347999
2
Joaquin Vanschoren
4218
Supervised Classification
predictive_accuracy
1087
weka.HoeffdingTree(3)
1857
weka.classifiers.trees.HoeffdingTree -- -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0
L
2
1087
S
1
1087
E
1.0E-7
1087
H
0.05
1087
M
0.01
1087
G
200.0
1087
N
0.0
1087
-1
1198189
description
https://www.openml.org/data/download/1198189/weka_generated_run5849966423491386825.xml
-1
1198190
predictions
https://www.openml.org/data/download/1198190/weka_generated_predictions3005687039492583174.arff
area_under_roc_curve
0.735903 [0.767254,0.675237,0.678085,0.636111,0.68358,0.6794,0.725836]
average_cost
0
f_measure
0.598217 [0.82075,0.217975,0.239528,0.061212,0.152879,0.056119,0.161468]
kappa
0.224299
kb_relative_information_score
12644.237033
mean_absolute_error
0.141698
mean_prior_absolute_error
0.155821
number_of_instances
88440 [58030,7100,9010,4030,5600,2700,1970]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.570109 [0.736599,0.295493,0.297302,0.146204,0.271279,0.144615,0.203077]
predictive_accuracy
0.654839
prior_entropy
1.759357
recall
0.654839 [0.926607,0.172676,0.200555,0.03871,0.106429,0.034815,0.13401]
relative_absolute_error
0.909364
root_mean_prior_squared_error
0.279062
root_mean_squared_error
0.288518
root_relative_squared_error
1.033885
scimark_benchmark
1314.227947 [813.1658067645254, 958.2074025799751, 530.89829604343, 1090.9029850500742, 3177.965246289904]
total_cost
0
usercpu_time_millis
1170
usercpu_time_millis_testing
280
usercpu_time_millis_training
890
area_under_roc_curve
0.569584 [0.57803,0.568268,0.514319,0.513876,0.578472,0.609924,0.609653]
area_under_roc_curve
0.520596 [0.520688,0.527338,0.489965,0.504927,0.551773,0.529051,0.567582]
area_under_roc_curve
0.960481 [0.996628,0.893544,0.896813,0.850621,0.890315,0.893831,0.940694]
area_under_roc_curve
0.948913 [1,0.85181,0.86535,0.829556,0.86228,0.847384,0.810665]
area_under_roc_curve
0.956095 [0.994098,0.888613,0.864654,0.866331,0.889561,0.922559,0.914277]
area_under_roc_curve
0.955701 [0.993345,0.900855,0.887533,0.839246,0.882507,0.920573,0.848873]
area_under_roc_curve
0.963241 [0.996923,0.902758,0.893809,0.867663,0.91289,0.893249,0.938584]
area_under_roc_curve
0.516088 [0.524631,0.482775,0.480028,0.458284,0.499225,0.607809,0.587428]
area_under_roc_curve
0.774565 [0.796673,0.7355,0.754214,0.733565,0.755719,0.654191,0.659855]
area_under_roc_curve
0.9645 [0.997356,0.914437,0.915695,0.840651,0.895937,0.889644,0.948092]
area_under_roc_curve
0.520091 [0.522571,0.52297,0.51392,0.489842,0.508078,0.544721,0.528413]
area_under_roc_curve
0.562603 [0.569809,0.559937,0.529036,0.539995,0.57858,0.481028,0.628844]
area_under_roc_curve
0.551841 [0.549801,0.556624,0.55747,0.558924,0.529608,0.614888,0.530357]
area_under_roc_curve
0.950459 [1,0.867279,0.867303,0.855325,0.843465,0.828348,0.835491]
area_under_roc_curve
0.549166 [0.550064,0.55472,0.510846,0.511169,0.534691,0.620284,0.696329]
area_under_roc_curve
0.96349 [0.997016,0.902083,0.87754,0.88463,0.90562,0.931818,0.956821]
area_under_roc_curve
0.547121 [0.54509,0.50802,0.536709,0.531302,0.586593,0.584089,0.662977]
area_under_roc_curve
0.557531 [0.552153,0.587968,0.55427,0.536109,0.593691,0.55644,0.563468]
area_under_roc_curve
0.54185 [0.536459,0.556866,0.545038,0.594615,0.536673,0.554606,0.522572]
area_under_roc_curve
0.763681 [0.792602,0.689743,0.739203,0.693891,0.68191,0.702581,0.747197]
area_under_roc_curve
0.548104 [0.552232,0.493823,0.540999,0.478471,0.570201,0.642903,0.608758]
area_under_roc_curve
0.554169 [0.566364,0.531154,0.518288,0.493411,0.521842,0.543857,0.678285]
area_under_roc_curve
0.555559 [0.565082,0.552947,0.485584,0.534461,0.532128,0.622831,0.62459]
area_under_roc_curve
0.952694 [1,0.873412,0.866108,0.853343,0.860535,0.84965,0.845376]
area_under_roc_curve
0.565911 [0.572428,0.547574,0.54109,0.616109,0.53677,0.550311,0.555636]
area_under_roc_curve
0.966486 [0.996529,0.922051,0.900377,0.891479,0.901872,0.903781,0.964538]
area_under_roc_curve
0.539761 [0.544334,0.512389,0.505444,0.528669,0.578149,0.564858,0.539335]
area_under_roc_curve
0.571532 [0.577328,0.55466,0.563816,0.496109,0.594886,0.6126,0.527803]
area_under_roc_curve
0.762483 [0.794484,0.697088,0.7297,0.71466,0.655394,0.699322,0.693266]
area_under_roc_curve
0.758927 [0.783597,0.701076,0.738868,0.710296,0.698927,0.688876,0.697717]
area_under_roc_curve
0.960332 [0.994358,0.899107,0.878602,0.857358,0.915389,0.950445,0.910599]
area_under_roc_curve
0.50555 [0.505172,0.511394,0.467593,0.511746,0.520797,0.539713,0.567254]
area_under_roc_curve
0.548692 [0.546102,0.558977,0.528794,0.57765,0.579549,0.528296,0.560168]
area_under_roc_curve
0.949797 [1,0.862659,0.855416,0.812751,0.878457,0.846888,0.838237]
area_under_roc_curve
0.550045 [0.564924,0.467064,0.514297,0.540651,0.492849,0.553181,0.750491]
area_under_roc_curve
0.954709 [0.994206,0.872573,0.87418,0.896124,0.891985,0.830894,0.927225]
area_under_roc_curve
0.560691 [0.566099,0.576669,0.52894,0.540154,0.531762,0.591794,0.573326]
area_under_roc_curve
0.583022 [0.599194,0.556719,0.488281,0.554141,0.580099,0.617651,0.654393]
area_under_roc_curve
0.555761 [0.564364,0.485864,0.539299,0.506642,0.594542,0.530843,0.652601]
area_under_roc_curve
0.956113 [0.99394,0.88741,0.868769,0.852263,0.913493,0.879651,0.930694]
area_under_roc_curve
0.54698 [0.558652,0.532119,0.494081,0.471727,0.515291,0.563659,0.71603]
area_under_roc_curve
0.541281 [0.540801,0.513556,0.530521,0.527621,0.562726,0.573102,0.62636]
area_under_roc_curve
0.527531 [0.539128,0.57232,0.480122,0.501451,0.486467,0.454039,0.511921]
area_under_roc_curve
0.948384 [1,0.856184,0.849594,0.848581,0.862437,0.847854,0.796775]
area_under_roc_curve
0.538624 [0.548639,0.464633,0.567415,0.481035,0.505812,0.548792,0.579556]
area_under_roc_curve
0.963894 [0.994343,0.903687,0.914302,0.863756,0.896275,0.938243,0.946152]
area_under_roc_curve
0.965992 [0.995729,0.899667,0.912441,0.893832,0.899381,0.931847,0.960298]
area_under_roc_curve
0.564658 [0.577393,0.569141,0.47365,0.492174,0.565163,0.572929,0.733404]
area_under_roc_curve
0.562524 [0.572453,0.520763,0.525007,0.516766,0.516897,0.649553,0.702708]
area_under_roc_curve
0.550502 [0.557923,0.485941,0.495263,0.55354,0.582277,0.581162,0.683085]
area_under_roc_curve
0.956127 [0.99506,0.872772,0.874867,0.841884,0.904514,0.915683,0.916262]
area_under_roc_curve
0.519305 [0.521072,0.497826,0.474748,0.533146,0.581403,0.50175,0.566956]
area_under_roc_curve
0.536631 [0.537565,0.53457,0.518836,0.590062,0.455896,0.588422,0.646209]
area_under_roc_curve
0.947737 [1,0.847799,0.853498,0.853297,0.863009,0.833722,0.78774]
area_under_roc_curve
0.577313 [0.587452,0.505596,0.526064,0.512239,0.618325,0.640693,0.708062]
area_under_roc_curve
0.95599 [0.995293,0.87751,0.871264,0.839916,0.894216,0.918363,0.936842]
area_under_roc_curve
0.532791 [0.542145,0.429179,0.534376,0.440746,0.563568,0.586542,0.658473]
area_under_roc_curve
0.584791 [0.595023,0.550595,0.579107,0.56384,0.534755,0.575241,0.633404]
area_under_roc_curve
0.553619 [0.558314,0.493226,0.507704,0.551008,0.57503,0.703833,0.582507]
area_under_roc_curve
0.548121 [0.553638,0.511521,0.513588,0.612172,0.51267,0.636285,0.521053]
area_under_roc_curve
0.963452 [0.994771,0.894513,0.88912,0.907257,0.915394,0.899931,0.96713]
area_under_roc_curve
0.560208 [0.566808,0.567088,0.509502,0.575267,0.523734,0.635874,0.542419]
area_under_roc_curve
