416589 2 Joaquin Vanschoren 4215 Supervised Classification predictive_accuracy 1192 weka.MultiBoostAB_DecisionStump(3) 2046 weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 10 -W weka.classifiers.trees.DecisionStump C 3 1192 P 100 1192 S 1 1192 I 10 1192 W weka.classifiers.trees.DecisionStump 1192 weka weka_3.7.12 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 1453778 description https://api.openml.org/data/download/1453778/weka_generated_run1757589207144699164.xml -1 1453781 model_readable https://api.openml.org/data/download/1453781/WekaModel_weka.classifiers.meta.MultiBoostAB6825350101288551655.model -1 1453780 model_serialized https://api.openml.org/data/download/1453780/WekaSerialized_weka.classifiers.meta.MultiBoostAB3299792375073558652.model -1 1453779 predictions https://api.openml.org/data/download/1453779/weka_generated_predictions4747981406346373482.arff area_under_roc_curve 0.695633 [0.769412,0.724178,0.750835,0.678287,0.777408,0.752405,0.55733,0.53166,0.737766] average_cost 0 f_measure 0.112234 [0.361305,0,0.447318,0,0,0,0,0,0] kappa 0.141437 kb_relative_information_score 21251.35042 mean_absolute_error 0.181243 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 0.071878 [0.222713,0,0.292371,0,0,0,0,0,0] predictive_accuracy 0.259452 prior_entropy 3.132137 recall 0.259452 [0.956569,0,0.951673,0,0,0,0,0,0] relative_absolute_error 0.923873 root_mean_prior_squared_error 0.313191 root_mean_squared_error 0.301088 root_relative_squared_error 0.961356 scimark_benchmark 929.029636 [552.3244181537359, 986.6640759094493, 479.3490265306122, 897.4460789375264, 1729.364580914293] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 0 usercpu_time_millis_training 60 area_under_roc_curve 0.694201 [0.768168,0.730833,0.761869,0.688493,0.784314,0.755099,0.571377,0.481411,0.710145] area_under_roc_curve 0.700436 [0.776668,0.727453,0.746289,0.717931,0.774874,0.764405,0.568808,0.500027,0.733401] area_under_roc_curve 0.706952 [0.768033,0.716356,0.73201,0.700284,0.791196,0.763764,0.590496,0.565177,0.768954] area_under_roc_curve 0.69557 [0.764061,0.719101,0.748363,0.654243,0.769126,0.73815,0.589336,0.546254,0.760722] area_under_roc_curve 0.697591 [0.776068,0.711784,0.755773,0.705974,0.786492,0.740028,0.540054,0.536985,0.731429] area_under_roc_curve 0.696874 [0.770396,0.729162,0.734149,0.694661,0.778682,0.739474,0.555148,0.54856,0.744385] area_under_roc_curve 0.705239 [0.787312,0.717509,0.745238,0.671641,0.795958,0.757497,0.585951,0.58255,0.735168] area_under_roc_curve 0.703286 [0.77325,0.720175,0.762467,0.685114,0.78346,0.754544,0.581629,0.528758,0.754781] area_under_roc_curve 0.707192 [0.781201,0.734738,0.757622,0.69215,0.784667,0.780157,0.558581,0.553439,0.74328] area_under_roc_curve 0.701515 [0.776696,0.727492,0.751357,0.676142,0.780708,0.741138,0.563126,0.563412,0.758627] area_under_roc_curve 0.698022 [0.754248,0.7569,0.739867,0.676472,0.780807,0.757292,0.565386,0.531821,0.75115] area_under_roc_curve 0.701217 [0.758219,0.720499,0.746203,0.702615,0.788671,0.759861,0.576223,0.523442,0.753028] area_under_roc_curve 0.699109 [0.75828,0.719317,0.738565,0.693265,0.771912,0.755625,0.533196,0.588589,0.762228] area_under_roc_curve 0.708131 [0.784998,0.724435,0.762428,0.701571,0.783747,0.761528,0.54062,0.571348,0.76104] area_under_roc_curve 0.70069 [0.766181,0.745161,0.76662,0.689827,0.786492,0.774931,0.515548,0.553222,0.725377] area_under_roc_curve 0.699653 [0.780412,0.735067,0.769502,0.703469,0.773546,0.757292,0.521805,0.526312,0.73206] area_under_roc_curve 0.699556 [0.755298,0.717121,0.751802,0.701731,0.786492,0.758282,0.559129,0.531185,0.750831] area_under_roc_curve 0.698188 [0.777529,0.727222,0.7469,0.696583,0.766717,0.764514,0.572518,0.513541,0.726476] area_under_roc_curve 0.707697 [0.784363,0.713743,0.761606,0.715307,0.777749,0.778472,0.575931,0.522402,0.742269] area_under_roc_curve 0.703995 [0.770187,0.718371,0.745515,0.681618,0.785948,0.768611,0.583909,0.55929,0.750281] area_under_roc_curve 0.700802 [0.771855,0.755819,0.758612,0.645589,0.780082,0.758194,0.577929,0.547154,0.745017] area_under_roc_curve 0.697466 [0.770162,0.757491,0.7498,0.674227,0.778448,0.762292,0.560267,0.521284,0.724278] area_under_roc_curve 0.695846 [0.766807,0.754637,0.762479,0.67109,0.770278,0.753958,0.568799,0.4911,0.735127] area_under_roc_curve 0.702002 [0.771392,0.716719,0.749184,0.721653,0.775568,0.770486,0.578207,0.497091,0.740072] area_under_roc_curve 0.711841 [0.783737,0.726698,0.766244,0.698034,0.772708,0.782153,0.575946,0.545959,0.7707] area_under_roc_curve 0.703108 [0.774646,0.714368,0.761342,0.688157,0.788109,0.771736,0.579651,0.533824,0.727255] area_under_roc_curve 0.701656 [0.769546,0.741696,0.743906,0.681731,0.790305,0.761528,0.569674,0.543802,0.74195] area_under_roc_curve 0.703506 [0.780351,0.735651,0.755019,0.681731,0.776395,0.755764,0.559989,0.554821,0.754677] area_under_roc_curve 0.70582 [0.780977,0.756343,0.761494,0.651006,0.781352,0.763611,0.584187,0.553299,0.751699] area_under_roc_curve 0.700919 [0.778689,0.747948,0.751599,0.703925,0.769859,0.766389,0.547446,0.517451,0.735357] area_under_roc_curve 0.703058 [0.790037,0.730009,0.768829,0.706738,0.763994,0.744444,0.536624,0.527352,0.761909] area_under_roc_curve 0.704772 [0.787749,0.727222,0.751088,0.675861,0.787582,0.747222,0.587045,0.552105,0.751929] area_under_roc_curve 0.703176 [0.785491,0.746275,0.760858,0.678217,0.778448,0.762292,0.54574,0.554339,0.737005] area_under_roc_curve 0.704694 [0.770162,0.763099,0.756704,0.674227,0.785403,0.768056,0.540897,0.565358,0.750446] area_under_roc_curve 0.704087 [0.784896,0.736208,0.74869,0.669515,0.78976,0.743681,0.575085,0.566397,0.754127] area_under_roc_curve 0.70298 [0.781541,0.744569,0.746078,0.68633,0.775023,0.758403,0.569091,0.541722,0.745886] area_under_roc_curve 0.70002 [0.776431,0.727746,0.734965,0.675293,0.760726,0.758403,0.578775,0.563759,0.752249] area_under_roc_curve 0.695425 [0.770788,0.727712,0.752066,0.672267,0.769571,0.741319,0.560252,0.5418,0.740391] area_under_roc_curve 0.698175 [0.752514,0.699216,0.748321,0.661991,0.786073,0.759246,0.595884,0.563046,0.744697] area_under_roc_curve 0.711616 [0.782547,0.734604,0.757017,0.679912,0.795333,0.77375,0.615268,0.531512,0.760401] area_under_roc_curve 0.697784 [0.753704,0.702527,0.754685,0.679395,0.777359,0.755417,0.55172,0.571984,0.754996] area_under_roc_curve 0.698851 [0.776996,0.727188,0.756592,0.661799,0.775568,0.753194,0.558837,0.56871,0.733708] area_under_roc_curve 0.690583 [0.768531,0.729942,0.750757,0.698565,0.76701,0.751201,0.528631,0.516489,0.706376] area_under_roc_curve 0.69404 [0.755992,0.738962,0.768304,0.658398,0.774635,0.758988,0.549721,0.530704,0.726795] area_under_roc_curve 0.692027 [0.782075,0.744603,0.736944,0.684431,0.773127,0.735139,0.573087,0.497572,0.7132] area_under_roc_curve 0.700758 [0.767905,0.737289,0.747986,0.676582,0.783224,0.754945,0.548015,0.573101,0.747534] area_under_roc_curve 0.698833 [0.77126,0.745752,0.754263,0.69169,0.777484,0.751111,0.55401,0.515139,0.743049] area_under_roc_curve 0.69588 [0.75825,0.725516,0.762205,0.691955,0.784079,0.749097,0.557131,0.506433,0.735357] area_under_roc_curve 0.688181 [0.757624,0.710432,0.733503,0.693914,0.786073,0.730692,0.557145,0.524481,0.71288] area_under_roc_curve 0.695296 [0.750882,0.722138,0.760896,0.69431,0.774635,0.747566,0.540037,0.525195,0.752249] area_under_roc_curve 0.701936 [0.783706,0.721682,0.735412,0.707976,0.79152,0.746806,0.565984,0.546441,0.737465] area_under_roc_curve 0.698006 [0.772984,0.721057,0.761119,0.683253,0.781566,0.753542,0.538053,0.557055,0.727025] area_under_roc_curve 0.701955 [0.781541,0.727746,0.768304,0.658398,0.774635,0.758988,0.58846,0.536213,0.739522] area_under_roc_curve 0.692805 [0.771352,0.732762,0.758876,0.707591,0.776688,0.731139,0.540314,0.48615,0.728214] area_under_roc_curve 0.713344 [0.78148,0.712104,0.746891,0.6877,0.784439,0.791458,0.621802,0.559212,0.762139] area_under_roc_curve 0.695299 [0.759378,0.724401,0.753598,0.654864,0.770949,0.756614,0.580205,0.54388,0.736455] area_under_roc_curve 0.700184 [0.775333,0.711446,0.75322,0.692808,0.768644,0.746528,0.541452,0.569904,0.758932] area_under_roc_curve 0.707342 [0.776951,0.72279,0.760033,0.674551,0.785529,0.770111,0.557714,0.59115,0.756875] area_under_roc_curve 0.698756 [0.769003,0.719942,0.752512,0.666114,0.768351,0.755352,0.604708,0.522883,0.747214] area_under_roc_curve 0.694694 [0.772481,0.731648,0.772496,0.682472,0.777778,0.737962,0.534334,0.518087,0.729313] area_under_roc_curve 0.697769 [0.778063,0.710432,0.756151,0.669972,0.786073,0.752778,0.571672,0.552027,0.719244] area_under_roc_curve 0.69608 [0.765833,0.748995,0.760561,0.681938,0.771786,0.748977,0.521222,0.54076,0.742359] area_under_roc_curve 0.696455 [0.790635,0.724469,0.75644,0.663931,0.774887,0.727762,0.583355,0.527197,0.734718] area_under_roc_curve 0.690962 [0.776401,0.722729,0.740689,0.669058,0.772583,0.724018,0.573656,0.531185,0.725377] area_under_roc_curve 0.694383 [0.773647,0.736174,0.750999,0.675404,0.784314,0.743889,0.542035,0.544438,0.71786] area_under_roc_curve 0.698142 [0.763345,0.736174,0.773115,0.699346,0.777359,0.756058,0.546877,0.489347,0.742269] area_under_roc_curve 0.697568 [0.773579,0.719908,0.747913,0.703925,0.783769,0.777917,0.557131,0.52296,0.697176] area_under_roc_curve 0.69256 [0.748456,0.724401,0.746714,0.666835,0.777903,0.750903,0.609259,0.488788,0.736455] area_under_roc_curve 0.687501 [0.763421,0.741157,0.743348,0.678613,0.773965,0.744861,0.518946,0.540894,0.700013] area_under_roc_curve 0.706751 [0.782013,0.717746,0.744129,0.685801,0.789886,0.751717,0.567691,0.59219,0.76127] area_under_roc_curve 0.697713 [0.759973,0.723253,0.747276,0.691498,0.780501,0.757875,0.565386,0.531821,0.738423] area_under_roc_curve 0.702552 [0.771878,0.710398,0.7469,0.680711,0.773672,0.765106,0.611257,0.530068,0.751929] area_under_roc_curve 0.704878 [0.758117,0.69751,0.748808,0.686879,0.789531,0.777708,0.590181,0.566956,0.753578] area_under_roc_curve 0.702891 [0.772389,0.727813,0.753064,0.666571,0.785529,0.76375,0.601295,0.536058,0.744148] area_under_roc_curve 0.694257 [0.755862,0.733387,0.762316,0.67246,0.787037,0.735995,0.563402,0.511087,0.745017] area_under_roc_curve 0.693745 [0.758913,0.700787,0.753819,0.705368,0.761145,0.745972,0.566232,0.501546,0.752019] area_under_roc_curve 0.694663 [0.758906,0.734401,0.78193,0.679335,0.762653,0.751944,0.513812,0.526467,0.746524] area_under_roc_curve 0.69696 [0.766727,0.727222,0.732658,0.715764,0.780627,0.759395,0.538622,0.541086,0.726476] area_under_roc_curve 0.704493 [0.770265,0.728303,0.758282,0.70687,0.781046,0.757847,0.56966,0.514735,0.764937] area_under_roc_curve 0.699742 [0.765052,0.740668,0.745591,0.679102,0.785403,0.768056,0.60869,0.493739,0.730641] area_under_roc_curve 0.709191 [0.783793,0.726141,0.747123,0.688745,0.780208,0.766069,0.570535,0.583965,0.765544] area_under_roc_curve 0.703036 [0.780334,0.730077,0.749031,0.667899,0.788797,0.744894,0.583355,0.560252,0.753808] area_under_roc_curve 0.700699 [0.779284,0.7306,0.744505,0.674385,0.790076,0.755208,0.570243,0.560888,0.728674] area_under_roc_curve 0.704632 [0.770726,0.728894,0.760258,0.677628,0.785948,0.774375,0.535486,0.592345,0.743918] area_under_roc_curve 0.69877 [0.766805,0.732835,0.74488,0.697123,0.78268,0.748678,0.553426,0.535096,0.746984] area_under_roc_curve 0.709008 [0.791763,0.723354,0.740896,0.694496,0.796841,0.762431,0.591902,0.559135,0.748543] area_under_roc_curve 0.702311 [0.775805,0.723878,0.750716,0.688289,0.79085,0.744792,0.588475,0.526716,0.749649] 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average_cost 0 average_cost 0 average_cost 0 f_measure 0.112233 [0.356164,0,0.45388,0,0,0,0,0,0] f_measure 0.11225 [0.363328,0,0.444118,0,0,0,0,0,0] f_measure 0.109836 [0.364937,0,0.428169,0,0,0,0,0,0] f_measure 0.110932 [0.356021,0,0.443165,0,0,0,0,0,0] f_measure 0.112656 [0.364888,0,0.448326,0,0,0,0,0,0] f_measure 0.109489 [0.360825,0,0.431487,0,0,0,0,0,0] f_measure 0.111615 [0.378182,0,0.435146,0,0,0,0,0,0] f_measure 0.113317 [0.361775,0,0.454545,0,0,0,0,0,0] f_measure 0.113375 [0.368421,0,0.449857,0,0,0,0,0,0] f_measure 0.112252 [0.363322,0,0.446377,0,0,0,0,0,0] f_measure 0.10862 [0.345763,0,0.43787,0,0,0,0,0,0] f_measure 0.111038 [0.354167,0,0.442197,0,0,0,0,0,0] f_measure 0.110104 [0.350168,0,0.439169,0,0,0,0,0,0] f_measure 0.113698 [0.370629,0,0.45245,0,0,0,0,0,0] f_measure 0.113489 [0.358621,0,0.45706,0,0,0,0,0,0] f_measure 0.114971 [0.365482,0,0.461538,0,0,0,0,0,0] f_measure 0.11018 [0.348877,0,0.445415,0,0,0,0,0,0] f_measure 0.11183 [0.366782,0,0.441219,0,0,0,0,0,0] f_measure 0.114216 [0.369863,0,0.45388,0,0,0,0,0,0] f_measure 0.11122 [0.358621,0,0.442504,0,0,0,0,0,0] f_measure 0.112892 [0.362694,0,0.450581,0,0,0,0,0,0] f_measure 0.112403 [0.360825,0,0.446064,0,0,0,0,0,0] f_measure 0.113878 [0.355109,0,0.459016,0,0,0,0,0,0] f_measure 0.111047 [0.357751,0,0.444772,0,0,0,0,0,0] f_measure 0.114728 [0.373898,0,0.454286,0,0,0,0,0,0] f_measure 0.113422 [0.368142,0,0.450142,0,0,0,0,0,0] f_measure 0.110221 [0.36014,0,0.43804,0,0,0,0,0,0] f_measure 0.113067 [0.369983,0,0.446686,0,0,0,0,0,0] f_measure 0.113974 [0.366102,0,0.454948,0,0,0,0,0,0] f_measure 0.113272 [0.365812,0,0.448023,0,0,0,0,0,0] f_measure 0.11633 [0.373928,0,0.461314,0,0,0,0,0,0] f_measure 0.113876 [0.373702,0,0.446377,0,0,0,0,0,0] f_measure 0.114964 [0.371134,0,0.45481,0,0,0,0,0,0] f_measure 0.112532 [0.360825,0,0.449635,0,0,0,0,0,0] f_measure 0.11336 [0.372822,0,0.443804,0,0,0,0,0,0] f_measure 0.112027 [0.366723,0,0.442478,0,0,0,0,0,0] f_measure 0.110221 [0.363328,0,0.433628,0,0,0,0,0,0] f_measure 0.112052 [0.357262,0,0.449102,0,0,0,0,0,0] f_measure 0.110114 [0.352113,0,0.440629,0,0,0,0,0,0] f_measure 0.114283 [0.377495,0,0.446304,0,0,0,0,0,0] f_measure 0.111819 [0.349315,0,0.450292,0,0,0,0,0,0] f_measure 0.113043 [0.363946,0,0.450663,0,0,0,0,0,0] f_measure 0.111741 [0.354892,0,0.448795,0,0,0,0,0,0] f_measure 0.113013 [0.349745,0,0.460177,0,0,0,0,0,0] f_measure 0.11164 [0.369603,0,0.435414,0,0,0,0,0,0] f_measure 0.111263 [0.358362,0,0.443465,0,0,0,0,0,0] f_measure 0.113039 [0.364273,0,0.447633,0,0,0,0,0,0] f_measure 0.112366 [0.352137,0,0.454545,0,0,0,0,0,0] f_measure 0.108653 [0.355634,0,0.429185,0,0,0,0,0,0] f_measure 0.111684 [0.34635,0,0.454277,0,0,0,0,0,0] f_measure 0.111664 [0.376344,0,0.430986,0,0,0,0,0,0] f_measure 0.113288 [0.363951,0,0.452174,0,0,0,0,0,0] f_measure 0.114888 [0.366723,0,0.460177,0,0,0,0,0,0] f_measure 0.112976 [0.35786,0,0.45441,0,0,0,0,0,0] f_measure 0.112879 [0.371278,0,0.441894,0,0,0,0,0,0] f_measure 0.11134 [0.353345,0,0.447368,0,0,0,0,0,0] f_measure 0.113293 [0.36,0,0.452096,0,0,0,0,0,0] f_measure 0.112794 [0.366197,0,0.449857,0,0,0,0,0,0] f_measure 0.111898 [0.361739,0,0.445087,0,0,0,0,0,0] f_measure 0.114817 [0.35906,0,0.464978,0,0,0,0,0,0] f_measure 0.113793 [0.369718,0,0.448571,0,0,0,0,0,0] f_measure 0.112251 [0.349835,0,0.457576,0,0,0,0,0,0] f_measure 0.113381 [0.377224,0,0.446023,0,0,0,0,0,0] f_measure 0.110956 [0.365517,0,0.436681,0,0,0,0,0,0] f_measure 0.112185 [0.360206,0,0.447368,0,0,0,0,0,0] f_measure 0.114288 [0.353345,0,0.464912,0,0,0,0,0,0] f_measure 0.112418 [0.362393,0,0.445095,0,0,0,0,0,0] f_measure 0.109791 [0.343643,0,0.443796,0,0,0,0,0,0] f_measure 0.110401 [0.351575,0,0.442771,0,0,0,0,0,0] f_measure 0.111862 [0.374332,0,0.436261,0,0,0,0,0,0] f_measure 0.110606 [0.351946,0,0.443787,0,0,0,0,0,0] f_measure 0.110772 [0.360485,0,0.441219,0,0,0,0,0,0] f_measure 0.109992 [0.351916,0,0.442197,0,0,0,0,0,0] f_measure 0.112972 [0.365554,0,0.446352,0,0,0,0,0,0] f_measure 0.111551 [0.349481,0,0.453488,0,0,0,0,0,0] f_measure 0.111582 [0.346667,0,0.452774,0,0,0,0,0,0] f_measure 0.116056 [0.346972,0,0.47793,0,0,0,0,0,0] f_measure 0.109318 [0.357019,0,0.431884,0,0,0,0,0,0] f_measure 0.112907 [0.356537,0,0.454277,0,0,0,0,0,0] f_measure 0.110737 [0.357388,0,0.440876,0,0,0,0,0,0] f_measure 0.111699 [0.371681,0,0.439372,0,0,0,0,0,0] 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 0.113786 [0.361446,0,0.454148,0,0,0,0,0,0] f_measure 0.110159 [0.354949,0,0.441176,0,0,0,0,0,0] f_measure 0.112288 [0.378571,0,0.435644,0,0,0,0,0,0] f_measure 0.112183 [0.367133,0,0.443165,0,0,0,0,0,0] f_measure 0.113887 [0.367067,0,0.453216,0,0,0,0,0,0] f_measure 0.111452 [0.37276,0,0.434415,0,0,0,0,0,0] f_measure 0.112103 [0.354344,0,0.453608,0,0,0,0,0,0] f_measure 0.112931 [0.359932,0,0.454948,0,0,0,0,0,0] f_measure 0.113289 [0.355786,0,0.459971,0,0,0,0,0,0] f_measure 0.113164 [0.363636,0,0.45388,0,0,0,0,0,0] f_measure 0.110012 [0.365217,0,0.430636,0,0,0,0,0,0] f_measure 0.110651 [0.348877,0,0.448326,0,0,0,0,0,0] f_measure 0.110724 [0.349745,0,0.445428,0,0,0,0,0,0] f_measure 0.113318 [0.357388,0,0.459064,0,0,0,0,0,0] f_measure 0.113901 [0.377698,0,0.44382,0,0,0,0,0,0] f_measure 0.115066 [0.361775,0,0.464023,0,0,0,0,0,0] f_measure 0.110768 [0.348259,0,0.449472,0,0,0,0,0,0] kappa 0.142632 kappa 0.140681 kappa 0.134455 kappa 0.138037 kappa 0.143116 kappa 0.135029 kappa 0.142027 kappa 0.144533 kappa 0.144858 kappa 0.141792 kappa 0.132672 kappa 0.136695 kappa 0.134148 kappa 0.146854 kappa 0.14442 kappa 0.14847 kappa 0.136746 kappa 0.140825 kappa 0.146951 kappa 0.138597 kappa 0.143205 