolute_error 0.284196 relative_absolute_error 0.308031 relative_absolute_error 0.313569 relative_absolute_error 0.304431 relative_absolute_error 0.296844 relative_absolute_error 0.269025 relative_absolute_error 0.290409 relative_absolute_error 0.308058 relative_absolute_error 0.283323 relative_absolute_error 0.309138 relative_absolute_error 0.305306 relative_absolute_error 0.316166 relative_absolute_error 0.301522 relative_absolute_error 0.301134 relative_absolute_error 0.320302 relative_absolute_error 0.27871 relative_absolute_error 0.323407 relative_absolute_error 0.321175 relative_absolute_error 0.295722 relative_absolute_error 0.307145 relative_absolute_error 0.293929 relative_absolute_error 0.291552 relative_absolute_error 0.286252 relative_absolute_error 0.286407 relative_absolute_error 0.308599 relative_absolute_error 0.311047 relative_absolute_error 0.308568 relative_absolute_error 0.293722 relative_absolute_error 0.279879 relative_absolute_error 0.275496 relative_absolute_error 0.280265 relative_absolute_error 0.2834 relative_absolute_error 0.297562 relative_absolute_error 0.283434 relative_absolute_error 0.3009 relative_absolute_error 0.294275 relative_absolute_error 0.314236 relative_absolute_error 0.29627 relative_absolute_error 0.30476 relative_absolute_error 0.307207 relative_absolute_error 0.29151 relative_absolute_error 0.316795 relative_absolute_error 0.305882 relative_absolute_error 0.320013 relative_absolute_error 0.286764 relative_absolute_error 0.275974 relative_absolute_error 0.280281 relative_absolute_error 0.315167 relative_absolute_error 0.296688 relative_absolute_error 0.30176 relative_absolute_error 0.304131 relative_absolute_error 0.302369 relative_absolute_error 0.290891 relative_absolute_error 0.283672 relative_absolute_error 0.297172 relative_absolute_error 0.307675 relative_absolute_error 0.299475 relative_absolute_error 0.276753 relative_absolute_error 0.309222 relative_absolute_error 0.28757 relative_absolute_error 0.287409 relative_absolute_error 0.289341 relative_absolute_error 0.283442 relative_absolute_error 0.306533 relative_absolute_error 0.291267 relative_absolute_error 0.299115 relative_absolute_error 0.307351 relative_absolute_error 0.268905 relative_absolute_error 0.30025 relative_absolute_error 0.275603 relative_absolute_error 0.291761 relative_absolute_error 0.29488 relative_absolute_error 0.292854 relative_absolute_error 0.316109 relative_absolute_error 0.315331 relative_absolute_error 0.30844 relative_absolute_error 0.319906 relative_absolute_error 0.280947 relative_absolute_error 0.2921 relative_absolute_error 0.278843 relative_absolute_error 0.321199 relative_absolute_error 0.291411 relative_absolute_error 0.287935 relative_absolute_error 0.299945 relative_absolute_error 0.296878 relative_absolute_error 0.307076 relative_absolute_error 0.300234 relative_absolute_error 0.294768 relative_absolute_error 0.325434 relative_absolute_error 0.311265 relative_absolute_error 0.298587 relative_absolute_error 0.295096 relative_absolute_error 0.294543 relative_absolute_error 0.323231 relative_absolute_error 0.299943 relative_absolute_error 0.277366 relative_absolute_error 0.301466 relative_absolute_error 0.308174 relative_absolute_error 0.300029 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 0.199287 root_mean_squared_error 0.196978 root_mean_squared_error 0.206204 root_mean_squared_error 0.207739 root_mean_squared_error 0.203081 root_mean_squared_error 0.198761 root_mean_squared_error 0.189912 root_mean_squared_error 0.199121 root_mean_squared_error 0.201646 root_mean_squared_error 0.194023 root_mean_squared_error 0.205258 root_mean_squared_error 0.205795 root_mean_squared_error 0.206314 root_mean_squared_error 0.204809 root_mean_squared_error 0.20174 root_mean_squared_error 0.20662 root_mean_squared_error 0.190737 root_mean_squared_error 0.209833 root_mean_squared_error 0.209497 root_mean_squared_error 0.2035 root_mean_squared_error 0.205526 root_mean_squared_error 0.200858 root_mean_squared_error 0.200372 root_mean_squared_error 0.196631 root_mean_squared_error 0.195508 root_mean_squared_error 0.20299 root_mean_squared_error 0.2051 root_mean_squared_error 0.200204 root_mean_squared_error 0.200645 root_mean_squared_error 0.19244 root_mean_squared_error 0.191595 root_mean_squared_error 0.191743 root_mean_squared_error 0.193597 root_mean_squared_error 0.199304 root_mean_squared_error 0.196779 root_mean_squared_error 0.20146 root_mean_squared_error 0.195816 root_mean_squared_error 0.206393 root_mean_squared_error 0.197517 root_mean_squared_error 0.201157 root_mean_squared_error 0.205388 root_mean_squared_error 0.199525 root_mean_squared_error 0.207732 root_mean_squared_error 0.204657 root_mean_squared_error 0.208361 root_mean_squared_error 0.190975 root_mean_squared_error 0.188099 root_mean_squared_error 0.192814 root_mean_squared_error 0.209802 root_mean_squared_error 0.203007 root_mean_squared_error 0.201003 root_mean_squared_error 0.200907 root_mean_squared_error 0.201702 root_mean_squared_error 0.195441 root_mean_squared_error 0.194616 root_mean_squared_error 0.198845 root_mean_squared_error 0.203875 root_mean_squared_error 0.197578 root_mean_squared_error 0.193067 root_mean_squared_error 0.207644 root_mean_squared_error 0.19858 root_mean_squared_error 0.195591 root_mean_squared_error 0.201022 root_mean_squared_error 0.190821 root_mean_squared_error 0.204483 root_mean_squared_error 0.195639 root_mean_squared_error 0.202993 root_mean_squared_error 0.203535 root_mean_squared_error 0.189203 root_mean_squared_error 0.198645 root_mean_squared_error 0.190804 