231648
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1194
weka.RandomSubSpace_REPTree(4)
2052
weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
0.5
1194
S
1
1194
num-slots
1
1194
I
10
1194
W
weka.classifiers.trees.REPTree
1194
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
771389
description
https://api.openml.org/data/download/771389/weka_generated_run843544137634317129.xml
-1
771392
model_readable
https://api.openml.org/data/download/771392/WekaModel_weka.classifiers.meta.RandomSubSpace5640353563600434969.model
-1
771391
model_serialized
https://api.openml.org/data/download/771391/WekaSerialized_weka.classifiers.meta.RandomSubSpace9146915129482554987.model
-1
771390
predictions
https://api.openml.org/data/download/771390/weka_generated_predictions5678695659440243999.arff
area_under_roc_curve
0.977462 [0.911041,0.985709,0.97457,0.0,0.995603,0.989418]
average_cost
0
f_measure
0.841725 [0.545455,0.675981,0.91854,0,0.4038,0.731183]
kappa
0.566362
kb_relative_information_score
4892.519054
mean_absolute_error
0.082625
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.882457 [1,0.990253,0.85126,0,0.988372,0.948207]
predictive_accuracy
0.865033
prior_entropy
1.214875
recall
0.865033 [0.375,0.513131,0.997368,0,0.253731,0.595]
relative_absolute_error
0.615206
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.173737
root_relative_squared_error
0.672829
scimark_benchmark
1349.798141 [838.1742262669621, 1114.813421134787, 526.0861745217665, 1058.31247558279, 3211.6044084560053]
total_cost
0
usercpu_time_millis
80
usercpu_time_millis_testing
0
usercpu_time_millis_training
80
area_under_roc_curve
0.997394 [1,0.992455,0.997585,0.0,1,1]
area_under_roc_curve
0.982728 [1,0.995885,0.978261,0.0,1,0.99564]
area_under_roc_curve
0.985661 [1,0.99,0.982747,0.0,1,1]
area_under_roc_curve
0.986873 [0.988764,0.9925,0.984127,0.0,1,1]
area_under_roc_curve
0.995324 [1,0.99125,0.995169,0.0,1,1]
area_under_roc_curve
0.998247 [1,0.99375,0.99862,0.0,1,1]
area_under_roc_curve
0.961068 [1,0.986875,0.956177,0.0,1,0.912791]
area_under_roc_curve
0.990198 [1,0.9975,0.987578,0.0,1,1]
area_under_roc_curve
0.959242 [1,0.982167,0.951691,0.0,1,0.956395]
area_under_roc_curve
0.996669 [1,0.993141,0.996549,0.0,1,1]
area_under_roc_curve
0.968395 [1,1,0.959282,0.0,1,0.991279]
area_under_roc_curve
0.98801 [1,0.98875,0.985963,0.0,0.998279,1]
area_under_roc_curve
0.979534 [1,0.994375,0.97619,0.0,0.97619,1]
area_under_roc_curve
0.958353 [1,0.96875,0.953761,0.0,0.992063,0.950581]
area_under_roc_curve
0.944233 [1,0.91,0.940649,0.0,0.996032,1]
area_under_roc_curve
0.995185 [1,0.99,0.995169,0.0,1,1]
area_under_roc_curve
0.980408 [1,0.995885,0.976536,0.0,0.989673,0.991279]
area_under_roc_curve
0.988786 [1,0.993125,0.986542,0.0,0.998016,1]
area_under_roc_curve
0.988321 [1,0.98125,0.987299,0.0,1,1]
area_under_roc_curve
0.970001 [0.573034,0.989375,0.968599,0.0,1,1]
area_under_roc_curve
0.994557 [1,0.99625,0.993789,0.0,0.996032,1]
area_under_roc_curve
0.985578 [0.623596,0.99875,0.986631,0.0,1,1]
area_under_roc_curve
0.952778 [0.539326,0.9425,0.953761,0.0,0.996032,1]
area_under_roc_curve
0.988085 [1,0.99625,0.985507,0.0,1,0.991279]
area_under_roc_curve
0.990873 [1,1,0.988268,0.0,0.998016,1]
area_under_roc_curve
0.975979 [1,0.985,0.973085,0.0,0.974206,1]
area_under_roc_curve
0.981024 [1,0.9975,0.975936,0.0,1,0.988372]
area_under_roc_curve
0.981896 [1,0.99875,0.978606,0.0,0.992063,0.976744]
area_under_roc_curve
0.977291 [0.758427,0.9925,0.974599,0.0,1,1]
area_under_roc_curve
0.978971 [0.966292,0.97125,0.977226,0.0,1,1]
area_under_roc_curve
0.974272 [1,0.9875,0.969634,0.0,0.984127,1]
area_under_roc_curve
0.970095 [0.988764,0.9725,0.966578,0.0,0.981067,1]
area_under_roc_curve
0.989343 [1,0.979424,0.988958,0.0,0.998279,1]
area_under_roc_curve
0.97561 [1,0.994513,0.972395,0.0,0.965577,1]
area_under_roc_curve
0.965258 [0.988764,0.99375,0.957888,0.0,0.986231,0.976744]
area_under_roc_curve
0.967977 [0.410112,0.962277,0.97205,0.0,0.996558,1]
area_under_roc_curve
0.952805 [1,0.9425,0.946524,0.0,0.994836,1]
area_under_roc_curve
0.99442 [0.977528,0.989026,0.994479,0.0,1,1]
area_under_roc_curve
0.978007 [1,0.9875,0.973262,0.0,0.994836,1]
area_under_roc_curve
0.964504 [1,0.96625,0.958592,0.0,1,1]
area_under_roc_curve
0.976831 [0.331461,0.999375,0.979612,0.0,0.996558,1]
area_under_roc_curve
0.996053 [1,0.9975,0.995321,0.0,0.998279,1]
area_under_roc_curve
0.988163 [1,0.988125,0.986965,0.0,0.991394,1]
area_under_roc_curve
0.988911 [1,0.995,0.987299,0.0,0.987952,1]
area_under_roc_curve
0.973213 [0.235955,0.99,0.977607,0.0,0.996558,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.977841 [1,0.96875,0.975267,0.0,1,1]
area_under_roc_curve
0.965043 [1,0.988125,0.958222,0.0,0.998279,0.956395]
area_under_roc_curve
0.9766 [1,0.9875,0.973262,0.0,1,0.959302]
area_under_roc_curve
0.985825 [1,0.98625,0.983957,0.0,0.996558,0.994186]
area_under_roc_curve
0.972322 [1,0.983125,0.966912,0.0,0.989673,1]
area_under_roc_curve
0.996192 [1,0.99875,0.995321,0.0,0.998279,1]
area_under_roc_curve
0.994394 [1,0.995,0.993316,0.0,1,1]
area_under_roc_curve
0.972311 [0.5,0.99625,0.971257,0.0,1,1]
area_under_roc_curve
0.975169 [1,0.995,0.969251,0.0,0.996558,0.982558]
area_under_roc_curve
0.975136 [1,0.965,0.972594,0.0,0.996558,1]
area_under_roc_curve
0.970626 [1,0.995,0.962567,0.0,0.993115,1]
area_under_roc_curve
0.955238 [0.213483,0.97125,0.956551,0.0,1,1]
area_under_roc_curve