kappa 0.140504 kappa 0.143614 kappa 0.139491 kappa 0.148416 kappa 0.144819 kappa 0.137542 kappa 0.144063 kappa 0.146093 kappa 0.142989 kappa 0.151037 kappa 0.144954 kappa 0.147492 kappa 0.142194 kappa 0.143581 kappa 0.141388 kappa 0.136735 kappa 0.140737 kappa 0.135653 kappa 0.145882 kappa 0.138279 kappa 0.143664 kappa 0.139779 kappa 0.142552 kappa 0.139182 kappa 0.138908 kappa 0.142259 kappa 0.141184 kappa 0.132159 kappa 0.139061 kappa 0.139248 kappa 0.144267 kappa 0.148369 kappa 0.143011 kappa 0.142259 kappa 0.138754 kappa 0.142607 kappa 0.144318 kappa 0.140672 kappa 0.147561 kappa 0.144434 kappa 0.141644 kappa 0.146335 kappa 0.1386 kappa 0.141084 kappa 0.14574 kappa 0.140661 kappa 0.134048 kappa 0.136292 kappa 0.141119 kappa 0.136837 kappa 0.138968 kappa 0.136483 kappa 0.142155 kappa 0.140184 kappa 0.1385 kappa 0.14783 kappa 0.133779 kappa 0.142567 kappa 0.137538 kappa 0.141833 kappa 0.141676 kappa 0.139923 kappa 0.143946 kappa 0.137113 kappa 0.14219 kappa 0.141683 kappa 0.14574 kappa 0.139752 kappa 0.141816 kappa 0.144246 kappa 0.14489 kappa 0.145097 kappa 0.136001 kappa 0.137909 kappa 0.13675 kappa 0.145045 kappa 0.144975 kappa 0.148226 kappa 0.138002 kb_relative_information_score 212.315552 kb_relative_information_score 212.862083 kb_relative_information_score 212.666024 kb_relative_information_score 209.851395 kb_relative_information_score 211.361223 kb_relative_information_score 211.372461 kb_relative_information_score 213.553127 kb_relative_information_score 214.627239 kb_relative_information_score 215.087464 kb_relative_information_score 213.18923 kb_relative_information_score 212.181913 kb_relative_information_score 213.530225 kb_relative_information_score 209.699367 kb_relative_information_score 216.571298 kb_relative_information_score 214.700271 kb_relative_information_score 214.833218 kb_relative_information_score 213.021977 kb_relative_information_score 212.61784 kb_relative_information_score 215.280228 kb_relative_information_score 211.758727 kb_relative_information_score 213.052532 kb_relative_information_score 212.796758 kb_relative_information_score 212.758939 kb_relative_information_score 213.159557 kb_relative_information_score 218.056186 kb_relative_information_score 214.427708 kb_relative_information_score 213.511037 kb_relative_information_score 214.393267 kb_relative_information_score 215.030485 kb_relative_information_score 214.75133 kb_relative_information_score 215.842932 kb_relative_information_score 212.52968 kb_relative_information_score 214.906739 kb_relative_information_score 213.936536 kb_relative_information_score 213.777516 kb_relative_information_score 212.653255 kb_relative_information_score 211.2521 kb_relative_information_score 209.311634 kb_relative_information_score 210.102053 kb_relative_information_score 217.43519 kb_relative_information_score 210.960566 kb_relative_information_score 211.760888 kb_relative_information_score 208.839851 kb_relative_information_score 211.312107 kb_relative_information_score 210.309116 kb_relative_information_score 211.150731 kb_relative_information_score 213.840585 kb_relative_information_score 211.20352 kb_relative_information_score 208.237504 kb_relative_information_score 211.975268 kb_relative_information_score 213.483664 kb_relative_information_score 211.088809 kb_relative_information_score 211.957975 kb_relative_information_score 210.846049 kb_relative_information_score 216.428348 kb_relative_information_score 208.606001 kb_relative_information_score 210.841314 kb_relative_information_score 215.005439 kb_relative_information_score 210.080185 kb_relative_information_score 212.479743 kb_relative_information_score 211.455253 kb_relative_information_score 211.117645 kb_relative_information_score 211.407473 kb_relative_information_score 208.59694 kb_relative_information_score 211.024301 kb_relative_information_score 214.626808 kb_relative_information_score 210.977834 kb_relative_information_score 209.515743 kb_relative_information_score 208.224249 kb_relative_information_score 214.124457 kb_relative_information_score 210.530265 kb_relative_information_score 212.667522 kb_relative_information_score 213.148229 kb_relative_information_score 213.434514 kb_relative_information_score 211.457082 kb_relative_information_score 209.210802 kb_relative_information_score 211.402072 kb_relative_information_score 211.90744 kb_relative_information_score 214.228208 kb_relative_information_score 211.38987 kb_relative_information_score 215.491822 kb_relative_information_score 213.239929 kb_relative_information_score 212.456087 kb_relative_information_score 214.349399 kb_relative_information_score 212.765831 kb_relative_information_score 215.589616 kb_relative_information_score 213.782529 kb_relative_information_score 215.505841 kb_relative_information_score 212.173978 kb_relative_information_score 209.596152 kb_relative_information_score 212.600851 kb_relative_information_score 212.652176 kb_relative_information_score 215.37546 kb_relative_information_score 212.76191 kb_relative_information_score 210.082125 kb_relative_information_score 208.143503 kb_relative_information_score 213.36939 kb_relative_information_score 213.894638 kb_relative_information_score 214.662891 kb_relative_information_score 207.235625 mean_absolute_error 0.181342 mean_absolute_error 0.181056 mean_absolute_error 0.181006 mean_absolute_error 0.181676 mean_absolute_error 0.181191 mean_absolute_error 0.181557 mean_absolute_error 0.18108 mean_absolute_error 0.181076 mean_absolute_error 0.180672 mean_absolute_error 0.181281 mean_absolute_error 0.18153 mean_absolute_error 0.181166 mean_absolute_error 0.18155 mean_absolute_error 0.180695 mean_absolute_error 0.180979 