0.533947 [0.538314,0.520009,0.50121,0.530361,0.570728,0.499481,0.554803]
area_under_roc_curve
0.9479 [1,0.861502,0.856927,0.84657,0.846942,0.853969,0.760967]
area_under_roc_curve
0.543656 [0.545029,0.526757,0.529821,0.5709,0.573973,0.557327,0.462854]
area_under_roc_curve
0.96592 [0.997385,0.927611,0.891261,0.886555,0.899974,0.899196,0.962641]
area_under_roc_curve
0.517081 [0.531372,0.413925,0.496683,0.513566,0.47494,0.590302,0.586834]
area_under_roc_curve
0.565413 [0.579336,0.523916,0.492766,0.582376,0.511883,0.652275,0.642044]
area_under_roc_curve
0.544314 [0.542397,0.540019,0.554597,0.470518,0.532641,0.602554,0.681047]
area_under_roc_curve
0.547533 [0.556091,0.549157,0.51235,0.496268,0.561163,0.510286,0.570246]
area_under_roc_curve
0.963465 [0.997173,0.912643,0.908158,0.862604,0.90185,0.876291,0.907176]
area_under_roc_curve
0.519328 [0.514542,0.553757,0.520508,0.453777,0.551436,0.599637,0.463397]
area_under_roc_curve
0.534366 [0.533235,0.504314,0.541709,0.574245,0.524155,0.54017,0.581829]
area_under_roc_curve
0.947095 [1,0.843892,0.853114,0.857198,0.843556,0.82093,0.842159]
area_under_roc_curve
0.531989 [0.533422,0.458266,0.522887,0.468617,0.638889,0.633973,0.48287]
area_under_roc_curve
0.961675 [0.995633,0.90269,0.882704,0.886567,0.901149,0.924673,0.911285]
area_under_roc_curve
0.551783 [0.56643,0.481325,0.453974,0.56992,0.555674,0.641298,0.649248]
area_under_roc_curve
0.571633 [0.581378,0.494595,0.580458,0.521534,0.584627,0.622953,0.517361]
area_under_roc_curve
0.532722 [0.531692,0.505076,0.51307,0.518943,0.545689,0.620662,0.621701]
area_under_roc_curve
0.550596 [0.552396,0.583927,0.534355,0.508101,0.527249,0.540883,0.616638]
area_under_roc_curve
0.962177 [0.995123,0.90308,0.889966,0.872512,0.91107,0.932214,0.904369]
area_under_roc_curve
0.519333 [0.518824,0.469406,0.476385,0.569846,0.540804,0.656381,0.558449]
area_under_roc_curve
0.512125 [0.505853,0.523431,0.489959,0.491217,0.529104,0.572842,0.665914]
area_under_roc_curve
0.946509 [1,0.871498,0.849118,0.836863,0.830271,0.811768,0.826476]
area_under_roc_curve
0.545613 [0.552651,0.511538,0.541254,0.468187,0.532512,0.556528,0.658883]
area_under_roc_curve
0.963261 [0.997204,0.913761,0.883676,0.862515,0.910477,0.904922,0.940799]
area_under_roc_curve
0.564322 [0.57135,0.563398,0.523922,0.53045,0.519766,0.605061,0.683073]
area_under_roc_curve
0.569863 [0.579517,0.557109,0.537699,0.528051,0.546142,0.562665,0.639641]
area_under_roc_curve
0.539231 [0.547156,0.513712,0.503505,0.556339,0.570792,0.48079,0.517101]
area_under_roc_curve
0.585543 [0.592899,0.579318,0.506283,0.619416,0.599336,0.646463,0.562384]
area_under_roc_curve
0.961615 [0.996529,0.919096,0.883802,0.883235,0.884683,0.902113,0.90272]
area_under_roc_curve
0.543201 [0.554007,0.497575,0.487091,0.49492,0.53621,0.559337,0.738657]
area_under_roc_curve
0.53931 [0.543588,0.538113,0.534054,0.392906,0.586892,0.551817,0.585851]
area_under_roc_curve
0.94735 [1,0.870866,0.84774,0.833131,0.844397,0.827348,0.818953]
area_under_roc_curve
0.572397 [0.579897,0.471329,0.566926,0.515018,0.550466,0.647759,0.812731]
area_under_roc_curve
0.963851 [0.995534,0.91312,0.892114,0.907627,0.903112,0.900774,0.915625]
area_under_roc_curve
0.56187 [0.569119,0.542583,0.493017,0.528747,0.573477,0.690825,0.589612]
area_under_roc_curve
0.543669 [0.555765,0.442683,0.512874,0.508323,0.524694,0.590605,0.750434]
area_under_roc_curve
0.529753 [0.52929,0.521361,0.538133,0.490121,0.489842,0.593673,0.639959]
area_under_roc_curve
0.548009 [0.558485,0.565528,0.491821,0.498386,0.530398,0.525779,0.613426]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.515063 [0.773598,0.044444,0.035714,0,0,0,0]
f_measure
0.512202 [0.772404,0.06383,0,0,0,0,0]
f_measure
0.732925 [0.929293,0.43787,0.47619,0.066667,0.344262,0.2,0.371429]
f_measure
0.709444 [0.97479,0.225352,0.386617,0.237288,0.032258,0,0]
f_measure
0.73586 [0.930657,0.438202,0.353535,0.218182,0.4,0.333333,0.373333]
f_measure
0.729885 [0.934307,0.435754,0.41791,0.1,0.402985,0.108108,0.253968]
f_measure
0.740701 [0.927054,0.476744,0.490909,0.103448,0.436975,0.122449,0.347826]
f_measure
0.50591 [0.763139,0.061224,0,0,0,0,0]
f_measure
0.560038 [0.806992,0.111111,0.190476,0.043478,0,0,0]
f_measure
0.736831 [0.93211,0.458824,0.472906,0.15873,0.345865,0.15,0.28169]
f_measure
0.521541 [0.77263,0.065934,0.068966,0,0.031746,0,0]
f_measure
0.538175 [0.780172,0.16,0.09434,0.076923,0,0,0]
f_measure
0.515855 [0.768683,0.047619,0.072727,0,0,0,0]
f_measure
0.713482 [0.978939,0.291667,0.43609,0.067797,0,0,0]
f_measure
0.523473 [0.769559,0.091954,0.088496,0.041667,0,0,0]
f_measure
0.747361 [0.932234,0.405063,0.46696,0.181818,0.439024,0.363636,0.366197]
f_measure
0.506601 [0.761429,0.022989,0.048,0,0,0,0]
f_measure
0.516318 [0.764413,0.024096,0.105263,0.040816,0,0,0]
f_measure
0.509187 [0.769993,0.022727,0.018349,0,0,0,0]
f_measure
0.557306 [0.812095,0.111111,0.15,0,0,0,0]
f_measure
0.513038 [0.765255,0.043011,0.070796,0,0,0,0]
f_measure
0.519687 [0.773181,0.081633,0.054545,0,0,0,0]
f_measure
0.51847 [0.773733,0.083333,0.018692,0.041667,0,0,0]
f_measure
0.727989 [0.978939,0.373134,0.435714,0.196721,0.034483,0,0]
f_measure
0.515399 [0.774148,0.065934,0,0.041667,0,0,0]
f_measure
0.737116 [0.91937,0.51087,0.477064,0.111111,0.389831,0.227273,0.328767]
f_measure
0.507505 [0.77305,0,0,0,0,0,0]
f_measure
0.524001 [0.772954,0.11236,0.053097,0,0.033898,0,0]
f_measure
0.540236 [0.797729,0.043011,0.110092,0.041667,0,0,0]
f_measure
0.550213 [0.806013,0.045977,0.153846,0,0.027397,0,0]
f_measure
0.733986 [0.924214,0.382716,0.435897,0.105263,0.492063,0.307692,0.342857]
f_measure
0.504513 [0.759166,0.021277,0.051282,0,0,0,0]
f_measure
0.509713 [0.763869,0.089888,0.018349,0,0,0,0]
f_measure
0.717321 [0.969141,0.408163,0.361538,0.117647,0.065574,0.068966,0]
f_measure
0.519778 [0.779202,0.067416,0.036036,0,0,0,0]
f_measure
0.719391 [0.923643,0.362637,0.403756,0.253968,0.330579,0.090909,0.366667]
f_measure
0.525494 [0.77738,0.070588,0.066116,0.076923,0,0,0]
f_measure
0.529964 [0.780276,0.142857,0.070175,0,0,0,0]
f_measure
0.517101 [0.77762,0.023256,0.054545,0,0,0,0]
f_measure
0.713991 [0.924494,0.324022,0.366337,0.075472,0.484375,0.086957,0.342105]
f_measure
0.515086 [0.771879,0.021978,0.050847,0.037736,0,0,0]
f_measure
0.514631 [0.77305,0.043956,0.019417,0,0.030303,0,0]
f_measure
0.527885 [0.782918,0.129032,0.037736,0,0,0,0]
f_measure
0.70542 [0.973154,0.308824,0.355556,0.035088,0.067797,0,0]
f_measure
0.512578 [0.768354,0.105263,0,0,0,0,0]
f_measure
0.744302 [0.934186,0.456376,0.480392,0.153846,0.393939,0.24,0.297297]
f_measure
0.75163 [0.935041,0.488636,0.4689,0.178571,0.390244,0.367347,0.322581]
f_measure
0.529436 [0.774147,0.149533,0.034188,0.044444,0.0625,0,0]
f_measure
0.518833 [0.773826,0.043956,0.055556,0.041667,0,0,0]
f_measure
0.51721 [0.771552,0.045455,0.072072,0,0,0,0]
f_measure
0.717938 [0.922366,0.439024,0.403587,0.105263,0.357724,0.136364,0.213333]
f_measure
0.507855 [0.765205,0.022472,0.039216,0,0,0,0]
f_measure
0.518276 [0.775106,0.045455,0.019231,0.090909,0,0,0]
f_measure
0.704239 [0.97479,0.253968,0.398601,0.04,0.028986,0,0]
f_measure
0.511502 [0.771084,0.046512,0.018182,0,0,0,0]
f_measure
0.719129 [0.929163,0.351351,0.408511,0.107143,0.380952,0.088889,0.366197]
f_measure
0.527554 [0.776978,0.086022,0.055556,0,0.082192,0,0]
f_measure
0.537018 [0.778098,0.194175,0.072072,0.076923,0,0,0]
f_measure
0.519201 [0.774839,0.065217,0.034783,0,0.032258,0,0]
f_measure