0.990492 [1,0.99625,0.987968,0.0,1,1]
area_under_roc_curve
0.967571 [1,1,0.961898,0.0,0.991394,0.93314]
area_under_roc_curve
0.98971 [1,0.99375,0.987299,0.0,1,1]
area_under_roc_curve
0.971793 [1,0.9825,0.965241,0.0,1,1]
area_under_roc_curve
0.974346 [1,0.98,0.973262,0.0,1,0.927326]
area_under_roc_curve
0.970203 [1,0.984375,0.96357,0.0,0.993115,1]
area_under_roc_curve
0.992868 [1,1,0.991979,0.0,0.986231,1]
area_under_roc_curve
0.956762 [1,0.98625,0.946524,0.0,0.994836,0.979651]
area_under_roc_curve
0.945726 [0.404494,0.98125,0.950535,0.0,0.977625,0.854651]
area_under_roc_curve
0.987856 [1,0.99125,0.986631,0.0,0.986231,1]
area_under_roc_curve
0.989432 [1,0.99125,0.987299,0.0,1,1]
area_under_roc_curve
0.93924 [1,0.97375,0.923797,0.0,0.996558,1]
area_under_roc_curve
0.990119 [1,0.985,0.989305,0.0,0.998279,1]
area_under_roc_curve
0.988685 [0.988764,0.985,0.987578,0.0,1,1]
area_under_roc_curve
0.961319 [1,0.976875,0.952206,0.0,1,1]
area_under_roc_curve
0.985859 [1,1,0.981283,0.0,1,1]
area_under_roc_curve
0.9849 [0.988764,0.9925,0.981283,0.0,1,1]
area_under_roc_curve
0.959598 [1,0.99,0.948529,0.0,0.994836,1]
area_under_roc_curve
0.990212 [1,0.9825,0.989973,0.0,0.996558,1]
area_under_roc_curve
0.980528 [1,0.98625,0.976604,0.0,0.996558,1]
area_under_roc_curve
0.979253 [1,0.97875,0.976536,0.0,0.994048,1]
area_under_roc_curve
0.961364 [1,0.975,0.95254,0.0,1,1]
area_under_roc_curve
0.97754 [0.0,0.982278,0.973389,0.0,0.998258,1]
area_under_roc_curve
0.973178 [0.0,0.986076,0.968116,0.0,0.993976,0.997059]
area_under_roc_curve
0.993153 [0.0,0.996203,0.991597,0.0,1,1]
area_under_roc_curve
0.97965 [0.0,0.998734,0.97409,0.0,0.994774,1]
area_under_roc_curve
0.993207 [0.0,0.994304,0.991947,0.0,1,1]
area_under_roc_curve
0.985315 [0.0,0.98481,0.983193,0.0,0.998258,1]
area_under_roc_curve
0.988899 [0.0,0.992405,0.986957,0.0,0.997992,1]
area_under_roc_curve
0.993168 [0.0,1,0.991597,0.0,0.994774,1]
area_under_roc_curve
0.973296 [0.0,0.979747,0.968841,0.0,0.995984,1]
area_under_roc_curve
0.990376 [0.0,0.981013,0.990196,0.0,1,1]
area_under_roc_curve
0.974758 [0.0,0.986076,0.969888,0.0,0.996516,0.991176]
area_under_roc_curve
0.956378 [0.0,0.970886,0.952899,0.0,1,0.914706]
area_under_roc_curve
0.974153 [0.0,0.973418,0.971989,0.0,0.998258,0.970588]
area_under_roc_curve
0.983989 [0.0,0.986076,0.981092,0.0,1,1]
area_under_roc_curve
0.970024 [0.0,0.954861,0.967754,0.0,0.994774,1]
area_under_roc_curve
0.983829 [0.0,1,0.980392,0.0,1,0.973529]
area_under_roc_curve
0.994645 [0.0,0.987342,0.994928,0.0,1,1]
area_under_roc_curve
0.992442 [0.0,0.989873,0.991597,0.0,1,1]
area_under_roc_curve
0.976674 [0.0,0.981013,0.973188,0.0,0.993976,1]
area_under_roc_curve
0.996624 [0.0,0.996203,0.996499,0.0,0.996516,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.882268 [0,0.714286,0.938776,0,0.6,1]
f_measure
0.839914 [1,0.8,0.92517,0,0,0.888889]
f_measure
0.815477 [1,0.666667,0.913907,0,0,0.666667]
f_measure
0.847633 [0,0.666667,0.926174,0,0.285714,1]
f_measure
0.75164 [0,0.461538,0.890323,0,0,0.4]
f_measure
0.924003 [0,0.823529,0.958333,0,0.8,1]
f_measure
0.844675 [1,0.461538,0.918919,0,0.666667,0.75]
f_measure
0.815436 [0,0.461538,0.913907,0,0.285714,1]
f_measure
0.785407 [0,0.363636,0.901961,0,0.25,0.857143]
f_measure
0.87371 [1,0.615385,0.932432,0,0.727273,0.666667]
f_measure
0.891254 [0,0.888889,0.937063,0,0.666667,0.666667]
f_measure
0.808682 [1,0.571429,0.912752,0,0,1]
f_measure
0.790497 [1,0.75,0.907895,0,0,0]
f_measure
0.828614 [1,0.666667,0.92,0,0,0.857143]
f_measure
0.77512 [0,0.461538,0.896104,0,0.285714,0.4]
f_measure
0.89688 [1,0.75,0.945205,0,0.5,1]
f_measure
0.824011 [0,0.8,0.918919,0,0,0.888889]
f_measure
0.88266 [0,0.823529,0.938776,0,0.5,0.857143]
f_measure
0.821248 [0,0.666667,0.912752,0,0.25,0.857143]
f_measure
0.793896 [0,0.461538,0.901961,0,0.5,0.4]
f_measure
0.831219 [1,0.461538,0.92,0,0.285714,1]
f_measure
0.841503 [0,0.947368,0.92517,0,0.25,0.4]
f_measure
0.90878 [0,0.666667,0.951724,0,0.909091,1]
f_measure
0.812832 [0,0.666667,0.913907,0,0,0.857143]
f_measure
0.858075 [1,0.888889,0.932432,0,0.5,0]
f_measure
0.847633 [0,0.666667,0.926174,0,0.285714,1]
f_measure
0.833183 [0,0.666667,0.918919,0,0.833333,0]
f_measure
0.849507 [1,0.823529,0.926174,0,0.285714,0.4]
f_measure
0.841603 [0,0.666667,0.917808,0,0.444444,0.888889]
f_measure
0.798434 [0,0.75,0.907895,0,0.285714,0]
f_measure
0.767261 [1,0.181818,0.901961,0,0,1]
f_measure
0.745679 [0,0.666667,0.888889,0,0,0]
f_measure
0.923232 [0,0.875,0.958333,0,0.727273,1]
f_measure
0.821206 [0,0.714286,0.92,0,0,1]
f_measure
0.849718 [0,0.842105,0.931507,0,0.444444,0.4]
f_measure
0.850618 [0,0.615385,0.926174,0,0.444444,1]
f_measure
0.650352 [0,0,0.860759,0,0,0]
f_measure
0.78761 [0,0.615385,0.901961,0,0.444444,0]
f_measure
0.764876 [1,0.181818,0.894737,0,0.25,0.857143]
f_measure
0.828333 [1,0.461538,0.92,0,0.909091,0]
f_measure
0.776227 [0,0.461538,0.900662,0,0,1]
f_measure
0.806307 [1,0.571429,0.906667,0,0.6,0]
f_measure
0.866151 [0,0.75,0.931507,0,0.444444,1]
f_measure
0.887346 [1,0.888889,0.944444,0,0.25,1]
f_measure
0.856694 [0,0.75,0.92517,0,0.727273,0.4]
f_measure
0.871313 [0,0.888889,0.937931,0,0.25,1]
f_measure
0.770838 [1,0.333333,0.894737,0,0.6,0]
f_measure
0.844319 [0,0.777778,0.917808,0,0.6,0.4]
f_measure
0.80497 [1,0.461538,0.906667,0,0.25,0.857143]
f_measure
0.754541 [0,0.571429,0.888889,0,0.25,0]
f_measure
0.791875 [1,0.461538,0.906667,0,0,1]
f_measure
0.854747 [1,0.947368,0.931507,0,0.444444,0]