root_mean_squared_error 0.201535 root_mean_squared_error 0.199398 root_mean_squared_error 0.200498 root_mean_squared_error 0.207737 root_mean_squared_error 0.20778 root_mean_squared_error 0.203958 root_mean_squared_error 0.21238 root_mean_squared_error 0.192602 root_mean_squared_error 0.196088 root_mean_squared_error 0.193267 root_mean_squared_error 0.211546 root_mean_squared_error 0.196745 root_mean_squared_error 0.195324 root_mean_squared_error 0.199443 root_mean_squared_error 0.200289 root_mean_squared_error 0.201842 root_mean_squared_error 0.200796 root_mean_squared_error 0.199844 root_mean_squared_error 0.210334 root_mean_squared_error 0.204791 root_mean_squared_error 0.199768 root_mean_squared_error 0.197376 root_mean_squared_error 0.199196 root_mean_squared_error 0.211226 root_mean_squared_error 0.198919 root_mean_squared_error 0.191532 root_mean_squared_error 0.204931 root_mean_squared_error 0.201237 root_mean_squared_error 0.202465 root_relative_squared_error 0.636293 root_relative_squared_error 0.628953 root_relative_squared_error 0.658413 root_relative_squared_error 0.663342 root_relative_squared_error 0.648412 root_relative_squared_error 0.634625 root_relative_squared_error 0.606324 root_relative_squared_error 0.635776 root_relative_squared_error 0.643884 root_relative_squared_error 0.619487 root_relative_squared_error 0.655369 root_relative_squared_error 0.657118 root_relative_squared_error 0.658774 root_relative_squared_error 0.653935 root_relative_squared_error 0.644161 root_relative_squared_error 0.659706 root_relative_squared_error 0.609019 root_relative_squared_error 0.670002 root_relative_squared_error 0.668875 root_relative_squared_error 0.649782 root_relative_squared_error 0.656248 root_relative_squared_error 0.641354 root_relative_squared_error 0.639802 root_relative_squared_error 0.627791 root_relative_squared_error 0.624261 root_relative_squared_error 0.648101 root_relative_squared_error 0.654882 root_relative_squared_error 0.639254 root_relative_squared_error 0.640613 root_relative_squared_error 0.614473 root_relative_squared_error 0.611777 root_relative_squared_error 0.612248 root_relative_squared_error 0.618169 root_relative_squared_error 0.636338 root_relative_squared_error 0.62833 root_relative_squared_error 0.643216 root_relative_squared_error 0.625245 root_relative_squared_error 0.658964 root_relative_squared_error 0.630638 root_relative_squared_error 0.642309 root_relative_squared_error 0.655818 root_relative_squared_error 0.637036 root_relative_squared_error 0.663253 root_relative_squared_error 0.653436 root_relative_squared_error 0.665313 root_relative_squared_error 0.609753 root_relative_squared_error 0.600615 root_relative_squared_error 0.615611 root_relative_squared_error 0.669864 root_relative_squared_error 0.648166 root_relative_squared_error 0.641817 root_relative_squared_error 0.641448 root_relative_squared_error 0.644002 root_relative_squared_error 0.624012 root_relative_squared_error 0.621424 root_relative_squared_error 0.63488 root_relative_squared_error 0.650988 root_relative_squared_error 0.630827 root_relative_squared_error 0.616432 root_relative_squared_error 0.662974 root_relative_squared_error 0.63408 root_relative_squared_error 0.624518 root_relative_squared_error 0.641857 root_relative_squared_error 0.60926 root_relative_squared_error 0.652912 root_relative_squared_error 0.624681 root_relative_squared_error 0.648172 root_relative_squared_error 0.649894 root_relative_squared_error 0.604096 root_relative_squared_error 0.634241 root_relative_squared_error 0.609205 root_relative_squared_error 0.643495 root_relative_squared_error 0.63666 root_relative_squared_error 0.640204 root_relative_squared_error 0.663263 root_relative_squared_error 0.66345 root_relative_squared_error 0.651253 root_relative_squared_error 0.678134 root_relative_squared_error 0.614976 root_relative_squared_error 0.626113 root_relative_squared_error 0.617054 root_relative_squared_error 0.675462 root_relative_squared_error 0.628187 root_relative_squared_error 0.623685 root_relative_squared_error 0.636782 root_relative_squared_error 0.639566 root_relative_squared_error 0.644442 root_relative_squared_error 0.641149 root_relative_squared_error 0.638144 root_relative_squared_error 0.671594 root_relative_squared_error 0.653855 root_relative_squared_error 0.637812 root_relative_squared_error 0.630175 root_relative_squared_error 0.636073 root_relative_squared_error 0.674385 root_relative_squared_error 0.635188 root_relative_squared_error 0.611508 root_relative_squared_error 0.654361 root_relative_squared_error 0.642592 root_relative_squared_error 0.646453 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 240 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 250 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 200 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 230 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 210 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 200 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 240 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 250 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 200 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 230 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 150 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 210 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 200 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 170 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 160 usercpu_time_millis_training 150 usercpu_time_millis_training 160 usercpu_time_millis_training 160