0.528603 [0.777224,0.089888,0.075472,0.040816,0.029412,0,0]
f_measure
0.741508 [0.933333,0.392405,0.456621,0.169492,0.46281,0.142857,0.432432]
f_measure
0.514121 [0.772179,0.044944,0.038095,0,0,0,0]
f_measure
0.513584 [0.771084,0.023529,0.036364,0,0.032787,0,0]
f_measure
0.716907 [0.977254,0.305556,0.369231,0.034483,0.125,0.133333,0]
f_measure
0.516814 [0.77153,0.085106,0.037037,0,0,0,0]
f_measure
0.728767 [0.909944,0.490566,0.46696,0.175439,0.405594,0.1,0.368421]
f_measure
0.527987 [0.778098,0.043956,0.10084,0.04,0.029412,0,0]
f_measure
0.529302 [0.774147,0.061856,0.107692,0.117647,0,0,0]
f_measure
0.518942 [0.774608,0.048193,0.067227,0,0,0,0]
f_measure
0.52915 [0.78,0.105263,0.087719,0,0,0,0]
f_measure
0.739844 [0.929293,0.444444,0.53,0.181818,0.353846,0.090909,0.311688]
f_measure
0.515456 [0.773558,0.046512,0.020408,0.046512,0,0,0]
f_measure
0.525188 [0.774698,0.065934,0.038462,0.085106,0.060606,0,0]
f_measure
0.708978 [0.978078,0.245614,0.392157,0.044444,0.088235,0,0]
f_measure
0.50886 [0.764579,0.044944,0.035398,0,0,0,0]
f_measure
0.732543 [0.936131,0.445714,0.407767,0.140351,0.348485,0.157895,0.34375]
f_measure
0.522604 [0.774982,0.0625,0.05042,0.043478,0.031746,0,0]
f_measure
0.533498 [0.777143,0.134831,0.106195,0.043478,0,0,0]
f_measure
0.511454 [0.765292,0.046512,0.055046,0,0,0,0]
f_measure
0.507464 [0.767806,0.02439,0.017094,0,0,0,0]
f_measure
0.737299 [0.927054,0.494118,0.432432,0.076923,0.412214,0.26087,0.34375]
f_measure
0.51656 [0.767691,0.065934,0.055556,0,0.030303,0,0]
f_measure
0.508213 [0.760543,0.022222,0.054054,0.042553,0,0,0]
f_measure
0.718744 [0.978903,0.287879,0.380282,0.117647,0.147059,0,0]
f_measure
0.515746 [0.772857,0.06383,0.034783,0,0,0,0]
f_measure
0.750739 [0.932843,0.526316,0.488038,0.190476,0.42963,0.090909,0.358974]
f_measure
0.532175 [0.778571,0.068966,0.136752,0.041667,0,0,0]
f_measure
0.538488 [0.77551,0.146789,0.086207,0.16,0.029412,0,0]
f_measure
0.527695 [0.777937,0.022727,0.117647,0.076923,0,0,0]
f_measure
0.516941 [0.768137,0.023256,0.073394,0.08,0,0,0]
f_measure
0.726634 [0.926199,0.457143,0.398104,0.107143,0.386555,0.173913,0.311688]
f_measure
0.520034 [0.780591,0.049383,0.038462,0,0,0,0]
f_measure
0.507033 [0.758769,0.042105,0.038835,0,0.029412,0,0]
f_measure
0.711244 [0.978903,0.318841,0.387097,0,0.0625,0,0]
f_measure
0.516578 [0.773371,0.044944,0.054545,0,0,0,0]
f_measure
0.729319 [0.929163,0.420455,0.398058,0.16,0.373984,0.204082,0.363636]
f_measure
0.531318 [0.775568,0.137931,0.072727,0.043478,0.031746,0,0]
f_measure
0.530206 [0.779539,0.087912,0.114754,0,0,0,0]
f_measure
0.521631 [0.770328,0.063158,0.09009,0.043478,0,0,0]
f_measure
0.517249 [0.771879,0.021978,0.054054,0.037736,0.028986,0,0]
kappa
0.002884
kappa
0.00053
kappa
0.521469
kappa
0.502137
kappa
0.521821
kappa
0.515231
kappa
0.537473
kappa
-0.01048
kappa
0.12878
kappa
0.524762
kappa
0.015586
kappa
0.058364
kappa
0.001833
kappa
0.517342
kappa
0.014059
kappa
0.544087
kappa
-0.018405
kappa
-0.001975
kappa
-0.01277
kappa
0.11902
kappa
0.001663
kappa
0.014637
kappa
0.014382
kappa
0.542929
kappa
0.004952
kappa
0.533707
kappa
-0.010545
kappa
0.018945
kappa
0.068031
kappa
0.098375
kappa
0.524053
kappa
-0.015136
kappa
-0.011001
kappa
0.51424
kappa
0.021424
kappa
0.493047
kappa
0.03286
kappa
0.055165
kappa
0.011213
kappa
0.488902
kappa
0.009903
kappa
0.001255
kappa
0.036319
kappa
0.493221
kappa
-0.00162
kappa
0.535577
kappa
0.552208
kappa
0.046374
kappa
0.011
kappa
0.014667
kappa
0.491313
kappa
-0.020027
kappa
0.006536
kappa
0.500152
kappa
-0.007215
kappa
0.497716
kappa
0.037994
kappa
0.057542
kappa
0.016281
kappa
0.030647
kappa
0.537862
kappa
0.00036
kappa
-0.003639
kappa
0.507651
kappa
0.006559
kappa
0.520737
kappa
0.040065
kappa
0.044929
kappa
0.014168
kappa
0.037932
kappa
0.530409
kappa
-0.004134
kappa
0.021448
kappa
0.508604
kappa
-0.002968
kappa
0.519648
kappa
0.026206
kappa
0.041291
kappa
-0.009159
kappa
-0.012749
kappa
0.532068
kappa
0.005779
kappa
-0.015275
kappa
0.516398
kappa
0.008153
kappa
0.552257
kappa
0.041033
kappa
0.065187
kappa
0.035533
kappa
0.002431
kappa
0.509566
kappa
0.010583
kappa
-0.016654
kappa
0.510109
kappa
0.00291
kappa
0.513778
kappa
0.031295
kappa
0.045626
kappa
0.014056
kappa
0.013577
kb_relative_information_score
-13.76189
kb_relative_information_score
-54.577851
kb_relative_information_score
420.391843
kb_relative_information_score
442.079291
kb_relative_information_score
430.730274
kb_relative_information_score
414.479522
kb_relative_information_score
447.375313
kb_relative_information_score
-57.148204
kb_relative_information_score
158.518573
kb_relative_information_score
437.043435
kb_relative_information_score
-49.706612
kb_relative_information_score
-15.151579
kb_relative_information_score
-25.623558
kb_relative_information_score
446.37627
kb_relative_information_score
-13.32085
kb_relative_information_score
442.869269
kb_relative_information_score
-28.796111
kb_relative_information_score
-19.510419
kb_relative_information_score
-26.196561
kb_relative_information_score
143.895439
kb_relative_information_score
-33.69834
kb_relative_information_score
-30.456665
kb_relative_information_score
-32.692366
kb_relative_information_score
451.80544
kb_relative_information_score
-21.511003
kb_relative_information_score
440.904082
kb_relative_information_score
-40.263223
kb_relative_information_score
-6.180692
kb_relative_information_score
164.573634
kb_relative_information_score
135.827998
kb_relative_information_score
429.227238
kb_relative_information_score
-68.247785
kb_relative_information_score
-33.475427
kb_relative_information_score
441.763232
kb_relative_information_score
-4.586499
kb_relative_information_score
400.458405
kb_relative_information_score
-26.041356
kb_relative_information_score
2.599409
kb_relative_information_score
-23.82712
kb_relative_information_score
401.727326
kb_relative_information_score
-26.410341
kb_relative_information_score
-37.924037
kb_relative_information_score
-46.824622
kb_relative_information_score
437.015483
kb_relative_information_score
-23.106393
kb_relative_information_score
451.977907
kb_relative_information_score
451.843514
kb_relative_information_score
-21.130858
kb_relative_information_score
-8.101338
kb_relative_information_score
-16.355356
kb_relative_information_score
388.915349
kb_relative_information_score
-50.494259
kb_relative_information_score
-36.38603
kb_relative_information_score
433.589972
kb_relative_information_score
-10.716027
kb_relative_information_score
400.724214
kb_relative_information_score
-33.162386
kb_relative_information_score
1.314191
kb_relative_information_score
-30.611568
kb_relative_information_score
-29.639934
kb_relative_information_score
435.90331
kb_relative_information_score
-26.743021
kb_relative_information_score
-34.801573
kb_relative_information_score
434.460802
kb_relative_information_score
-33.895322
kb_relative_information_score
437.713512
kb_relative_information_score
-43.79899
kb_relative_information_score
-27.782419
kb_relative_information_score
-23.487852
kb_relative_information_score
-26.405756
kb_relative_information_score
434.453636
kb_relative_information_score
-48.340303
kb_relative_information_score
-34.079614
kb_relative_information_score
442.452139
kb_relative_information_score
-38.741796
kb_relative_information_score
418.339742
kb_relative_information_score
-24.546124
kb_relative_information_score
1.246737