f_measure
0.911498 [0,0.823529,0.951049,0,0.923077,0.666667]
f_measure
0.835739 [0,0.75,0.917808,0,0.25,0.888889]
f_measure
0.826834 [1,0.75,0.918919,0,0,0.857143]
f_measure
0.883103 [0,0.75,0.937931,0,0.6,1]
f_measure
0.802938 [0,0.75,0.906667,0,0.444444,0]
f_measure
0.875962 [0,0.705882,0.930556,0,0.833333,0.666667]
f_measure
0.815917 [1,0.461538,0.912752,0,0.25,1]
f_measure
0.769542 [0,0.666667,0.894737,0,0.25,0]
f_measure
0.792974 [0,0.571429,0.906667,0,0,1]
f_measure
0.80479 [1,0.666667,0.906667,0,0.444444,0]
f_measure
0.842548 [0,0.571429,0.918919,0,0.6,0.857143]
f_measure
0.851633 [1,0.75,0.924138,0,0.25,0.888889]
f_measure
0.834131 [1,0.823529,0.918919,0,0.25,0.4]
f_measure
0.889299 [1,0.75,0.937931,0,0.727273,0.666667]
f_measure
0.789142 [0,0.666667,0.900662,0,0.444444,0]
f_measure
0.822463 [1,0.823529,0.911565,0,0.4,0]
f_measure
0.701235 [0,0,0.875817,0,0,0.888889]
f_measure
0.817941 [0,0.571429,0.912752,0,0.833333,0]
f_measure
0.780989 [1,0.461538,0.900662,0,0,0.857143]
f_measure
0.817329 [0,0.75,0.913907,0,0.5,0]
f_measure
0.876073 [0,0.823529,0.929577,0,0.6,0.8]
f_measure
0.784204 [0,0.666667,0.900662,0,0,0.666667]
f_measure
0.795499 [0,0.777778,0.912752,0,0.25,0]
f_measure
0.839096 [0,0.823529,0.916667,0,0.25,0.8]
f_measure
0.738849 [0,0.333333,0.883117,0,0.444444,0]
f_measure
0.887494 [1,0.947368,0.944444,0,0.25,0.857143]
f_measure
0.848162 [1,0.571429,0.926174,0,0.285714,1]
f_measure
0.73797 [0,0.461538,0.883117,0,0.25,0]
f_measure
0.850977 [0,0.571429,0.92517,0,0.444444,1]
f_measure
0.897562 [0,0.823529,0.945205,0,0.5,0.857143]
f_measure
0.789536 [0,0.461538,0.906667,0,0,1]
f_measure
0.819293 [0,0.75,0.912752,0,0.25,0.4]
f_measure
0.91131 [0,0.823529,0.951049,0,0.6,1]
f_measure
0.849188 [0,0.823529,0.931507,0,0,1]
f_measure
0.852111 [0,0.75,0.932432,0,0,1]
f_measure
0.872988 [0,0.947368,0.944444,0,0,1]
f_measure
0.914608 [0,0.777778,0.951049,0,0.666667,1]
f_measure
0.708794 [0,0.181818,0.877419,0,0,0.4]
f_measure
0.772416 [0,0.75,0.900662,0,0,0]
f_measure
0.818178 [0,0.461538,0.913907,0,0.285714,0.857143]
f_measure
0.887252 [0,0.666667,0.937931,0,0.727273,0.857143]
f_measure
0.880791 [0,0.75,0.937931,0,0.444444,1]
f_measure
0.740812 [0,0.5,0.890323,0,0,0]
f_measure
0.849327 [0,0.75,0.92517,0,0.25,0.857143]
f_measure
0.952835 [0,0.823529,0.971429,0,0.923077,1]
f_measure
0.912675 [0,0.666667,0.951049,0,0.923077,0.857143]
f_measure
0.851539 [0,0.75,0.926174,0,0.285714,0.666667]
f_measure
0.839668 [0,0.461538,0.918919,0,0.6,0.857143]
kappa
0.692716
kappa
0.625426
kappa
0.509022
kappa
0.605263
kappa
0.282364
kappa
0.808171
kappa
0.582043
kappa
0.51046
kappa
0.404499
kappa
0.650621
kappa
0.718359
kappa
0.538462
kappa
0.455017
kappa
0.558824
kappa
0.343964
kappa
0.733136
kappa
0.580583
kappa
0.691311
kappa
0.536266
kappa
0.402126
kappa
0.560618
kappa
0.623144
kappa
0.771739
kappa
0.508403
kappa
0.647887
kappa
0.605263
kappa
0.580583
kappa
0.603842
kappa
0.60177
kappa
0.453836
kappa
0.407115
kappa
0.325991
kappa
0.808375
kappa
0.559184
kappa
0.631696
kappa
0.606205
kappa
0
kappa
0.401065
kappa
0.389313
kappa
0.559184
kappa
0.439834
kappa
0.488221
kappa
0.667406
kappa
0.745403
kappa
0.624431
kappa
0.706628
kappa
0.386189
kappa
0.598662
kappa
0.490703
kappa
0.326881
kappa
0.49132
kappa
0.665552
kappa
0.78125
kappa
0.601329
kappa
0.582528
kappa
0.707264
kappa
0.485714
kappa
0.680738
kappa
0.539007
kappa
0.382239
kappa
0.489465
kappa
0.487597
kappa
0.582528
kappa
0.643372
kappa
0.581071
kappa
0.707264
kappa
0.435619
kappa
0.556146
kappa
0.256522
kappa
0.535161
kappa
0.44053
kappa
0.506329
kappa
0.695225
kappa
0.437031
kappa
0.497006
kappa
0.618509
kappa
0.269612
kappa
0.744862
kappa
0.606675
kappa
0.268623
kappa
0.605083
kappa
0.716786
kappa
0.458025
kappa
0.505978
kappa
0.77045
kappa
0.64836
kappa
0.628237
kappa
0.731016
kappa
0.769345
kappa
0.150678
kappa
0.397835
kappa
0.477652
kappa
0.691329
kappa
0.691329
kappa
0.228061
kappa
0.603644
kappa
0.876987
kappa
0.770703
kappa
0.579287
kappa
0.558313
kb_relative_information_score
54.190047
kb_relative_information_score
51.708606
kb_relative_information_score
47.594981
kb_relative_information_score
51.042796
kb_relative_information_score
43.899183
kb_relative_information_score
54.621552
kb_relative_information_score
50.816109
kb_relative_information_score
49.047214
kb_relative_information_score
46.333981
kb_relative_information_score
53.976622
kb_relative_information_score
54.387603
kb_relative_information_score
56.292757
kb_relative_information_score
47.721883
kb_relative_information_score
48.251524
kb_relative_information_score
39.634807
kb_relative_information_score
56.836867
kb_relative_information_score
51.049558
kb_relative_information_score
49.199136
kb_relative_information_score
50.227864
kb_relative_information_score
42.99888
kb_relative_information_score
50.657796
kb_relative_information_score
48.675707
kb_relative_information_score
43.068684
kb_relative_information_score
49.890953
kb_relative_information_score
53.29173
kb_relative_information_score
46.63193
kb_relative_information_score
50.005399
kb_relative_information_score
50.161122
kb_relative_information_score
50.898722
kb_relative_information_score
41.752367
kb_relative_information_score
46.745706
kb_relative_information_score
42.738443
kb_relative_information_score
52.272156
kb_relative_information_score
48.538955
kb_relative_information_score
51.831474
kb_relative_information_score
46.859722