mean_absolute_error 0.180988 mean_absolute_error 0.18124 mean_absolute_error 0.181257 mean_absolute_error 0.180663 mean_absolute_error 0.181201 mean_absolute_error 0.18129 mean_absolute_error 0.181314 mean_absolute_error 0.181367 mean_absolute_error 0.18101 mean_absolute_error 0.180444 mean_absolute_error 0.180946 mean_absolute_error 0.181196 mean_absolute_error 0.181019 mean_absolute_error 0.181111 mean_absolute_error 0.181016 mean_absolute_error 0.180784 mean_absolute_error 0.181062 mean_absolute_error 0.180985 mean_absolute_error 0.180948 mean_absolute_error 0.181151 mean_absolute_error 0.181149 mean_absolute_error 0.181591 mean_absolute_error 0.181626 mean_absolute_error 0.181613 mean_absolute_error 0.180505 mean_absolute_error 0.181531 mean_absolute_error 0.181486 mean_absolute_error 0.18164 mean_absolute_error 0.181522 mean_absolute_error 0.181615 mean_absolute_error 0.181333 mean_absolute_error 0.181068 mean_absolute_error 0.181254 mean_absolute_error 0.181925 mean_absolute_error 0.181416 mean_absolute_error 0.181067 mean_absolute_error 0.181213 mean_absolute_error 0.181174 mean_absolute_error 0.181343 mean_absolute_error 0.180762 mean_absolute_error 0.181639 mean_absolute_error 0.181364 mean_absolute_error 0.180938 mean_absolute_error 0.181381 mean_absolute_error 0.181348 mean_absolute_error 0.18135 mean_absolute_error 0.181398 mean_absolute_error 0.181337 mean_absolute_error 0.181869 mean_absolute_error 0.18154 mean_absolute_error 0.180969 mean_absolute_error 0.181241 mean_absolute_error 0.181768 mean_absolute_error 0.182032 mean_absolute_error 0.181032 mean_absolute_error 0.181442 mean_absolute_error 0.181295 mean_absolute_error 0.181226 mean_absolute_error 0.181148 mean_absolute_error 0.181447 mean_absolute_error 0.18155 mean_absolute_error 0.181294 mean_absolute_error 0.181399 mean_absolute_error 0.180872 mean_absolute_error 0.181268 mean_absolute_error 0.180879 mean_absolute_error 0.181159 mean_absolute_error 0.181333 mean_absolute_error 0.181064 mean_absolute_error 0.181361 mean_absolute_error 0.180808 mean_absolute_error 0.181123 mean_absolute_error 0.180925 mean_absolute_error 0.181272 mean_absolute_error 0.18143 mean_absolute_error 0.181094 mean_absolute_error 0.181252 mean_absolute_error 0.180932 mean_absolute_error 0.18128 mean_absolute_error 0.181669 mean_absolute_error 0.181794 mean_absolute_error 0.181228 mean_absolute_error 0.180999 mean_absolute_error 0.18099 mean_absolute_error 0.181925 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 0.071887 [0.218947,0,0.296935,0,0,0,0,0,0] precision 0.072012 [0.223382,0,0.291506,0,0,0,0,0,0] precision 0.070134 [0.227171,0,0.277372,0,0,0,0,0,0] precision 0.070981 [0.219828,0,0.288931,0,0,0,0,0,0] precision 0.072109 [0.225053,0,0.292776,0,0,0,0,0,0] precision 0.070067 [0.222458,0,0.281905,0,0,0,0,0,0] precision 0.071091 [0.235828,0,0.280576,0,0,0,0,0,0] precision 0.072612 [0.222689,0,0.297505,0,0,0,0,0,0] precision 0.072495 [0.227766,0,0.29291,0,0,0,0,0,0] precision 0.071869 [0.223881,0,0.291667,0,0,0,0,0,0] precision 0.069661 [0.212058,0,0.287379,0,0,0,0,0,0] precision 0.071128 [0.218884,0,0.288679,0,0,0,0,0,0] precision 0.070747 [0.214876,0,0.289062,0,0,0,0,0,0] precision 0.072669 [0.228942,0,0.294559,0,0,0,0,0,0] precision 0.072686 [0.221277,0,0.298479,0,0,0,0,0,0] precision 0.073763 [0.224532,0,0.302913,0,0,0,0,0,0] precision 0.070536 [0.214894,0,0.290875,0,0,0,0,0,0] precision 0.071549 [0.226496,0,0.287879,0,0,0,0,0,0] precision 0.073162 [0.227848,0,0.296935,0,0,0,0,0,0] precision 0.071256 [0.220807,0,0.289524,0,0,0,0,0,0] precision 0.072269 [0.223881,0,0.294118,0,0,0,0,0,0] precision 0.07206 [0.222458,0,0.291985,0,0,0,0,0,0] precision 0.073249 [0.217659,0,0.302554,0,0,0,0,0,0] precision 0.071161 [0.219665,0,0.291506,0,0,0,0,0,0] precision 0.073301 [0.231947,0,0.294991,0,0,0,0,0,0] precision 0.072453 [0.228571,0,0.292052,0,0,0,0,0,0] precision 0.070444 [0.222462,0,0.285178,0,0,0,0,0,0] precision 0.072293 [0.228942,0,0.290807,0,0,0,0,0,0] precision 0.073093 [0.225,0,0.29845,0,0,0,0,0,0] precision 0.072643 [0.225263,0,0.293666,0,0,0,0,0,0] precision 0.074588 [0.230444,0,0.302103,0,0,0,0,0,0] precision 0.072926 [0.230769,0,0.291667,0,0,0,0,0,0] precision 0.073693 [0.228814,0,0.29771,0,0,0,0,0,0] precision 0.072075 [0.222458,0,0.293893,0,0,0,0,0,0] precision 0.072551 [0.230603,0,0.289474,0,0,0,0,0,0] precision 0.071801 [0.22547,0,0.290135,0,0,0,0,0,0] precision 0.070632 [0.223382,0,0.284333,0,0,0,0,0,0] precision 0.071991 [0.218814,0,0.295858,0,0,0,0,0,0] precision 0.070385 [0.218341,0,0.286245,0,0,0,0,0,0] precision 0.072935 [0.235828,0,0.288288,0,0,0,0,0,0] precision 0.071751 [0.21519,0,0.295019,0,0,0,0,0,0] precision 0.072467 [0.223849,0,0.295367,0,0,0,0,0,0] precision 0.071854 [0.217039,0,0.296223,0,0,0,0,0,0] precision 0.072524 [0.215031,0,0.301741,0,0,0,0,0,0] precision 0.071492 [0.228145,0,0.28463,0,0,0,0,0,0] precision 0.071302 [0.220588,0,0.290385,0,0,0,0,0,0] precision 0.072342 [0.225597,0,0.291589,0,0,0,0,0,0] precision 0.072039 [0.216842,0,0.297505,0,0,0,0,0,0] precision 0.069424 [0.220524,0,0.27881,0,0,0,0,0,0] precision 0.071668 [0.212944,0,0.297872,0,0,0,0,0,0] precision 0.071296 [0.234375,0,0.279197,0,0,0,0,0,0] precision 0.072501 [0.224839,0,0.294896,0,0,0,0,0,0] precision 0.073677 [0.22547,0,0.301741,0,0,0,0,0,0] precision 0.072582 [0.219262,0,0.299213,0,0,0,0,0,0] precision 0.072213 [0.229935,0,0.28785,0,0,0,0,0,0] precision 0.071338 [0.217759,0,0.292543,0,0,0,0,0,0] precision 0.07288 [0.220408,0,0.298419,0,0,0,0,0,0] precision 0.072056 [0.22658,0,0.292365,0,0,0,0,0,0] precision 0.071582 [0.223656,0,0.290019,0,0,0,0,0,0] precision 0.07376 [0.220165,0,0.305882,0,0,0,0,0,0] precision 0.072785 [0.229258,0,0.291822,0,0,0,0,0,0] precision 0.072256 [0.21328,0,0.302605,0,0,0,0,0,0] precision 0.072346 [0.233996,0,0.289134,0,0,0,0,0,0] precision 0.071005 [0.225532,0,0.285171,0,0,0,0,0,0] precision 0.071916 [0.221519,0,0.293103,0,0,0,0,0,0] precision 0.073324 [0.2173,0,0.304598,0,0,0,0,0,0] precision 0.072099 [0.223158,0,0.291747,0,0,0,0,0,0] precision 0.070408 [0.211416,0,0.290631,0,0,0,0,0,0] precision 0.070987 [0.21501,0,0.292247,0,0,0,0,0,0] precision 0.071389 [0.232816,0,0.282569,0,0,0,0,0,0] precision 0.070961 [0.216216,0,0.291262,0,0,0,0,0,0] precision 0.070854 [0.222222,0,0.287879,0,0,0,0,0,0] precision 0.070346 [0.217204,0,0.288136,0,0,0,0,0,0] precision 0.072274 [0.22658,0,0.290503,0,0,0,0,0,0] precision 0.071417 [0.215352,0,0.296015,0,0,0,0,0,0] precision 0.071814 [0.211813,0,0.29901,0,0,0,0,0,0] precision 0.074955 [0.211577,0,0.317172,0,0,0,0,0,0] precision 0.069985 [0.220085,0,0.282197,0,0,0,0,0,0] precision 0.072483 [0.21875,0,0.29845,0,0,0,0,0,0] precision 0.070916 [0.220339,0,0.288168,0,0,0,0,0,0] precision 0.071299 [0.230263,0,0.285185,0,0,0,0,0,0] 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 0.072951 [0.22293,0,0.297143,0,0,0,0,0,0] precision 0.070579 [0.218029,0,0.289017,0,0,0,0,0,0] precision 0.071681 [0.235033,0,0.282569,0,0,0,0,0,0] precision 0.071718 [0.227273,0,0.28839,0,0,0,0,0,0] precision 0.073001 [0.225738,0,0.296935,0,0,0,0,0,0] precision 0.071141 [0.231626,0,0.281536,0,0,0,0,0,0] precision 0.071868 [0.217573,0,0.297297,0,0,0,0,0,0] precision 0.072411 [0.220833,0,0.29845,0,0,0,0,0,0] precision 0.072539 [0.219149,0,0.30038,0,0,0,0,0,0] precision 0.072472 [0.223629,0,0.296935,0,0,0,0,0,0] precision 0.070385 [0.225322,0,0.281132,0,0,0,0,0,0] precision 0.070844 [0.214894,0,0.292776,0,0,0,0,0,0] precision 0.071081 [0.214583,0,0.292636,0,0,0,0,0,0] precision 0.072587 [0.219873,0,0.300191,0,0,0,0,0,0] precision 0.072726 [0.235426,0,0.287273,0,0,0,0,0,0] precision 0.073835 [0.222222,0,0.304432,0,0,0,0,0,0] precision 0.07124 [0.212551,0,0.296813,0,0,0,0,0,0] predictive_accuracy 0.259779 predictive_accuracy 0.258776 predictive_accuracy 0.254764 predictive_accuracy 0.25677 predictive_accuracy 0.260782 predictive_accuracy 0.253761 predictive_accuracy 0.260782 predictive_accuracy 0.261785 predictive_accuracy 0.262788 predictive_accuracy 0.259779 predictive_accuracy 0.251004 predictive_accuracy 0.256024 predictive_accuracy 0.253012 predictive_accuracy 0.264056 predictive_accuracy 0.262048 predictive_accuracy 0.26506 predictive_accuracy 0.25502 predictive_accuracy 0.259036 predictive_accuracy 0.264056 predictive_accuracy 0.257028 predictive_accuracy 0.261044 predictive_accuracy 0.259036 predictive_accuracy 0.261044 predictive_accuracy 0.257028 predictive_accuracy 0.266064 predictive_accuracy 0.263052 predictive_accuracy 0.256024 predictive_accuracy 0.262048 predictive_accuracy 0.263052 predictive_accuracy 0.261044 predictive_accuracy 0.268072 predictive_accuracy 0.263052 predictive_accuracy 0.26506 predictive_accuracy 0.26004 predictive_accuracy 0.262048 predictive_accuracy 0.259036 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 0.257028 predictive_accuracy 0.26004 predictive_accuracy 0.258032 predictive_accuracy 0.257028 predictive_accuracy 0.261044 predictive_accuracy 0.259036 predictive_accuracy 0.252008 predictive_accuracy 0.257028 predictive_accuracy 0.259036 predictive_accuracy 0.262048 predictive_accuracy 0.26506 predictive_accuracy 0.26004 predictive_accuracy 0.261044 predictive_accuracy 0.257028 predictive_accuracy 0.26004 predictive_accuracy 0.262048 predictive_accuracy 0.259036 predictive_accuracy 0.264056 predictive_accuracy 0.263052 predictive_accuracy 0.258032 predictive_accuracy 0.264056 predictive_accuracy 0.257028 predictive_accuracy 0.259036 predictive_accuracy 0.263052 predictive_accuracy 0.259036 predictive_accuracy 0.253012 predictive_accuracy 0.254016 predictive_accuracy 0.26004 predictive_accuracy 0.25502 predictive_accuracy 0.257028 predictive_accuracy 0.25502 predictive_accuracy 0.261044 predictive_accuracy 0.258032 predictive_accuracy 0.256024 predictive_accuracy 0.264056 predictive_accuracy 0.253012 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 0.261044 predictive_accuracy 0.262048 predictive_accuracy 0.262048 predictive_accuracy 0.25502 predictive_accuracy 0.256024 predictive_accuracy 0.25502 predictive_accuracy 0.262048 predictive_accuracy 0.264056 predictive_accuracy 0.26506 predictive_accuracy 0.25502 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 0.258776 [0.972727,0,0.932099,0,0,0,0,0,0] 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 0.260782 [0.954128,0,0.968944,0,0,0,0,0,0] recall 0.261785 [0.963636,0,0.962733,0,0,0,0,0,0] recall 0.262788 [0.963303,0,0.969136,0,0,0,0,0,0] recall 0.259779 [0.963303,0,0.950617,0,0,0,0,0,0] recall 0.251004 [0.93578,0,0.919255,0,0,0,0,0,0] recall 0.256024 [0.927273,0,0.944444,0,0,0,0,0,0] recall 0.253012 [0.945455,0,0.91358,0,0,0,0,0,0] 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 0.25502 [0.926606,0,0.950311,0,0,0,0,0,0] recall 0.259036 [0.963636,0,0.944099,0,0,0,0,0,0] recall 0.264056 [0.981818,0,0.962733,0,0,0,0,0,0] recall 0.257028 [0.954128,0,0.938272,0,0,0,0,0,0] recall 0.261044 [0.954545,0,0.962733,0,0,0,0,0,0] recall 0.259036 [0.954545,0,0.944444,0,0,0,0,0,0] recall 0.261044 [0.963636,0,0.950617,0,0,0,0,0,0] recall 0.257028 [0.963303,0,0.937888,0,0,0,0,0,0] recall 0.266064 [0.963636,0,0.987578,0,0,0,0,0,0] recall 0.263052 [0.945455,0,0.981366,0,0,0,0,0,0] recall 0.256024 [0.944954,0,0.944099,0,0,0,0,0,0] recall 0.262048 [0.963636,0,0.962733,0,0,0,0,0,0] recall 0.263052 [0.981818,0,0.956522,0,0,0,0,0,0] 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 0.26506 [0.981818,0,0.962963,0,0,0,0,0,0] recall 0.26004 [0.954545,0,0.956522,0,0,0,0,0,0] recall 0.262048 [0.972727,0,0.950617,0,0,0,0,0,0] recall 0.259036 [0.981818,0,0.931677,0,0,0,0,0,0] 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 0.257028 [0.972727,0,0.925466,0,0,0,0,0,0] 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 0.257028 [0.954545,0,0.937888,0,0,0,0,0,0] recall 0.261044 [0.945455,0,0.962963,0,0,0,0,0,0] recall 0.259036 [0.936364,0,0.962733,0,0,0,0,0,0] recall 0.252008 [0.918182,0,0.931677,0,0,0,0,0,0] recall 0.257028 [0.927273,0,0.956522,0,0,0,0,0,0] recall 0.259036 [0.954545,0,0.944444,0,0,0,0,0,0] recall 0.262048 [0.954545,0,0.968944,0,0,0,0,0,0] recall 0.26506 [0.981818,0,0.968944,0,0,0,0,0,0] recall 0.26004 [0.972727,0,0.944099,0,0,0,0,0,0] recall 0.261044 [0.963636,0,0.950617,0,0,0,0,0,0] recall 0.257028 [0.936364,0,0.950311,0,0,0,0,0,0] recall 0.26004 [0.981818,0,0.932099,0,0,0,0,0,0] recall 0.262048 [0.954128,0,0.975155,0,0,0,0,0,0] recall 0.259036 [0.945455,0,0.956522,0,0,0,0,0,0] 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 [0.972477,0,0.937888,0,0,0,0,0,0] recall 0.264056 [0.972477,0,0.975155,0,0,0,0,0,0] recall 0.257028 [0.963636,0,0.931677,0,0,0,0,0,0] recall 0.259036 [0.963303,0,0.944444,0,0,0,0,0,0] recall 0.263052 [0.944954,0,0.981481,0,0,0,0,0,0] recall 0.259036 [0.963636,0,0.938272,0,0,0,0,0,0] 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 0.25502 [0.945455,0,0.931677,0,0,0,0,0,0] recall 0.257028 [0.954128,0,0.944099,0,0,0,0,0,0] recall 0.25502 [0.926606,0,0.950311,0,0,0,0,0,0] recall 0.261044 [0.945455,0,0.962963,0,0,0,0,0,0] recall 0.258032 [0.926606,0,0.968944,0,0,0,0,0,0] recall 0.256024 [0.954128,0,0.932099,0,0,0,0,0,0] recall 0.264056 [0.963636,0,0.969136,0,0,0,0,0,0] recall 0.253012 [0.944954,0,0.919753,0,0,0,0,0,0] 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 0.261044 [0.972477,0,0.956522,0,0,0,0,0,0] 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 [0.926606,0,0.956522,0,0,0,0,0,0] recall 0.25502 [0.944954,0,0.932099,0,0,0,0,0,0] recall 0.262048 [0.954128,0,0.975155,0,0,0,0,0,0] recall 0.264056 [0.954545,0,0.975309,0,0,0,0,0,0] recall 0.26506 [0.972477,0,0.975309,0,0,0,0,0,0] recall 0.25502 [0.963303,0,0.925466,0,0,0,0,0,0] relative_absolute_error 0.924346 relative_absolute_error 0.922937 relative_absolute_error 0.922683 relative_absolute_error 0.926136 relative_absolute_error 0.923586 relative_absolute_error 0.925459 relative_absolute_error 0.922956 relative_absolute_error 0.923011 relative_absolute_error 0.921016 relative_absolute_error 0.924037 relative_absolute_error 0.925321 relative_absolute_error 0.923513 relative_absolute_error 0.925472 relative_absolute_error 0.921068 relative_absolute_error 0.922546 relative_absolute_error 0.922544 relative_absolute_error 0.923864 relative_absolute_error 0.923966 relative_absolute_error 0.920865 relative_absolute_error 0.923683 relative_absolute_error 0.924135 relative_absolute_error 0.924269 relative_absolute_error 0.924538 relative_absolute_error 0.922622 relative_absolute_error 0.919819 relative_absolute_error 0.922306 relative_absolute_error 0.923641 relative_absolute_error 0.92275 relative_absolute_error 0.923147 relative_absolute_error 0.922752 relative_absolute_error 0.921567 relative_absolute_error 0.922984 relative_absolute_error 0.922591 relative_absolute_error 0.922324 relative_absolute_error 0.923438 relative_absolute_error 0.92334 relative_absolute_error 0.925667 relative_absolute_error 0.92577 relative_absolute_error 0.925727 relative_absolute_error 0.920144 relative_absolute_error 0.925373 relative_absolute_error 0.925058 relative_absolute_error 0.925862 relative_absolute_error 0.925263 relative_absolute_error 0.925803 relative_absolute_error 0.9243 relative_absolute_error 0.923017 relative_absolute_error 0.923877 relative_absolute_error 0.927313 relative_absolute_error 0.924719 relative_absolute_error 0.923012 relative_absolute_error 0.923669 relative_absolute_error 0.92349 relative_absolute_error 0.924348 relative_absolute_error 0.921458 relative_absolute_error 0.925856 relative_absolute_error 0.924526 relative_absolute_error 0.922271 relative_absolute_error 0.924543 relative_absolute_error 0.924372 relative_absolute_error 0.924453 relative_absolute_error 0.92467 relative_absolute_error 0.924359 relative_absolute_error 0.927029 relative_absolute_error 0.925394 relative_absolute_error 0.922499 relative_absolute_error 0.923895 relative_absolute_error 0.926567 relative_absolute_error 0.927868 relative_absolute_error 0.922763 relative_absolute_error 0.924853 relative_absolute_error 0.924143 relative_absolute_error 0.923775 relative_absolute_error 0.923424 relative_absolute_error 0.924871 relative_absolute_error 0.925463 relative_absolute_error 0.924169 relative_absolute_error 0.924686 relative_absolute_error 0.921991 relative_absolute_error 0.924022 relative_absolute_error 0.921957 relative_absolute_error 0.923452 relative_absolute_error 0.924317 relative_absolute_error 0.922993 relative_absolute_error 0.924427 relative_absolute_error 0.921731 relative_absolute_error 0.923217 relative_absolute_error 0.922279 relative_absolute_error 0.924098 relative_absolute_error 0.924838 relative_absolute_error 0.923067 relative_absolute_error 0.923861 relative_absolute_error 0.922232 relative_absolute_error 0.924134 relative_absolute_error 0.925976 relative_absolute_error 0.926757 relative_absolute_error 0.923729 relative_absolute_error 0.922662 relative_absolute_error 0.922659 relative_absolute_error 0.927334 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 0.301202 root_mean_squared_error 0.300718 root_mean_squared_error 0.300997 root_mean_squared_error 0.301939 