kb_relative_information_score
-25.921106
kb_relative_information_score
-39.084144
kb_relative_information_score
437.631231
kb_relative_information_score
-40.173877
kb_relative_information_score
-52.950427
kb_relative_information_score
437.051943
kb_relative_information_score
-36.895986
kb_relative_information_score
438.348472
kb_relative_information_score
-14.305979
kb_relative_information_score
-11.602635
kb_relative_information_score
-39.273448
kb_relative_information_score
2.394166
kb_relative_information_score
422.854944
kb_relative_information_score
-28.200533
kb_relative_information_score
-36.673115
kb_relative_information_score
443.261857
kb_relative_information_score
-5.532039
kb_relative_information_score
419.294437
kb_relative_information_score
-14.097402
kb_relative_information_score
-16.744305
kb_relative_information_score
-31.052056
kb_relative_information_score
-28.429436
mean_absolute_error
0.171297
mean_absolute_error
0.177425
mean_absolute_error
0.083226
mean_absolute_error
0.078522
mean_absolute_error
0.083361
mean_absolute_error
0.084347
mean_absolute_error
0.081532
mean_absolute_error
0.178916
mean_absolute_error
0.125758
mean_absolute_error
0.080712
mean_absolute_error
0.175981
mean_absolute_error
0.169883
mean_absolute_error
0.171305
mean_absolute_error
0.077583
mean_absolute_error
0.170769
mean_absolute_error
0.080598
mean_absolute_error
0.174024
mean_absolute_error
0.171267
mean_absolute_error
0.170374
mean_absolute_error
0.127108
mean_absolute_error
0.17274
mean_absolute_error
0.172588
mean_absolute_error
0.17491
mean_absolute_error
0.077309
mean_absolute_error
0.170854
mean_absolute_error
0.081597
mean_absolute_error
0.175055
mean_absolute_error
0.166652
mean_absolute_error
0.12164
mean_absolute_error
0.12835
mean_absolute_error
0.083642
mean_absolute_error
0.179155
mean_absolute_error
0.173051
mean_absolute_error
0.078081
mean_absolute_error
0.167064
mean_absolute_error
0.087007
mean_absolute_error
0.174393
mean_absolute_error
0.167516
mean_absolute_error
0.172689
mean_absolute_error
0.087514
mean_absolute_error
0.173256
mean_absolute_error
0.174807
mean_absolute_error
0.174798
mean_absolute_error
0.079361
mean_absolute_error
0.16977
mean_absolute_error
0.079841
mean_absolute_error
0.079193
mean_absolute_error
0.173089
mean_absolute_error
0.169103
mean_absolute_error
0.170548
mean_absolute_error
0.088863
mean_absolute_error
0.176796
mean_absolute_error
0.174231
mean_absolute_error
0.079151
mean_absolute_error
0.170514
mean_absolute_error
0.087318
mean_absolute_error
0.175309
mean_absolute_error
0.167827
mean_absolute_error
0.175125
mean_absolute_error
0.173247
mean_absolute_error
0.08044
mean_absolute_error
0.172913
mean_absolute_error
0.172235
mean_absolute_error
0.079214
mean_absolute_error
0.174119
mean_absolute_error
0.084922
mean_absolute_error
0.1752
mean_absolute_error
0.17595
mean_absolute_error
0.172484
mean_absolute_error
0.169818
mean_absolute_error
0.081899
mean_absolute_error
0.174481
mean_absolute_error
0.173484
mean_absolute_error
0.078375
mean_absolute_error
0.175282
mean_absolute_error
0.083288
mean_absolute_error
0.174168
mean_absolute_error
0.165675
mean_absolute_error
0.172107
mean_absolute_error
0.175439
mean_absolute_error
0.081991
mean_absolute_error
0.173875
mean_absolute_error
0.177048
mean_absolute_error
0.078743
mean_absolute_error
0.174676
mean_absolute_error
0.080653
mean_absolute_error
0.172978
mean_absolute_error
0.169584
mean_absolute_error
0.175557
mean_absolute_error
0.166502
mean_absolute_error
0.083859
mean_absolute_error
0.171268
mean_absolute_error
0.17181
mean_absolute_error
0.077805
mean_absolute_error
0.170451
mean_absolute_error
0.083888
mean_absolute_error
0.172516
mean_absolute_error
0.171558
mean_absolute_error
0.173929
mean_absolute_error
0.171958
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155938
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155938
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155938
mean_prior_absolute_error
0.155964
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155806
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155824
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155832
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,41,56,27,19]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [580,71,91,41,56,27,19]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
885 [580,71,91,41,56,27,19]
number_of_instances
885 [581,71,90,40,56,27,20]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
885 [580,71,91,41,56,27,19]
number_of_instances
885 [580,71,90,41,56,27,20]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
885 [580,71,91,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,91,40,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,41,56,27,19]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
precision
0.449805 [0.658213,0.105263,0.090909,0,0,0,0]
precision
0.442559 [0.658182,0.130435,0,0,0,0,0]
precision
0.763736 [0.996063,0.377551,0.416667,0.1,0.318182,0.217391,0.26]
precision
0.698452 [0.95082,0.225352,0.292135,0.368421,0.166667,0,0]
precision
0.771504 [0.990291,0.364486,0.324074,0.4,0.375,0.380952,0.254545]
precision
0.759112 [0.994175,0.361111,0.378378,0.15,0.346154,0.2,0.186047]
precision
0.774649 [1,0.405941,0.415385,0.166667,0.412698,0.136364,0.244898]
precision
0.439537 [0.655941,0.111111,0,0,0,0,0]
precision
0.512839 [0.699495,0.263158,0.245614,0.166667,0,0,0]
precision
0.770207 [0.998035,0.393939,0.424779,0.217391,0.298701,0.230769,0.196078]
precision
0.469592 [0.659367,0.15,0.153846,0,0.142857,0,0]
precision
0.501888 [0.669544,0.275862,0.3125,0.181818,0,0,0]
precision
0.46291 [0.65534,0.153846,0.2,0,0,0,0]
precision
0.690763 [0.958746,0.287671,0.329545,0.105263,0,0,0]
precision
0.478317 [0.655758,0.25,0.217391,0.125,0,0,0]
precision
0.783461 [0.996086,0.367816,0.386861,0.333333,0.402985,0.470588,0.254902]
precision
0.440975 [0.650794,0.0625,0.085714,0,0,0,0]
precision
0.46497 [0.651699,0.083333,0.25,0.111111,0,0,0]
precision
0.43932 [0.653846,0.058824,0.052632,0,0,0,0]
precision
0.509869 [0.69802,0.263158,0.3,0,0,0,0]
precision
0.455907 [0.656404,0.090909,0.173913,0,0,0,0]
precision
0.46054 [0.660171,0.148148,0.15,0,0,0,0]
precision
0.459365 [0.660976,0.16,0.058824,0.142857,0,0,0]
precision
0.738451 [0.958746,0.396825,0.321053,0.285714,0.5,0,0]
precision
0.450321 [0.659008,0.15,0,0.125,0,0,0]
precision
0.775791 [0.995984,0.415929,0.40625,0.214286,0.370968,0.294118,0.226415]
precision
0.431593 [0.657419,0,0,0,0,0,0]
precision
0.489261 [0.658981,0.277778,0.130435,0,0.333333,0,0]
precision
0.490651 [0.678744,0.090909,0.315789,0.125,0,0,0]
precision
0.5006 [0.689951,0.125,0.333333,0,0.058824,0,0]
precision
0.773773 [0.996016,0.340659,0.356643,0.1875,0.442857,0.5,0.235294]
precision
0.442028 [0.651048,0.043478,0.115385,0,0,0,0]
precision
0.449609 [0.650121,0.222222,0.055556,0,0,0,0]
precision
0.729868 [0.940129,0.394737,0.276471,0.272727,0.4,0.5,0]
precision
0.458709 [0.663835,0.166667,0.1,0,0,0,0]
precision
0.753991 [0.990138,0.297297,0.352459,0.347826,0.307692,0.117647,0.275]
precision
0.474899 [0.664627,0.214286,0.133333,0.181818,0,0,0]
precision
0.473889 [0.673342,0.195122,0.166667,0,0,0,0]
precision
0.454032 [0.659856,0.066667,0.157895,0,0,0,0]
precision
0.748659 [0.992095,0.268519,0.333333,0.153846,0.430556,0.105263,0.232143]
precision
0.452049 [0.660934,0.05,0.107143,0.076923,0,0,0]