kb_relative_information_score
39.44594
kb_relative_information_score
49.733382
kb_relative_information_score
50.763695
kb_relative_information_score
44.085798
kb_relative_information_score
45.847276
kb_relative_information_score
52.165319
kb_relative_information_score
53.625256
kb_relative_information_score
54.580326
kb_relative_information_score
47.737758
kb_relative_information_score
59.786403
kb_relative_information_score
46.948932
kb_relative_information_score
50.681594
kb_relative_information_score
51.239064
kb_relative_information_score
46.79416
kb_relative_information_score
49.061236
kb_relative_information_score
55.982191
kb_relative_information_score
54.663427
kb_relative_information_score
49.312868
kb_relative_information_score
50.70442
kb_relative_information_score
55.166175
kb_relative_information_score
45.764383
kb_relative_information_score
48.962206
kb_relative_information_score
54.309448
kb_relative_information_score
41.530624
kb_relative_information_score
49.961397
kb_relative_information_score
49.169359
kb_relative_information_score
52.531158
kb_relative_information_score
49.692118
kb_relative_information_score
54.872256
kb_relative_information_score
47.402832
kb_relative_information_score
39.412042
kb_relative_information_score
51.834986
kb_relative_information_score
51.006105
kb_relative_information_score
42.776111
kb_relative_information_score
49.811738
kb_relative_information_score
48.051367
kb_relative_information_score
52.778871
kb_relative_information_score
47.075008
kb_relative_information_score
50.544699
kb_relative_information_score
47.847118
kb_relative_information_score
45.942949
kb_relative_information_score
52.431273
kb_relative_information_score
50.909348
kb_relative_information_score
43.575493
kb_relative_information_score
43.19111
kb_relative_information_score
45.337785
kb_relative_information_score
48.717336
kb_relative_information_score
50.081692
kb_relative_information_score
51.985161
kb_relative_information_score
50.84082
kb_relative_information_score
46.358631
kb_relative_information_score
53.771936
kb_relative_information_score
48.201166
kb_relative_information_score
42.7937
kb_relative_information_score
43.589507
kb_relative_information_score
38.441486
kb_relative_information_score
47.98205
kb_relative_information_score
48.438027
kb_relative_information_score
38.479026
kb_relative_information_score
46.568096
kb_relative_information_score
54.958461
kb_relative_information_score
51.305772
kb_relative_information_score
43.887557
kb_relative_information_score
47.218786
mean_absolute_error
0.074462
mean_absolute_error
0.07937
mean_absolute_error
0.087909
mean_absolute_error
0.076361
mean_absolute_error
0.093454
mean_absolute_error
0.07309
mean_absolute_error
0.077601
mean_absolute_error
0.085554
mean_absolute_error
0.086824
mean_absolute_error
0.077705
mean_absolute_error
0.070299
mean_absolute_error
0.074476
mean_absolute_error
0.085428
mean_absolute_error
0.080589
mean_absolute_error
0.095785
mean_absolute_error
0.068101
mean_absolute_error
0.07901
mean_absolute_error
0.081875
mean_absolute_error
0.083546
mean_absolute_error
0.089221
mean_absolute_error
0.081983
mean_absolute_error
0.083872
mean_absolute_error
0.082956
mean_absolute_error
0.081807
mean_absolute_error
0.075989
mean_absolute_error
0.084299
mean_absolute_error
0.085754
mean_absolute_error
0.077989
mean_absolute_error
0.079741
mean_absolute_error
0.0917
mean_absolute_error
0.086291
mean_absolute_error
0.094204
mean_absolute_error
0.077803
mean_absolute_error
0.083442
mean_absolute_error
0.07658
mean_absolute_error
0.078724
mean_absolute_error
0.099076
mean_absolute_error
0.077901
mean_absolute_error
0.084491
mean_absolute_error
0.090359
mean_absolute_error
0.090052
mean_absolute_error
0.083519
mean_absolute_error
0.078892
mean_absolute_error
0.077342
mean_absolute_error
0.084107
mean_absolute_error
0.06992
mean_absolute_error
0.090722
mean_absolute_error
0.082562
mean_absolute_error
0.081668
mean_absolute_error
0.090141
mean_absolute_error
0.087888
mean_absolute_error
0.078993
mean_absolute_error
0.077061
mean_absolute_error
0.081619
mean_absolute_error
0.082135
mean_absolute_error
0.074268
mean_absolute_error
0.093169
mean_absolute_error
0.082068
mean_absolute_error
0.079436
mean_absolute_error
0.092002
mean_absolute_error
0.086149
mean_absolute_error
0.087234
mean_absolute_error
0.077148
mean_absolute_error
0.086285
mean_absolute_error
0.078024
mean_absolute_error
0.083778
mean_absolute_error
0.092739
mean_absolute_error
0.082901
mean_absolute_error
0.080838
mean_absolute_error
0.096091
mean_absolute_error
0.087203
mean_absolute_error
0.083756
mean_absolute_error
0.080315
mean_absolute_error
0.086832
mean_absolute_error
0.083115
mean_absolute_error
0.0864
mean_absolute_error
0.093159
mean_absolute_error
0.081977
mean_absolute_error
0.079889
mean_absolute_error
0.094866
mean_absolute_error
0.090935
mean_absolute_error
0.078476
mean_absolute_error
0.08253
mean_absolute_error
0.075236
mean_absolute_error
0.074451
mean_absolute_error
0.074055
mean_absolute_error
0.080302
mean_absolute_error
0.070555
mean_absolute_error
0.073972
mean_absolute_error
0.091259
mean_absolute_error
0.085787
mean_absolute_error
0.0895
mean_absolute_error
0.074587
mean_absolute_error
0.077833
mean_absolute_error
0.092268
mean_absolute_error
0.083658
mean_absolute_error
0.063566
mean_absolute_error
0.076771
mean_absolute_error
0.080601