root_mean_squared_error 0.301066 root_mean_squared_error 0.301634 root_mean_squared_error 0.301077 root_mean_squared_error 0.300697 root_mean_squared_error 0.30022 root_mean_squared_error 0.301152 root_mean_squared_error 0.301487 root_mean_squared_error 0.300962 root_mean_squared_error 0.301574 root_mean_squared_error 0.300113 root_mean_squared_error 0.30057 root_mean_squared_error 0.300475 root_mean_squared_error 0.30106 root_mean_squared_error 0.301112 root_mean_squared_error 0.300037 root_mean_squared_error 0.301081 root_mean_squared_error 0.301163 root_mean_squared_error 0.301176 root_mean_squared_error 0.301122 root_mean_squared_error 0.300638 root_mean_squared_error 0.299695 root_mean_squared_error 0.300668 root_mean_squared_error 0.30105 root_mean_squared_error 0.30072 root_mean_squared_error 0.300714 root_mean_squared_error 0.300589 root_mean_squared_error 0.300174 root_mean_squared_error 0.300858 root_mean_squared_error 0.300561 root_mean_squared_error 0.300596 root_mean_squared_error 0.300955 root_mean_squared_error 0.300887 root_mean_squared_error 0.301621 root_mean_squared_error 0.301658 root_mean_squared_error 0.301882 root_mean_squared_error 0.299994 root_mean_squared_error 0.30156 root_mean_squared_error 0.301435 root_mean_squared_error 0.301633 root_mean_squared_error 0.301493 root_mean_squared_error 0.301768 root_mean_squared_error 0.301268 root_mean_squared_error 0.300833 root_mean_squared_error 0.301132 root_mean_squared_error 0.302397 root_mean_squared_error 0.301295 root_mean_squared_error 0.300971 root_mean_squared_error 0.301154 root_mean_squared_error 0.300934 root_mean_squared_error 0.301141 root_mean_squared_error 0.300259 root_mean_squared_error 0.301874 root_mean_squared_error 0.301158 root_mean_squared_error 0.300596 root_mean_squared_error 0.301491 root_mean_squared_error 0.301097 root_mean_squared_error 0.301391 root_mean_squared_error 0.30114 root_mean_squared_error 0.301421 root_mean_squared_error 0.302231 root_mean_squared_error 0.301577 root_mean_squared_error 0.300511 root_mean_squared_error 0.301104 root_mean_squared_error 0.30201 root_mean_squared_error 0.302302 root_mean_squared_error 0.300872 root_mean_squared_error 0.301381 root_mean_squared_error 0.301182 root_mean_squared_error 0.301086 root_mean_squared_error 0.301003 root_mean_squared_error 0.301456 root_mean_squared_error 0.301493 root_mean_squared_error 0.300899 root_mean_squared_error 0.301375 root_mean_squared_error 0.300356 root_mean_squared_error 0.301194 root_mean_squared_error 0.300531 root_mean_squared_error 0.301089 root_mean_squared_error 0.301295 root_mean_squared_error 0.300718 root_mean_squared_error 0.301213 root_mean_squared_error 0.300453 root_mean_squared_error 0.300925 root_mean_squared_error 0.300429 root_mean_squared_error 0.301344 root_mean_squared_error 0.301424 root_mean_squared_error 0.300772 root_mean_squared_error 0.301081 root_mean_squared_error 0.300441 root_mean_squared_error 0.301162 root_mean_squared_error 0.301858 root_mean_squared_error 0.302076 root_mean_squared_error 0.301005 root_mean_squared_error 0.300865 root_mean_squared_error 0.300519 root_mean_squared_error 0.302154 root_relative_squared_error 0.961691 root_relative_squared_error 0.960196 root_relative_squared_error 0.961089 root_relative_squared_error 0.964137 root_relative_squared_error 0.961268 root_relative_squared_error 0.96309 root_relative_squared_error 0.961239 root_relative_squared_error 0.960097 root_relative_squared_error 0.958646 root_relative_squared_error 0.961531 root_relative_squared_error 0.962619 root_relative_squared_error 0.960993 root_relative_squared_error 0.962949 root_relative_squared_error 0.958231 root_relative_squared_error 0.959725 root_relative_squared_error 0.959371 root_relative_squared_error 0.961275 root_relative_squared_error 0.961458 root_relative_squared_error 0.95795 root_relative_squared_error 0.961363 root_relative_squared_error 0.961619 root_relative_squared_error 0.961677 root_relative_squared_error 0.961505 root_relative_squared_error 0.959856 root_relative_squared_error 0.956933 root_relative_squared_error 0.959964 root_relative_squared_error 0.961248 root_relative_squared_error 0.960204 root_relative_squared_error 0.960109 root_relative_squared_error 0.959802 root_relative_squared_error 0.958477 root_relative_squared_error 0.960662 root_relative_squared_error 0.959712 root_relative_squared_error 0.959741 root_relative_squared_error 0.960972 root_relative_squared_error 0.960662 root_relative_squared_error 0.963082 root_relative_squared_error 0.963123 root_relative_squared_error 0.963859 root_relative_squared_error 0.957902 root_relative_squared_error 0.962903 root_relative_squared_error 0.962413 root_relative_squared_error 0.963065 root_relative_squared_error 0.962617 root_relative_squared_error 0.963567 root_relative_squared_error 0.961898 root_relative_squared_error 0.960581 root_relative_squared_error 0.961445 root_relative_squared_error 0.965503 root_relative_squared_error 0.961984 root_relative_squared_error 0.961023 root_relative_squared_error 0.961515 root_relative_squared_error 0.960832 root_relative_squared_error 0.961493 root_relative_squared_error 0.958747 root_relative_squared_error 0.963833 root_relative_squared_error 0.961619 root_relative_squared_error 0.959742 root_relative_squared_error 0.962611 root_relative_squared_error 0.961352 root_relative_squared_error 0.962363 root_relative_squared_error 0.96153 root_relative_squared_error 0.962429 root_relative_squared_error 0.964974 root_relative_squared_error 0.96293 root_relative_squared_error 0.959539 root_relative_squared_error 0.961447 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