precision
0.453016 [0.656627,0.1,0.076923,0,0.1,0,0]
precision
0.472037 [0.666667,0.272727,0.125,0,0,0,0]
precision
0.720031 [0.947712,0.323077,0.266667,0.0625,0.666667,0,0]
precision
0.446432 [0.654921,0.208333,0,0,0,0,0]
precision
0.77465 [0.994163,0.435897,0.429825,0.208333,0.342105,0.26087,0.2]
precision
0.784009 [0.996101,0.409524,0.411765,0.333333,0.358209,0.409091,0.232558]
precision
0.4916 [0.668758,0.222222,0.074074,0.25,0.25,0,0]
precision
0.463736 [0.658596,0.1,0.166667,0.142857,0,0,0]
precision
0.462746 [0.66133,0.117647,0.190476,0,0,0,0]
precision
0.755192 [0.994024,0.387097,0.338346,0.176471,0.328358,0.176471,0.145455]
precision
0.447036 [0.648681,0.055556,0.166667,0,0,0,0]
precision
0.470458 [0.657074,0.117647,0.071429,0.5,0,0,0]
precision
0.68684 [0.95082,0.290909,0.290816,0.111111,0.076923,0,0]
precision
0.44531 [0.654633,0.133333,0.05,0,0,0,0]
precision
0.754105 [0.996055,0.337662,0.331034,0.2,0.342857,0.111111,0.25]
precision
0.480156 [0.666667,0.181818,0.166667,0,0.176471,0,0]
precision
0.491413 [0.668317,0.3125,0.190476,0.181818,0,0,0]
precision
0.464378 [0.661783,0.142857,0.08,0,0.166667,0,0]
precision
0.488602 [0.661818,0.222222,0.25,0.125,0.083333,0,0]
precision
0.771101 [0.992233,0.356322,0.387597,0.263158,0.430769,0.2,0.296296]
precision
0.453045 [0.656212,0.111111,0.133333,0,0,0,0]
precision
0.458098 [0.654633,0.071429,0.1,0,0.2,0,0]
precision
0.73464 [0.955519,0.30137,0.282353,0.058824,0.5,0.666667,0]
precision
0.456324 [0.65697,0.173913,0.111111,0,0,0,0]
precision
0.775328 [0.997942,0.443182,0.386861,0.3125,0.333333,0.153846,0.245614]
precision
0.477388 [0.668317,0.1,0.206897,0.1,0.083333,0,0]
precision
0.478862 [0.668758,0.115385,0.179487,0.272727,0,0,0]
precision
0.460844 [0.660584,0.166667,0.137931,0,0,0,0]
precision
0.474815 [0.665854,0.208333,0.208333,0,0,0,0]
precision
0.771557 [0.994106,0.395604,0.481818,0.230769,0.310811,0.117647,0.210526]
precision
0.467093 [0.653207,0.133333,0.125,0.333333,0,0,0]
precision
0.484571 [0.659008,0.15,0.142857,0.285714,0.2,0,0]
precision
0.707276 [0.957096,0.325581,0.277778,0.2,0.25,0,0]
precision
0.448424 [0.656366,0.111111,0.086957,0,0,0,0]
precision
0.763079 [0.994186,0.375,0.362069,0.235294,0.302632,0.272727,0.25]
precision
0.472819 [0.664612,0.12,0.103448,0.166667,0.142857,0,0]
precision
0.496145 [0.663415,0.333333,0.26087,0.166667,0,0,0]
precision
0.454128 [0.651332,0.133333,0.157895,0,0,0,0]
precision
0.44025 [0.654126,0.090909,0.037037,0,0,0,0]
precision
0.771548 [0.998012,0.424242,0.363636,0.166667,0.36,0.315789,0.25]
precision
0.465546 [0.655678,0.15,0.166667,0,0.1,0,0]
precision
0.451426 [0.649573,0.052632,0.142857,0.142857,0,0,0]
precision
0.721088 [0.958678,0.311475,0.278351,0.272727,0.416667,0,0]
precision
0.451493 [0.659756,0.130435,0.08,0,0,0,0]
precision
0.783517 [1,0.493827,0.428571,0.26087,0.367089,0.117647,0.241379]
precision
0.486954 [0.664634,0.1875,0.296296,0.125,0,0,0]
precision
0.500586 [0.671717,0.210526,0.192308,0.4,0.083333,0,0]
precision
0.473442 [0.665441,0.058824,0.241379,0.166667,0,0,0]
precision
0.464771 [0.653753,0.066667,0.210526,0.2,0,0,0]
precision
0.76254 [0.996032,0.384615,0.347107,0.1875,0.365079,0.210526,0.210526]
precision
0.463078 [0.659145,0.2,0.142857,0,0,0,0]
precision
0.453263 [0.648715,0.083333,0.153846,0,0.083333,0,0]
precision
0.700295 [0.958678,0.328358,0.285714,0,0.25,0,0]
precision
0.454767 [0.65625,0.111111,0.15,0,0,0,0]
precision
0.770152 [0.996055,0.352381,0.353448,0.4,0.343284,0.227273,0.245614]
precision
0.499723 [0.65942,0.375,0.2,0.166667,0.142857,0,0]
precision
0.477635 [0.669554,0.2,0.21875,0,0,0,0]
precision
0.472842 [0.656934,0.125,0.238095,0.166667,0,0,0]
precision
0.460558 [0.660934,0.05,0.142857,0.076923,0.076923,0,0]
predictive_accuracy
0.620339
predictive_accuracy
0.616949
predictive_accuracy
0.716384
predictive_accuracy
0.741243
predictive_accuracy
0.718644
predictive_accuracy
0.715254
predictive_accuracy
0.724294
predictive_accuracy
0.60226
predictive_accuracy
0.648588
predictive_accuracy
0.718644
predictive_accuracy
0.621469
predictive_accuracy
0.630508
predictive_accuracy
0.616949
predictive_accuracy
0.748023
predictive_accuracy
0.622599
predictive_accuracy
0.731073
predictive_accuracy
0.60678
predictive_accuracy
0.615819
predictive_accuracy
0.616949
predictive_accuracy
0.653107
predictive_accuracy
0.60904
predictive_accuracy
0.620339
predictive_accuracy
0.619209
predictive_accuracy
0.761582
predictive_accuracy
0.620339
predictive_accuracy
0.720904
predictive_accuracy
0.615819
predictive_accuracy
0.623729
predictive_accuracy
0.645198
predictive_accuracy
0.649718
predictive_accuracy
0.716384
predictive_accuracy
0.60113
predictive_accuracy
0.612429
predictive_accuracy
0.750282
predictive_accuracy
0.623729
predictive_accuracy
0.699435
predictive_accuracy
0.623729
predictive_accuracy
0.621469
predictive_accuracy
0.624859
predictive_accuracy
0.696045
predictive_accuracy
0.614253
predictive_accuracy
0.621041
predictive_accuracy
0.631222
predictive_accuracy
0.737557
predictive_accuracy
0.615385
predictive_accuracy
0.726244
predictive_accuracy
0.736425
predictive_accuracy
0.617647
predictive_accuracy
0.622172
predictive_accuracy
0.614253
predictive_accuracy
0.696833
predictive_accuracy
0.615385
predictive_accuracy
0.625566
predictive_accuracy
0.74095
predictive_accuracy
0.618778
predictive_accuracy
0.702489
predictive_accuracy
0.622172
predictive_accuracy
0.628959
predictive_accuracy
0.61991
predictive_accuracy
0.628959
predictive_accuracy
0.728507
predictive_accuracy
0.61991
predictive_accuracy
0.61991
predictive_accuracy
0.743213
predictive_accuracy
0.61991
predictive_accuracy
0.709276
predictive_accuracy
0.622172
predictive_accuracy
0.617647
predictive_accuracy
0.621041
predictive_accuracy
0.628959
predictive_accuracy
0.721719
predictive_accuracy
0.626697
predictive_accuracy
0.626697
predictive_accuracy
0.744344
predictive_accuracy
0.605204
predictive_accuracy
0.718326
predictive_accuracy
0.618778
predictive_accuracy
0.63009
predictive_accuracy
0.614253
predictive_accuracy
0.611991
predictive_accuracy
0.721719
predictive_accuracy
0.615385
predictive_accuracy
0.607466
predictive_accuracy
0.747738
predictive_accuracy
0.617647
predictive_accuracy
0.734163
predictive_accuracy
0.63009
predictive_accuracy
0.622172
predictive_accuracy
0.625566
predictive_accuracy
0.618778
predictive_accuracy
0.708145
predictive_accuracy
0.632353
predictive_accuracy
0.605204
predictive_accuracy
0.744344
predictive_accuracy
0.623303
predictive_accuracy
0.711538
predictive_accuracy
0.631222
predictive_accuracy
0.624434
predictive_accuracy
0.621041
predictive_accuracy
0.615385
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
recall
0.620339 [0.938038,0.028169,0.022222,0,0,0,0]
recall
0.616949 [0.934596,0.042254,0,0,0,0,0]
recall
0.716384 [0.870912,0.521127,0.555556,0.05,0.375,0.185185,0.65]
recall
0.741243 [1,0.225352,0.571429,0.175,0.017857,0,0]
recall
0.718644 [0.877797,0.549296,0.388889,0.15,0.428571,0.296296,0.7]
recall
0.715254 [0.881239,0.549296,0.466667,0.075,0.482143,0.074074,0.4]
recall
0.724294 [0.864028,0.577465,0.6,0.075,0.464286,0.111111,0.6]
recall
0.60226 [0.91222,0.042254,0,0,0,0,0]
recall
0.648588 [0.953528,0.070423,0.155556,0.025,0,0,0]
recall
0.718644 [0.874355,0.549296,0.533333,0.125,0.410714,0.111111,0.5]
recall
0.621469 [0.932874,0.042254,0.044444,0,0.017857,0,0]
recall