mean_absolute_error
0.083737
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.131132
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,9,69,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
precision
0.900427 [0,1,0.884615,0,1,1]
precision
0.815043 [1,1,0.871795,0,0,0.8]
precision
0.811789 [1,1,0.841463,0,0,1]
precision
0.883472 [0,1,0.8625,0,1,1]
precision
0.770672 [0,1,0.802326,0,0,1]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.882138 [1,1,0.860759,0,1,0.75]
precision
0.867344 [0,1,0.841463,0,1,1]
precision
0.851984 [0,1,0.821429,0,1,1]
precision
0.902954 [1,1,0.873418,0,1,1]
precision
0.898589 [0,1,0.905405,0,1,0.6]
precision
0.80096 [1,1,0.839506,0,0,1]
precision
0.759572 [1,1,0.831325,0,0,0]
precision
0.819753 [1,1,0.851852,0,0,1]
precision
0.844575 [0,1,0.811765,0,1,1]
precision
0.920346 [1,1,0.896104,0,1,1]
precision
0.795471 [0,1,0.860759,0,0,0.8]
precision
0.900427 [0,1,0.884615,0,1,1]
precision
0.867627 [0,1,0.839506,0,1,1]
precision
0.851984 [0,1,0.821429,0,1,1]
precision
0.88642 [1,1,0.851852,0,1,1]
precision
0.883685 [0,1,0.860759,0,1,1]
precision
0.918275 [0,1,0.907895,0,1,1]
precision
0.800678 [0,1,0.841463,0,0,1]
precision
0.858509 [1,1,0.873418,0,1,0]
precision
0.883472 [0,1,0.8625,0,1,1]
precision
0.831111 [0,1,0.85,0,1,0]
precision
0.894583 [1,1,0.8625,0,1,1]
precision
0.873447 [0,1,0.858974,0,1,0.8]
precision
0.815127 [0,1,0.831325,0,1,0]
precision
0.796429 [1,1,0.821429,0,0,1]
precision
0.715556 [0,1,0.8,0,0,0]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.797531 [0,1,0.851852,0,0,1]
precision
0.879677 [0,0.888889,0.871795,0,1,1]
precision
0.883472 [0,1,0.8625,0,1,1]
precision
0.570864 [0,0,0.755556,0,0,0]
precision
0.80754 [0,1,0.821429,0,1,0]
precision
0.856085 [1,1,0.809524,0,1,1]
precision
0.841975 [1,1,0.851852,0,1,0]
precision
0.774565 [0,1,0.819277,0,0,1]
precision
0.826558 [1,1,0.829268,0,1,0]
precision
0.892023 [0,1,0.871795,0,1,1]
precision
0.920468 [1,1,0.894737,0,1,1]
precision
0.883685 [0,1,0.860759,0,1,1]
precision
0.900577 [0,1,0.883117,0,1,1]
precision
0.81164 [1,1,0.809524,0,1,0]
precision
0.868447 [0,0.875,0.858974,0,1,1]
precision
0.871003 [1,1,0.829268,0,1,1]
precision
0.793333 [0,1,0.8,0,1,0]
precision
0.793225 [1,1,0.829268,0,0,1]
precision
0.858689 [1,1,0.871795,0,1,0]
precision
0.91837 [0,1,0.906667,0,1,1]
precision
0.873447 [0,1,0.858974,0,1,0.8]
precision
0.808889 [1,1,0.85,0,0,1]
precision
0.900577 [0,1,0.883117,0,1,1]
precision
0.815447 [0,1,0.829268,0,1,0]
precision
0.883542 [0,0.857143,0.881579,0,1,1]
precision
0.878738 [1,1,0.839506,0,1,1]
precision
0.800529 [0,1,0.809524,0,1,0]
precision
0.782114 [0,1,0.829268,0,0,1]
precision
0.826558 [1,1,0.829268,0,1,0]
precision
0.875556 [0,1,0.85,0,1,1]
precision
0.892987 [1,1,0.87013,0,1,0.8]
precision
0.886667 [1,1,0.85,0,1,1]
precision
0.911688 [1,1,0.883117,0,1,1]
precision
0.807898 [0,1,0.819277,0,1,0]
precision
0.814862 [1,1,0.848101,0,0.666667,0]
precision
0.631111 [0,0,0.788235,0,0,0.8]
precision
0.823182 [0,1,0.839506,0,1,0]
precision
0.785676 [1,1,0.819277,0,0,1]
precision
0.8229 [0,1,0.841463,0,1,0]
precision
0.892392 [0,1,0.891892,0,1,0.666667]
precision
0.774565 [0,1,0.819277,0,0,1]
precision
0.809294 [0,0.875,0.839506,0,1,0]
precision
0.874659 [0,1,0.868421,0,1,0.666667]
precision
0.786305 [0,1,0.790698,0,1,0]
precision
0.920468 [1,1,0.894737,0,1,1]
precision
0.894583 [1,1,0.8625,0,1,1]
precision
0.786305 [0,1,0.790698,0,1,0]
precision
0.893614 [0,1,0.860759,0,1,1]
precision
0.919451 [0,1,0.896104,0,1,1]
precision
0.790902 [0,1,0.829268,0,0,1]
precision
0.877376 [0,1,0.839506,0,1,1]
precision
0.928689 [0,1,0.906667,0,1,1]
precision
0.823394 [0,1,0.871795,0,0,1]
precision
0.834447 [0,1,0.873418,0,0,1]
precision
0.840923 [0,1,0.894737,0,0,1]
precision
0.923094 [0,0.875,0.918919,0,1,1]
precision
0.754488 [0,1,0.781609,0,0,1]
precision
0.738324 [0,1,0.819277,0,0,0]
precision
0.87709 [0,1,0.841463,0,1,1]
precision
0.910696 [0,1,0.883117,0,1,1]
precision
0.910696 [0,1,0.883117,0,1,1]
precision
0.723151 [0,1,0.802326,0,0,0]
precision
0.893614 [0,1,0.860759,0,1,1]
precision
0.957611 [0,1,0.957746,0,0.857143,1]
precision
0.928689 [0,1,0.906667,0,1,1]
precision
0.893399 [0,1,0.8625,0,1,1]
precision
0.885393 [0,1,0.85,0,1,1]
predictive_accuracy
0.9
predictive_accuracy
0.877778
predictive_accuracy
0.855556
predictive_accuracy
0.877778
predictive_accuracy
0.811111
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.855556
predictive_accuracy
0.833333
predictive_accuracy
0.888889
predictive_accuracy
0.9
predictive_accuracy
0.855556
predictive_accuracy
0.844444
predictive_accuracy
0.866667
predictive_accuracy
0.822222
predictive_accuracy
0.911111
predictive_accuracy
0.866667
predictive_accuracy
0.9
predictive_accuracy
0.855556
predictive_accuracy
0.833333
predictive_accuracy
0.866667
predictive_accuracy
0.877778
predictive_accuracy
0.922222
predictive_accuracy
0.855556
predictive_accuracy
0.888889
predictive_accuracy
0.877778
predictive_accuracy
0.866667
predictive_accuracy
0.877778
predictive_accuracy
0.866667
predictive_accuracy
0.844444
predictive_accuracy
0.833333
predictive_accuracy
0.811111
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.877778
predictive_accuracy
0.877778
predictive_accuracy
0.755556
predictive_accuracy
0.833333
predictive_accuracy
0.822222
predictive_accuracy
0.866667
predictive_accuracy
0.833333
predictive_accuracy
0.844444
predictive_accuracy
0.888889
predictive_accuracy
0.911111
predictive_accuracy
0.877778
predictive_accuracy
0.9
predictive_accuracy
0.822222
predictive_accuracy
0.866667
predictive_accuracy
0.844444
predictive_accuracy
0.811111
predictive_accuracy
0.844444
predictive_accuracy
0.888889
predictive_accuracy
0.922222
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.9
predictive_accuracy
0.844444
predictive_accuracy
0.888889
predictive_accuracy
0.855556
predictive_accuracy
0.822222
predictive_accuracy
0.844444
predictive_accuracy
0.844444
predictive_accuracy
0.866667
predictive_accuracy
0.877778
predictive_accuracy
0.866667
predictive_accuracy
0.9
predictive_accuracy
0.833333
predictive_accuracy
0.855556
predictive_accuracy
0.788889
predictive_accuracy
0.855556
predictive_accuracy
0.833333
predictive_accuracy
0.855556
predictive_accuracy
0.888889
predictive_accuracy
0.833333
predictive_accuracy
0.844444
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.911111
predictive_accuracy
0.877778
predictive_accuracy
0.8
predictive_accuracy
0.876404
predictive_accuracy
0.910112
predictive_accuracy
0.842697
predictive_accuracy
0.853933
predictive_accuracy
0.921348
predictive_accuracy
0.88764
predictive_accuracy
0.88764
predictive_accuracy
0.910112
predictive_accuracy
0.921348
predictive_accuracy
0.786517
predictive_accuracy
0.831461
predictive_accuracy
0.853933
predictive_accuracy
0.898876
predictive_accuracy
0.898876
predictive_accuracy
0.808989
predictive_accuracy
0.876404
predictive_accuracy
0.955056
predictive_accuracy
0.921348
predictive_accuracy
0.876404
predictive_accuracy
0.865169
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
recall
0.9 [0,0.555556,1,0,0.428571,1]
recall
0.877778 [1,0.666667,0.985507,0,0,1]
recall
0.855556 [1,0.5,1,0,0,0.5]
recall
0.877778 [0,0.5,1,0,0.166667,1]
recall
0.811111 [0,0.3,1,0,0,0.25]
recall
0.933333 [0,0.7,1,0,0.666667,1]
recall
0.866667 [1,0.3,0.985507,0,0.5,0.75]
recall
0.855556 [0,0.3,1,0,0.166667,1]
recall
0.833333 [0,0.222222,1,0,0.142857,0.75]
recall
0.888889 [1,0.444444,1,0,0.571429,0.5]
recall
0.9 [0,0.8,0.971014,0,0.5,0.75]
recall
0.855556 [1,0.4,1,0,0,1]
recall
0.844444 [1,0.6,1,0,0,0]
recall
0.866667 [1,0.5,1,0,0,0.75]
recall
0.822222 [0,0.3,1,0,0.166667,0.25]
recall
0.911111 [1,0.6,1,0,0.333333,1]
recall
0.866667 [0,0.666667,0.985507,0,0,1]
recall
0.9 [0,0.7,1,0,0.333333,0.75]
recall
0.855556 [0,0.5,1,0,0.142857,0.75]
recall
0.833333 [0,0.3,1,0,0.333333,0.25]
recall
0.866667 [1,0.3,1,0,0.166667,1]
recall
0.877778 [0,0.9,1,0,0.142857,0.25]
recall
0.922222 [0,0.5,1,0,0.833333,1]
recall
0.855556 [0,0.5,1,0,0,0.75]
recall
0.888889 [1,0.8,1,0,0.333333,0]
recall
0.877778 [0,0.5,1,0,0.166667,1]
recall
0.866667 [0,0.5,1,0,0.714286,0]
recall
0.877778 [1,0.7,1,0,0.166667,0.25]
recall
0.866667 [0,0.5,0.985294,0,0.285714,1]
recall
0.844444 [0,0.6,1,0,0.166667,0]
recall
0.833333 [1,0.1,1,0,0,1]
recall
0.811111 [0,0.5,1,0,0,0]
recall
0.933333 [0,0.777778,1,0,0.571429,1]
recall
0.866667 [0,0.555556,1,0,0,1]
recall
0.877778 [0,0.8,1,0,0.285714,0.25]
recall
0.877778 [0,0.444444,1,0,0.285714,1]
recall
0.755556 [0,0,1,0,0,0]
recall
0.833333 [0,0.444444,1,0,0.285714,0]
recall
0.822222 [1,0.1,1,0,0.142857,0.75]
recall
0.866667 [1,0.3,1,0,0.833333,0]
recall
0.833333 [0,0.3,1,0,0,1]
recall
0.844444 [1,0.4,1,0,0.428571,0]
recall
0.888889 [0,0.6,1,0,0.285714,1]
recall
0.911111 [1,0.8,1,0,0.142857,1]
recall
0.877778 [0,0.6,1,0,0.571429,0.25]
recall
0.9 [0,0.8,1,0,0.142857,1]
recall
0.822222 [1,0.2,1,0,0.428571,0]
recall
0.866667 [0,0.7,0.985294,0,0.428571,0.25]
recall
0.844444 [1,0.3,1,0,0.142857,0.75]
recall
0.811111 [0,0.4,1,0,0.142857,0]
recall
0.844444 [1,0.3,1,0,0,1]
recall
0.888889 [1,0.9,1,0,0.285714,0]
recall
0.922222 [0,0.7,1,0,0.857143,0.5]
recall
0.866667 [0,0.6,0.985294,0,0.142857,1]
recall
0.866667 [1,0.6,1,0,0,0.75]
recall
0.9 [0,0.6,1,0,0.428571,1]
recall
0.844444 [0,0.6,1,0,0.285714,0]
recall
0.888889 [0,0.6,0.985294,0,0.714286,0.5]
recall
0.855556 [1,0.3,1,0,0.142857,1]
recall
0.822222 [0,0.5,1,0,0.142857,0]
recall
0.844444 [0,0.4,1,0,0,1]
recall
0.844444 [1,0.5,1,0,0.285714,0]
recall
0.866667 [0,0.4,1,0,0.428571,0.75]
recall
0.877778 [1,0.6,0.985294,0,0.142857,1]
recall
0.866667 [1,0.7,1,0,0.142857,0.25]
recall
0.9 [1,0.6,1,0,0.571429,0.5]
recall
0.833333 [0,0.5,1,0,0.285714,0]
recall
0.855556 [1,0.7,0.985294,0,0.285714,0]
recall
0.788889 [0,0,0.985294,0,0,1]
recall
0.855556 [0,0.4,1,0,0.714286,0]
recall
0.833333 [1,0.3,1,0,0,0.75]
recall
0.855556 [0,0.6,1,0,0.333333,0]
recall
0.888889 [0,0.7,0.970588,0,0.428571,1]
recall
0.833333 [0,0.5,1,0,0,0.5]
recall
0.844444 [0,0.7,1,0,0.142857,0]
recall
0.866667 [0,0.7,0.970588,0,0.142857,1]
recall
0.8 [0,0.2,1,0,0.285714,0]
recall
0.911111 [1,0.9,1,0,0.142857,0.75]
recall
0.877778 [1,0.4,1,0,0.166667,1]
recall
0.8 [0,0.3,1,0,0.142857,0]
recall
0.876404 [0,0.4,1,0,0.285714,1]
recall
0.910112 [0,0.7,1,0,0.333333,0.75]
recall
0.842697 [0,0.3,1,0,0,1]
recall
0.853933 [0,0.6,1,0,0.142857,0.25]
recall
0.921348 [0,0.7,1,0,0.428571,1]
recall
0.88764 [0,0.7,1,0,0,1]
recall
0.88764 [0,0.6,1,0,0,1]
recall
0.910112 [0,0.9,1,0,0,1]
recall
0.921348 [0,0.7,0.985507,0,0.5,1]
recall
0.786517 [0,0.1,1,0,0,0.25]
recall
0.831461 [0,0.6,1,0,0,0]
recall
0.853933 [0,0.3,1,0,0.166667,0.75]
recall
0.898876 [0,0.5,1,0,0.571429,0.75]
recall
0.898876 [0,0.6,1,0,0.285714,1]
recall
0.808989 [0,0.333333,1,0,0,0]
recall
0.876404 [0,0.6,1,0,0.142857,0.75]
recall
0.955056 [0,0.7,0.985507,0,1,1]
recall