0.630508 [0.934596,0.112676,0.055556,0.04878,0,0,0]
recall
0.616949 [0.929432,0.028169,0.044444,0,0,0,0]
recall
0.748023 [1,0.295775,0.644444,0.05,0,0,0]
recall
0.622599 [0.931153,0.056338,0.055556,0.025,0,0,0]
recall
0.731073 [0.876076,0.450704,0.588889,0.125,0.482143,0.296296,0.65]
recall
0.60678 [0.917384,0.014085,0.033333,0,0,0,0]
recall
0.615819 [0.924269,0.014085,0.066667,0.025,0,0,0]
recall
0.616949 [0.936317,0.014085,0.011111,0,0,0,0]
recall
0.653107 [0.97074,0.070423,0.1,0,0,0,0]
recall
0.60904 [0.917384,0.028169,0.044444,0,0,0,0]
recall
0.620339 [0.932874,0.056338,0.033333,0,0,0,0]
recall
0.619209 [0.932874,0.056338,0.011111,0.02439,0,0,0]
recall
0.761582 [1,0.352113,0.677778,0.15,0.017857,0,0]
recall
0.620339 [0.938038,0.042254,0,0.025,0,0,0]
recall
0.720904 [0.853701,0.661972,0.577778,0.075,0.410714,0.185185,0.6]
recall
0.615819 [0.938038,0,0,0,0,0,0]
recall
0.623729 [0.934596,0.070423,0.033333,0,0.017857,0,0]
recall
0.645198 [0.967298,0.028169,0.066667,0.025,0,0,0]
recall
0.649718 [0.969019,0.028169,0.1,0,0.017857,0,0]
recall
0.716384 [0.862069,0.43662,0.56044,0.073171,0.553571,0.222222,0.631579]
recall
0.60113 [0.910345,0.014085,0.032967,0,0,0,0]
recall
0.612429 [0.925862,0.056338,0.010989,0,0,0,0]
recall
0.750282 [1,0.422535,0.522222,0.075,0.035714,0.037037,0]
recall
0.623729 [0.943103,0.042254,0.021978,0,0,0,0]
recall
0.699435 [0.865517,0.464789,0.472527,0.2,0.357143,0.074074,0.55]
recall
0.623729 [0.936207,0.042254,0.043956,0.04878,0,0,0]
recall
0.621469 [0.927586,0.112676,0.044444,0,0,0,0]
recall
0.624859 [0.946552,0.014085,0.032967,0,0,0,0]
recall
0.696045 [0.865517,0.408451,0.406593,0.05,0.553571,0.074074,0.65]
recall
0.614253 [0.927586,0.014085,0.033333,0.025,0,0,0]
recall
0.621041 [0.939655,0.028169,0.011111,0,0.017857,0,0]
recall
0.631222 [0.948276,0.084507,0.022222,0,0,0,0]
recall
0.737557 [1,0.295775,0.533333,0.02439,0.035714,0,0]
recall
0.615385 [0.92931,0.070423,0,0,0,0,0]
recall
0.726244 [0.881034,0.478873,0.544444,0.121951,0.464286,0.222222,0.578947]
recall
0.736425 [0.881034,0.605634,0.544444,0.121951,0.428571,0.333333,0.526316]
recall
0.617647 [0.918966,0.112676,0.022222,0.02439,0.035714,0,0]
recall
0.622172 [0.937931,0.028169,0.033333,0.02439,0,0,0]
recall
0.614253 [0.925862,0.028169,0.044444,0,0,0,0]
recall
0.696833 [0.860345,0.507042,0.5,0.075,0.392857,0.111111,0.4]
recall
0.615385 [0.932759,0.014085,0.022222,0,0,0,0]
recall
0.625566 [0.944828,0.028169,0.011111,0.05,0,0,0]
recall
0.74095 [1,0.225352,0.633333,0.02439,0.017857,0,0]
recall
0.618778 [0.937931,0.028169,0.011111,0,0,0,0]
recall
0.702489 [0.87069,0.366197,0.533333,0.073171,0.428571,0.074074,0.684211]
recall
0.622172 [0.931034,0.056338,0.033333,0,0.053571,0,0]
recall
0.628959 [0.931034,0.140845,0.044444,0.04878,0,0,0]
recall
0.61991 [0.934483,0.042254,0.022222,0,0.017857,0,0]
recall
0.628959 [0.941379,0.056338,0.044444,0.02439,0.017857,0,0]
recall
0.728507 [0.881034,0.43662,0.555556,0.125,0.5,0.111111,0.8]
recall
0.61991 [0.937931,0.028169,0.022222,0,0,0,0]
recall
0.61991 [0.937931,0.014085,0.022222,0,0.017857,0,0]
recall
0.743213 [1,0.309859,0.533333,0.02439,0.071429,0.074074,0]
recall
0.61991 [0.934483,0.056338,0.022222,0,0,0,0]
recall
0.709276 [0.836207,0.549296,0.588889,0.121951,0.517857,0.074074,0.736842]
recall
0.622172 [0.931034,0.028169,0.066667,0.025,0.017857,0,0]
recall
0.617647 [0.918966,0.042254,0.076923,0.075,0,0,0]
recall
0.621041 [0.936207,0.028169,0.044444,0,0,0,0]
recall
0.628959 [0.941379,0.070423,0.055556,0,0,0,0]
recall
0.721719 [0.872414,0.507042,0.588889,0.15,0.410714,0.074074,0.6]
recall
0.626697 [0.948276,0.028169,0.011111,0.025,0,0,0]
recall
0.626697 [0.939655,0.042254,0.022222,0.05,0.035714,0,0]
recall
0.744344 [1,0.197183,0.666667,0.025,0.053571,0,0]
recall
0.605204 [0.915517,0.028169,0.022222,0,0,0,0]
recall
0.718326 [0.884483,0.549296,0.466667,0.1,0.410714,0.111111,0.55]
recall
0.618778 [0.92931,0.042254,0.033333,0.025,0.017857,0,0]
recall
0.63009 [0.937931,0.084507,0.066667,0.025,0,0,0]
recall
0.614253 [0.927586,0.028169,0.033333,0,0,0,0]
recall
0.611991 [0.92931,0.014085,0.011111,0,0,0,0]
recall
0.721719 [0.865517,0.591549,0.533333,0.05,0.482143,0.222222,0.55]
recall
0.615385 [0.925862,0.042254,0.033333,0,0.017857,0,0]
recall
0.607466 [0.917241,0.014085,0.033333,0.025,0,0,0]
recall
0.747738 [1,0.267606,0.6,0.075,0.089286,0,0]
recall
0.617647 [0.932759,0.042254,0.022222,0,0,0,0]
recall
0.734163 [0.874138,0.56338,0.566667,0.15,0.517857,0.074074,0.7]
recall
0.63009 [0.939655,0.042254,0.088889,0.025,0,0,0]
recall
0.622172 [0.917241,0.112676,0.055556,0.1,0.017857,0,0]
recall
0.625566 [0.936207,0.014085,0.077778,0.05,0,0,0]
recall
0.618778 [0.931034,0.014085,0.044444,0.05,0,0,0]
recall
0.708145 [0.865517,0.56338,0.466667,0.075,0.410714,0.148148,0.6]
recall
0.632353 [0.956897,0.028169,0.022222,0,0,0,0]
recall
0.605204 [0.913793,0.028169,0.022222,0,0.017857,0,0]
recall
0.744344 [1,0.309859,0.6,0,0.035714,0,0]
recall
0.623303 [0.941379,0.028169,0.033333,0,0,0,0]
recall
0.711538 [0.87069,0.521127,0.455556,0.1,0.410714,0.185185,0.7]
recall
0.631222 [0.941379,0.084507,0.044444,0.025,0.017857,0,0]
recall
0.624434 [0.932759,0.056338,0.077778,0,0,0,0]
recall
0.621041 [0.931034,0.042254,0.055556,0.025,0,0,0]
recall
0.615385 [0.927586,0.014085,0.033333,0.025,0.017857,0,0]
relative_absolute_error
1.099705
relative_absolute_error
1.139098
relative_absolute_error
0.534298
relative_absolute_error
0.503522
relative_absolute_error
0.535164
relative_absolute_error
0.541493
relative_absolute_error
0.523426
relative_absolute_error
1.148617
relative_absolute_error
0.807346
relative_absolute_error
0.518157
relative_absolute_error
1.129826
relative_absolute_error
1.090674
relative_absolute_error
1.099804
relative_absolute_error
0.498069
relative_absolute_error
1.096314
relative_absolute_error
0.517429
relative_absolute_error
1.11721
relative_absolute_error
1.099507
relative_absolute_error
1.093776
relative_absolute_error
0.816017
relative_absolute_error
1.10902
relative_absolute_error
1.108042
relative_absolute_error
1.122949
relative_absolute_error
0.496315
relative_absolute_error
1.096857
relative_absolute_error
0.523839
relative_absolute_error
1.123828
relative_absolute_error
1.069884
relative_absolute_error
0.780911
relative_absolute_error
0.823987
relative_absolute_error
0.536378
relative_absolute_error
1.14883
relative_absolute_error
1.109745
relative_absolute_error
0.50127
relative_absolute_error
1.071294
relative_absolute_error
0.557934
relative_absolute_error
1.118349
relative_absolute_error
1.074068
relative_absolute_error
1.107367
relative_absolute_error
0.561185
relative_absolute_error
1.111814
relative_absolute_error
1.121769
relative_absolute_error
1.12171
relative_absolute_error
0.509301
relative_absolute_error
1.089499
relative_absolute_error
0.512376
relative_absolute_error
0.508221
relative_absolute_error
1.110794
relative_absolute_error
1.085214
relative_absolute_error
1.094493
relative_absolute_error
0.570251
relative_absolute_error
1.134535
relative_absolute_error
1.118073
relative_absolute_error
0.507949
relative_absolute_error
1.094271
relative_absolute_error
0.560365
relative_absolute_error
1.125043
relative_absolute_error
1.077031
relative_absolute_error
1.123861
relative_absolute_error
1.111814
relative_absolute_error
0.516197
relative_absolute_error
1.109614
relative_absolute_error
1.105262
relative_absolute_error
0.508353
relative_absolute_error
1.117406
relative_absolute_error
0.544985
relative_absolute_error
1.124289
relative_absolute_error
1.129289
relative_absolute_error
1.106912
relative_absolute_error
1.089807
relative_absolute_error
0.525561
relative_absolute_error
1.119677
relative_absolute_error
1.113278
relative_absolute_error
0.502946
relative_absolute_error
1.124817
relative_absolute_error
0.534474
relative_absolute_error
1.117667
relative_absolute_error
1.063168
relative_absolute_error
1.10444
relative_absolute_error
1.125826
relative_absolute_error
0.52615
relative_absolute_error
1.115789
relative_absolute_error
1.136147
relative_absolute_error
0.505309
relative_absolute_error
1.120927
relative_absolute_error
0.517566
relative_absolute_error
1.110029
relative_absolute_error
1.08825
relative_absolute_error
1.126582
relative_absolute_error
1.068475
relative_absolute_error
0.538137
relative_absolute_error
1.09906
relative_absolute_error
1.102538
relative_absolute_error
0.499288
relative_absolute_error
1.093818
relative_absolute_error
0.538327
relative_absolute_error
1.107065
relative_absolute_error
1.100918
relative_absolute_error
1.116133
relative_absolute_error
1.103485
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.27895
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.279271
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.279271
root_mean_prior_squared_error
0.278964
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.279271
root_mean_prior_squared_error
0.279317
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.279284
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.279034
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.279067
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_squared_error
0.308316
root_mean_squared_error
0.312297
root_mean_squared_error
0.248917
root_mean_squared_error
0.203417
root_mean_squared_error
0.25077
root_mean_squared_error
0.250268
root_mean_squared_error
0.245558
root_mean_squared_error
0.321664
root_mean_squared_error
0.264594
root_mean_squared_error
0.246955
root_mean_squared_error
0.31529
root_mean_squared_error
0.310181
root_mean_squared_error
0.305048
root_mean_squared_error
0.201049
root_mean_squared_error
0.310113
root_mean_squared_error
0.245182
root_mean_squared_error
0.315335
root_mean_squared_error
0.308165
root_mean_squared_error
0.302541
root_mean_squared_error
0.267498
root_mean_squared_error
0.313946
root_mean_squared_error
0.305857
root_mean_squared_error
0.306473
root_mean_squared_error
0.201553
root_mean_squared_error
0.309556
root_mean_squared_error
0.247455
root_mean_squared_error
0.315429
root_mean_squared_error
0.309112
root_mean_squared_error
0.272142
root_mean_squared_error
0.270585
root_mean_squared_error
0.249555
root_mean_squared_error
0.31347
root_mean_squared_error
0.307812
root_mean_squared_error
0.204496
root_mean_squared_error
0.319865
root_mean_squared_error
0.259001
root_mean_squared_error
0.312941
root_mean_squared_error
0.314353
root_mean_squared_error
0.310112
root_mean_squared_error
0.259173
root_mean_squared_error
0.321386
root_mean_squared_error
0.304967
root_mean_squared_error
0.305127
root_mean_squared_error
0.204036
root_mean_squared_error
0.316927
root_mean_squared_error
0.241131
root_mean_squared_error
0.240126
root_mean_squared_error
0.319314
root_mean_squared_error
0.309914
root_mean_squared_error
0.313544
root_mean_squared_error
0.259697
root_mean_squared_error
0.309158
root_mean_squared_error
0.307081
root_mean_squared_error
0.205305
root_mean_squared_error
0.31034
root_mean_squared_error
0.255912
root_mean_squared_error
0.325997
root_mean_squared_error
0.310395
root_mean_squared_error
0.312794
root_mean_squared_error
0.312322
root_mean_squared_error
0.246319
root_mean_squared_error
0.304424
root_mean_squared_error
0.305438
root_mean_squared_error
0.207854
root_mean_squared_error
0.317402
root_mean_squared_error
0.25216
root_mean_squared_error
0.325916
root_mean_squared_error
0.320365
root_mean_squared_error
0.311665
root_mean_squared_error
0.310753
root_mean_squared_error
0.24756
root_mean_squared_error
0.306057
root_mean_squared_error
0.305807
root_mean_squared_error
0.202921
root_mean_squared_error
0.321175
root_mean_squared_error
0.250933
root_mean_squared_error
0.323209
root_mean_squared_error
0.311812
root_mean_squared_error
0.311272
root_mean_squared_error
0.313973
root_mean_squared_error
0.24874
root_mean_squared_error
0.308811
root_mean_squared_error
0.312383
root_mean_squared_error
0.205101
root_mean_squared_error
0.316196
root_mean_squared_error
0.246229
root_mean_squared_error
0.314608
root_mean_squared_error
0.318466
root_mean_squared_error
0.312008
root_mean_squared_error
0.305512
root_mean_squared_error
0.251165
root_mean_squared_error
0.305669
root_mean_squared_error
0.308177
root_mean_squared_error
0.204853
root_mean_squared_error
0.310151
root_mean_squared_error
0.251772
root_mean_squared_error
0.314871
root_mean_squared_error
0.319567
root_mean_squared_error
0.315824
root_mean_squared_error
0.312262
root_relative_squared_error
1.105217
root_relative_squared_error
1.119542
root_relative_squared_error
0.89229
root_relative_squared_error
0.728353
root_relative_squared_error
0.898933
root_relative_squared_error
0.897135
root_relative_squared_error
0.880248
root_relative_squared_error
1.153065
root_relative_squared_error
0.948489
root_relative_squared_error
0.885259
root_relative_squared_error
1.130272
root_relative_squared_error
1.111959
root_relative_squared_error
1.093556
root_relative_squared_error
0.720699
root_relative_squared_error
1.111661
root_relative_squared_error
0.878903
root_relative_squared_error
1.130381
root_relative_squared_error
1.104678
root_relative_squared_error
1.084518
root_relative_squared_error
0.958899
root_relative_squared_error
1.125453
root_relative_squared_error
1.096457
root_relative_squared_error
1.098663
root_relative_squared_error
0.722505
root_relative_squared_error
1.109665
root_relative_squared_error
0.887049
root_relative_squared_error
1.130717
root_relative_squared_error
1.10807
root_relative_squared_error
0.975544
root_relative_squared_error
0.969963
root_relative_squared_error
0.893595
root_relative_squared_error
1.122406
root_relative_squared_error
1.102199
root_relative_squared_error
0.733055
root_relative_squared_error
1.145304
root_relative_squared_error
0.927374
root_relative_squared_error
1.120564
root_relative_squared_error
1.125437
root_relative_squared_error
1.11038
root_relative_squared_error
0.92799
root_relative_squared_error
1.151591
root_relative_squared_error
1.092759
root_relative_squared_error
1.093332
root_relative_squared_error
0.731136
root_relative_squared_error
1.135667
root_relative_squared_error
0.86406
root_relative_squared_error
0.860462
root_relative_squared_error
1.14422
root_relative_squared_error
1.110538
root_relative_squared_error
1.123544
root_relative_squared_error
0.930544
root_relative_squared_error
1.107774
root_relative_squared_error
1.100331
root_relative_squared_error
0.735685
root_relative_squared_error
1.112063
root_relative_squared_error
0.917029
root_relative_squared_error
1.168168
root_relative_squared_error
1.112261
root_relative_squared_error
1.120856
root_relative_squared_error
1.119166
root_relative_squared_error
0.882611
root_relative_squared_error
1.09081
root_relative_squared_error
1.094444