0.921348 [0,0.5,1,0,0.857143,0.75]
recall
0.876404 [0,0.6,1,0,0.166667,0.5]
recall
0.865169 [0,0.3,1,0,0.428571,0.75]
relative_absolute_error
0.558433
relative_absolute_error
0.595237
relative_absolute_error
0.659928
relative_absolute_error
0.573237
relative_absolute_error
0.701551
relative_absolute_error
0.54868
relative_absolute_error
0.582542
relative_absolute_error
0.642249
relative_absolute_error
0.651142
relative_absolute_error
0.582753
relative_absolute_error
0.527727
relative_absolute_error
0.548674
relative_absolute_error
0.641303
relative_absolute_error
0.604972
relative_absolute_error
0.719049
relative_absolute_error
0.51123
relative_absolute_error
0.592539
relative_absolute_error
0.614626
relative_absolute_error
0.615494
relative_absolute_error
0.669772
relative_absolute_error
0.615437
relative_absolute_error
0.617892
relative_absolute_error
0.622741
relative_absolute_error
0.614118
relative_absolute_error
0.570443
relative_absolute_error
0.632827
relative_absolute_error
0.631758
relative_absolute_error
0.585458
relative_absolute_error
0.587462
relative_absolute_error
0.688383
relative_absolute_error
0.647777
relative_absolute_error
0.694012
relative_absolute_error
0.583485
relative_absolute_error
0.625779
relative_absolute_error
0.564172
relative_absolute_error
0.590394
relative_absolute_error
0.729904
relative_absolute_error
0.58422
relative_absolute_error
0.622459
relative_absolute_error
0.678321
relative_absolute_error
0.66342
relative_absolute_error
0.615292
relative_absolute_error
0.581208
relative_absolute_error
0.569785
relative_absolute_error
0.619628
relative_absolute_error
0.515111
relative_absolute_error
0.668359
relative_absolute_error
0.608245
relative_absolute_error
0.601659
relative_absolute_error
0.664078
relative_absolute_error
0.647483
relative_absolute_error
0.581947
relative_absolute_error
0.567718
relative_absolute_error
0.601295
relative_absolute_error
0.605096
relative_absolute_error
0.547144
relative_absolute_error
0.68639
relative_absolute_error
0.604602
relative_absolute_error
0.585215
relative_absolute_error
0.677787
relative_absolute_error
0.634671
relative_absolute_error
0.642661
relative_absolute_error
0.568357
relative_absolute_error
0.635675
relative_absolute_error
0.574809
relative_absolute_error
0.617206
relative_absolute_error
0.683218
relative_absolute_error
0.610739
relative_absolute_error
0.595541
relative_absolute_error
0.707915
relative_absolute_error
0.642433
relative_absolute_error
0.628746
relative_absolute_error
0.59169
relative_absolute_error
0.639704
relative_absolute_error
0.612315
relative_absolute_error
0.636518
relative_absolute_error
0.686311
relative_absolute_error
0.603935
relative_absolute_error
0.599722
relative_absolute_error
0.698889
relative_absolute_error
0.680878
relative_absolute_error
0.599055
relative_absolute_error
0.617944
relative_absolute_error
0.563335
relative_absolute_error
0.557452
relative_absolute_error
0.554491
relative_absolute_error
0.612994
relative_absolute_error
0.528286
relative_absolute_error
0.564679
relative_absolute_error
0.683306
relative_absolute_error
0.642331
relative_absolute_error
0.683211
relative_absolute_error
0.558472
relative_absolute_error
0.582775
relative_absolute_error
0.703629
relative_absolute_error
0.626394
relative_absolute_error
0.485243
relative_absolute_error
0.574826
relative_absolute_error
0.615279
relative_absolute_error
0.626986
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251998
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_squared_error
0.159875
root_mean_squared_error
0.168645
root_mean_squared_error
0.175443
root_mean_squared_error
0.165904
root_mean_squared_error
0.187006
root_mean_squared_error
0.145358
root_mean_squared_error
0.174353
root_mean_squared_error
0.170969
root_mean_squared_error
0.179339
root_mean_squared_error
0.162758
root_mean_squared_error
0.156351
root_mean_squared_error
0.16297
root_mean_squared_error
0.177418
root_mean_squared_error
0.177676
root_mean_squared_error
0.19435
root_mean_squared_error
0.149717
root_mean_squared_error
0.167654
root_mean_squared_error
0.170635
root_mean_squared_error
0.173838
root_mean_squared_error
0.179001
root_mean_squared_error
0.170208
root_mean_squared_error
0.175028
root_mean_squared_error
0.177298
root_mean_squared_error
0.169182
root_mean_squared_error
0.159408
root_mean_squared_error
0.173375
root_mean_squared_error
0.173829
root_mean_squared_error
0.167165
root_mean_squared_error
0.169905
root_mean_squared_error
0.186549
root_mean_squared_error
0.183186
root_mean_squared_error
0.193877
root_mean_squared_error
0.157672
root_mean_squared_error
0.175589
root_mean_squared_error
0.169655
root_mean_squared_error
0.173576
root_mean_squared_error
0.207126
root_mean_squared_error
0.1739
root_mean_squared_error
0.180194
root_mean_squared_error
0.183677
root_mean_squared_error
0.184812
root_mean_squared_error
0.172615
root_mean_squared_error
0.16774
root_mean_squared_error
0.163905
root_mean_squared_error
0.174788
root_mean_squared_error
0.151688
root_mean_squared_error
0.182883
root_mean_squared_error
0.173992
root_mean_squared_error
0.173616
root_mean_squared_error
0.186368
root_mean_squared_error
0.182395
root_mean_squared_error
0.164423
root_mean_squared_error
0.158637
root_mean_squared_error
0.171062
root_mean_squared_error
0.175261
root_mean_squared_error
0.166551
root_mean_squared_error
0.187503
root_mean_squared_error
0.174936