root_relative_squared_error
0.744817
root_relative_squared_error
1.13737
root_relative_squared_error
0.903581
root_relative_squared_error
1.16782
root_relative_squared_error
1.14812
root_relative_squared_error
1.116812
root_relative_squared_error
1.113542
root_relative_squared_error
0.887058
root_relative_squared_error
1.096663
root_relative_squared_error
1.095769
root_relative_squared_error
0.727107
root_relative_squared_error
1.150834
root_relative_squared_error
0.899143
root_relative_squared_error
1.158123
root_relative_squared_error
1.117284
root_relative_squared_error
1.115349
root_relative_squared_error
1.125026
root_relative_squared_error
0.891284
root_relative_squared_error
1.106532
root_relative_squared_error
1.11933
root_relative_squared_error
0.734917
root_relative_squared_error
1.132994
root_relative_squared_error
0.882286
root_relative_squared_error
1.127305
root_relative_squared_error
1.141126
root_relative_squared_error
1.117987
root_relative_squared_error
1.094709
root_relative_squared_error
0.899974
root_relative_squared_error
1.095271
root_relative_squared_error
1.104259
root_relative_squared_error
0.73403
root_relative_squared_error
1.111333
root_relative_squared_error
0.90215
root_relative_squared_error
1.128244
root_relative_squared_error
1.14507
root_relative_squared_error
1.131661
root_relative_squared_error
1.118895
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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
880
usercpu_time_millis
570
usercpu_time_millis
1040
usercpu_time_millis
510
usercpu_time_millis
980
usercpu_time_millis
980
usercpu_time_millis
970
usercpu_time_millis
840
usercpu_time_millis
440
usercpu_time_millis
930
usercpu_time_millis
750
usercpu_time_millis
720
usercpu_time_millis
550
usercpu_time_millis
500
usercpu_time_millis
720
usercpu_time_millis
970
usercpu_time_millis
780
usercpu_time_millis
730
usercpu_time_millis
540
usercpu_time_millis
380
usercpu_time_millis
770
usercpu_time_millis
540
usercpu_time_millis
540
usercpu_time_millis
490
usercpu_time_millis
780
usercpu_time_millis
980
usercpu_time_millis
810
usercpu_time_millis
750
usercpu_time_millis
610
usercpu_time_millis
480
usercpu_time_millis
990
usercpu_time_millis
540
usercpu_time_millis
560
usercpu_time_millis
560
usercpu_time_millis
990
usercpu_time_millis
980
usercpu_time_millis
830
usercpu_time_millis
880
usercpu_time_millis
720
usercpu_time_millis
1040
usercpu_time_millis
1040
usercpu_time_millis
570
usercpu_time_millis
560
usercpu_time_millis
540
usercpu_time_millis
840
usercpu_time_millis
980
usercpu_time_millis
960
usercpu_time_millis
980
usercpu_time_millis
700
usercpu_time_millis
710
usercpu_time_millis
990
usercpu_time_millis
540
usercpu_time_millis
600
usercpu_time_millis
530
usercpu_time_millis
870
usercpu_time_millis
1010
usercpu_time_millis
1040
usercpu_time_millis
1030
usercpu_time_millis
720
usercpu_time_millis
720
usercpu_time_millis
1000
usercpu_time_millis
540
usercpu_time_millis
530
usercpu_time_millis
520
usercpu_time_millis
820
usercpu_time_millis
1010
usercpu_time_millis
940
usercpu_time_millis
880
usercpu_time_millis
720
usercpu_time_millis
730
usercpu_time_millis
980
usercpu_time_millis
590
usercpu_time_millis
560
usercpu_time_millis
540
usercpu_time_millis
830
usercpu_time_millis
1020
usercpu_time_millis
970
usercpu_time_millis
970
usercpu_time_millis
760
usercpu_time_millis
730
usercpu_time_millis
980
usercpu_time_millis
540
usercpu_time_millis
590
usercpu_time_millis
540
usercpu_time_millis
870
usercpu_time_millis
980
usercpu_time_millis
1000
usercpu_time_millis
870
usercpu_time_millis
700
usercpu_time_millis
700
usercpu_time_millis
990
usercpu_time_millis
570
usercpu_time_millis
520
usercpu_time_millis
570
usercpu_time_millis
870
usercpu_time_millis
980
usercpu_time_millis
980
usercpu_time_millis
890
usercpu_time_millis
720
usercpu_time_millis
720
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
50
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
50
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
50
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_training
860
usercpu_time_millis_training
550
usercpu_time_millis_training
1000
usercpu_time_millis_training
480
usercpu_time_millis_training
940
usercpu_time_millis_training
940
usercpu_time_millis_training
920
usercpu_time_millis_training
810
usercpu_time_millis_training
420
usercpu_time_millis_training
890
usercpu_time_millis_training
720
usercpu_time_millis_training
690
usercpu_time_millis_training
530
usercpu_time_millis_training
460
usercpu_time_millis_training
700
usercpu_time_millis_training
930
usercpu_time_millis_training
750
usercpu_time_millis_training
710
usercpu_time_millis_training
520
usercpu_time_millis_training
360
usercpu_time_millis_training
740
usercpu_time_millis_training
520
usercpu_time_millis_training
520
usercpu_time_millis_training
460
usercpu_time_millis_training
740
usercpu_time_millis_training
940
usercpu_time_millis_training
780
usercpu_time_millis_training
730
usercpu_time_millis_training
580
usercpu_time_millis_training
460
usercpu_time_millis_training
950
usercpu_time_millis_training
520
usercpu_time_millis_training
540
usercpu_time_millis_training
530
usercpu_time_millis_training
960
usercpu_time_millis_training
940
usercpu_time_millis_training
800
usercpu_time_millis_training
850
usercpu_time_millis_training
700
usercpu_time_millis_training
1000
usercpu_time_millis_training
1000
usercpu_time_millis_training
550
usercpu_time_millis_training
540
usercpu_time_millis_training
510
usercpu_time_millis_training
810
usercpu_time_millis_training
940
usercpu_time_millis_training
920
usercpu_time_millis_training
950
usercpu_time_millis_training
680
usercpu_time_millis_training
680
usercpu_time_millis_training
940
usercpu_time_millis_training
530
usercpu_time_millis_training
580
usercpu_time_millis_training
500
usercpu_time_millis_training
840
usercpu_time_millis_training
970
usercpu_time_millis_training
1000
usercpu_time_millis_training
980
usercpu_time_millis_training
690
usercpu_time_millis_training
690
usercpu_time_millis_training
950
usercpu_time_millis_training
520
usercpu_time_millis_training
520
usercpu_time_millis_training
480
usercpu_time_millis_training
800
usercpu_time_millis_training
970
usercpu_time_millis_training
910
usercpu_time_millis_training
850
usercpu_time_millis_training
690
usercpu_time_millis_training
700
usercpu_time_millis_training
940
usercpu_time_millis_training
570
usercpu_time_millis_training
550
usercpu_time_millis_training
510
usercpu_time_millis_training
800
usercpu_time_millis_training
980
usercpu_time_millis_training
940
usercpu_time_millis_training
940
usercpu_time_millis_training
730
usercpu_time_millis_training
710
usercpu_time_millis_training
940
usercpu_time_millis_training
520
usercpu_time_millis_training
570
usercpu_time_millis_training
510
usercpu_time_millis_training
840
usercpu_time_millis_training
940
usercpu_time_millis_training
970
usercpu_time_millis_training
840
usercpu_time_millis_training
680
usercpu_time_millis_training
670
usercpu_time_millis_training
950
usercpu_time_millis_training
550
usercpu_time_millis_training
500
usercpu_time_millis_training
540
usercpu_time_millis_training
840
usercpu_time_millis_training
930
usercpu_time_millis_training
950
usercpu_time_millis_training
860
usercpu_time_millis_training
690
usercpu_time_millis_training
690