root_mean_squared_error
0.170716
root_mean_squared_error
0.196266
root_mean_squared_error
0.178814
root_mean_squared_error
0.180251
root_mean_squared_error
0.175719
root_mean_squared_error
0.178709
root_mean_squared_error
0.164552
root_mean_squared_error
0.181133
root_mean_squared_error
0.194802
root_mean_squared_error
0.167292
root_mean_squared_error
0.177712
root_mean_squared_error
0.192596
root_mean_squared_error
0.18583
root_mean_squared_error
0.171746
root_mean_squared_error
0.170937
root_mean_squared_error
0.181416
root_mean_squared_error
0.173839
root_mean_squared_error
0.183429
root_mean_squared_error
0.187614
root_mean_squared_error
0.165915
root_mean_squared_error
0.163149
root_mean_squared_error
0.195619
root_mean_squared_error
0.175289
root_mean_squared_error
0.16474
root_mean_squared_error
0.169464
root_mean_squared_error
0.168118
root_mean_squared_error
0.155168
root_mean_squared_error
0.159649
root_mean_squared_error
0.165498
root_mean_squared_error
0.149441
root_mean_squared_error
0.156819
root_mean_squared_error
0.184986
root_mean_squared_error
0.18508
root_mean_squared_error
0.18655
root_mean_squared_error
0.171081
root_mean_squared_error
0.169181
root_mean_squared_error
0.190853
root_mean_squared_error
0.170965
root_mean_squared_error
0.136084
root_mean_squared_error
0.15843
root_mean_squared_error
0.17329
root_mean_squared_error
0.171039
root_relative_squared_error
0.623673
root_relative_squared_error
0.657883
root_relative_squared_error
0.685085
root_relative_squared_error
0.647838
root_relative_squared_error
0.730239
root_relative_squared_error
0.567608
root_relative_squared_error
0.680829
root_relative_squared_error
0.667614
root_relative_squared_error
0.699602
root_relative_squared_error
0.63492
root_relative_squared_error
0.610532
root_relative_squared_error
0.62446
root_relative_squared_error
0.692798
root_relative_squared_error
0.693806
root_relative_squared_error
0.758917
root_relative_squared_error
0.584627
root_relative_squared_error
0.654018
root_relative_squared_error
0.66631
root_relative_squared_error
0.666104
root_relative_squared_error
0.698981
root_relative_squared_error
0.664644
root_relative_squared_error
0.670663
root_relative_squared_error
0.692328
root_relative_squared_error
0.660637
root_relative_squared_error
0.622471
root_relative_squared_error
0.67701
root_relative_squared_error
0.666066
root_relative_squared_error
0.652763
root_relative_squared_error
0.651032
root_relative_squared_error
0.728454
root_relative_squared_error
0.715321
root_relative_squared_error
0.742888
root_relative_squared_error
0.615079
root_relative_squared_error
0.68497
root_relative_squared_error
0.650075
root_relative_squared_error
0.677119
root_relative_squared_error
0.793654
root_relative_squared_error
0.678382
root_relative_squared_error
0.690456
root_relative_squared_error
0.71724
root_relative_squared_error
0.708152
root_relative_squared_error
0.661416
root_relative_squared_error
0.642738
root_relative_squared_error
0.62804
root_relative_squared_error
0.669742
root_relative_squared_error
0.581227
root_relative_squared_error
0.70076
root_relative_squared_error
0.666693
root_relative_squared_error
0.665253
root_relative_squared_error
0.714112
root_relative_squared_error
0.698891
root_relative_squared_error
0.630027
root_relative_squared_error
0.607854
root_relative_squared_error
0.655467
root_relative_squared_error
0.671553
root_relative_squared_error
0.638182
root_relative_squared_error
0.718461
root_relative_squared_error
0.670309
root_relative_squared_error
0.654138
root_relative_squared_error
0.752039
root_relative_squared_error
0.68517
root_relative_squared_error
0.690676
root_relative_squared_error
0.673311
root_relative_squared_error
0.684766
root_relative_squared_error
0.630521
root_relative_squared_error
0.694053
root_relative_squared_error
0.746429
root_relative_squared_error
0.641021
root_relative_squared_error
0.680946
root_relative_squared_error
0.737978
root_relative_squared_error
0.712051
root_relative_squared_error
0.670648
root_relative_squared_error
0.654986
root_relative_squared_error
0.695141
root_relative_squared_error
0.666107
root_relative_squared_error
0.702853
root_relative_squared_error
0.718887
root_relative_squared_error
0.635745
root_relative_squared_error
0.637081
root_relative_squared_error
0.749561
root_relative_squared_error
0.682692
root_relative_squared_error
0.654418
root_relative_squared_error
0.660005
root_relative_squared_error
0.654761
root_relative_squared_error
0.604327
root_relative_squared_error
0.62178
root_relative_squared_error
0.657432
root_relative_squared_error
0.582023
root_relative_squared_error
0.622952
root_relative_squared_error
0.720459
root_relative_squared_error
0.720824
root_relative_squared_error
0.741059
root_relative_squared_error
0.666303
root_relative_squared_error
0.658901
root_relative_squared_error
0.75736
root_relative_squared_error
0.665849
root_relative_squared_error
0.540584
root_relative_squared_error
0.617031
root_relative_squared_error
0.688384
root_relative_squared_error
0.666138
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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
70
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
80
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
80
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
70
usercpu_time_millis_training
70
usercpu_time_millis_training
70