471748
2
Joaquin Vanschoren
4333
Supervised Classification
predictive_accuracy
1172
weka.LibSVM(2)
1924
weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1
S
0
1172
K
2
1172
D
3
1172
G
0.0
1172
R
0.0
1172
C
1.0
1172
N
0.5
1172
P
0.1
1172
M
40.0
1172
E
0.001
1172
model
/Users/joa/Downloads/weka-3-7-12
1172
seed
1
1172
weka
weka_3.7.12
762
fri_c2_100_10
https://www.openml.org/data/download/53296/fri_c2_100_10.arff
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1661157
description
https://api.openml.org/data/download/1661157/weka_generated_run90262403824136649.xml
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1661160
model_readable
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1661159
model_serialized
https://api.openml.org/data/download/1661159/WekaSerialized_weka.classifiers.functions.LibSVM8441493668282119079.model
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1661158
predictions
https://api.openml.org/data/download/1661158/weka_generated_predictions7537629209694623340.arff
area_under_roc_curve
0.735051 [0.735051,0.735051]
average_cost
0
f_measure
0.74168 [0.691657,0.782609]
kappa
0.477138
kb_relative_information_score
482.575387
mean_absolute_error
0.255
mean_prior_absolute_error
0.495098
number_of_instances
1000 [450,550]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.746596 [0.758621,0.736758]
predictive_accuracy
0.745
prior_entropy
0.993055
recall
0.745 [0.635556,0.834545]
relative_absolute_error
0.51505
root_mean_prior_squared_error
0.497495
root_mean_squared_error
0.504975
root_relative_squared_error
1.015036
scimark_benchmark
944.106679 [554.6075200566928, 1014.9881711071126, 482.58056402979616, 911.1714049642114, 1757.1857345400422]
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0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
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area_under_roc_curve
0.708333 [0.708333,0.708333]
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area_under_roc_curve
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area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
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area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
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area_under_roc_curve
0.875 [0.875,0.875]
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area_under_roc_curve
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area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.458333 [0.458333,0.458333]
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0.8 [0.8,0.8]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.541667 [0.541667,0.541667]
area_under_roc_curve
0.75 [0.75,0.75]
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0.70303 [0.666667,0.727273]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.6 [0.6,0.6]
f_measure
0.8 [0.75,0.833333]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.8 [0.8,0.8]
f_measure
0.6 [0.5,0.666667]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.8 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.45 [0,0.75]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.6 [0.5,0.666667]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.8 [0.8,0.8]
f_measure
0.896703 [0.857143,0.923077]
f_measure
1 [1,1]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.494949 [0.444444,0.545455]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.52381 [0.333333,0.714286]
f_measure
0.69697 [0.666667,0.727273]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.450549 [0.285714,0.615385]
f_measure
0.6 [0.6,0.6]
f_measure
0.6 [0.6,0.6]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.52381 [0.333333,0.714286]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.8 [0.8,0.8]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.483516 [0.285714,0.615385]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.6 [0.6,0.6]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.375 [0.25,0.5]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.90101 [0.888889,0.909091]
f_measure
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f_measure
0.90101 [0.888889,0.909091]
f_measure
0.483516 [0.285714,0.615385]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.505051 [0.444444,0.545455]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.89899 [0.888889,0.909091]
f_measure
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f_measure
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f_measure
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f_measure
1 [1,1]
f_measure
0.896703 [0.857143,0.923077]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.791667 [0.75,0.833333]
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f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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0.583333
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3.770257
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kb_relative_information_score
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7.826292
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kb_relative_information_score
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4.056035
kb_relative_information_score
7.826292
kb_relative_information_score
-0.285778
kb_relative_information_score
6.084052
kb_relative_information_score
1.74224
kb_relative_information_score
5.798275
kb_relative_information_score
4.056035
kb_relative_information_score
5.798275
kb_relative_information_score
-0.285778
kb_relative_information_score
1.74224
kb_relative_information_score
4.056035
kb_relative_information_score
5.798275
kb_relative_information_score
1.74224
kb_relative_information_score
8.11207
kb_relative_information_score
7.826292
kb_relative_information_score
3.770257
kb_relative_information_score
2.028017
kb_relative_information_score
9.854309
kb_relative_information_score
7.826292
kb_relative_information_score
3.770257
kb_relative_information_score
6.084052
kb_relative_information_score
1.74224
kb_relative_information_score
3.770257
kb_relative_information_score
4.056035
kb_relative_information_score
5.798275
kb_relative_information_score
5.798275
kb_relative_information_score
2.028017
kb_relative_information_score
5.798275
kb_relative_information_score
5.798275
kb_relative_information_score
7.826292
kb_relative_information_score
6.084052
kb_relative_information_score
7.826292
kb_relative_information_score
7.826292
kb_relative_information_score
8.11207
kb_relative_information_score
1.74224
kb_relative_information_score
5.798275
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.1
mean_absolute_error
0
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.5
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.1
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.1
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.6
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.1
mean_absolute_error
0.5
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.5
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.4
mean_absolute_error
0
mean_absolute_error
0.1
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.1
mean_absolute_error
0.2
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.4
mean_absolute_error
0.2
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
precision
0.72 [0.6,0.8]
precision
0.8125 [1,0.625]
precision
0.857143 [1,0.714286]
precision
0.6 [0.6,0.6]
precision
0.8 [0.75,0.833333]
precision
0.8125 [1,0.625]
precision
0.8 [0.8,0.8]
precision
0.6 [0.5,0.666667]
precision
0.857143 [1,0.714286]
precision
0.857143 [1,0.714286]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.916667 [1,0.833333]
precision
0.8125 [1,0.625]
precision
0.36 [0,0.6]
precision
0.708333 [0.75,0.666667]
precision
0.916667 [1,0.833333]
precision
0.6 [0.5,0.666667]
precision
0.708333 [0.666667,0.75]
precision
0.8 [0.8,0.8]
precision
0.914286 [1,0.857143]
precision
1 [1,1]
precision
0.708333 [0.666667,0.75]
precision
0.8125 [1,0.625]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.75,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.8,0.8]
precision
0.5 [0.5,0.5]
precision
0.695238 [0.666667,0.714286]
precision
0.777778 [1,0.555556]
precision
0.708333 [0.75,0.666667]
precision
1 [1,1]
precision
1 [1,1]
precision
0.916667 [1,0.833333]
precision
0.5 [0.5,0.5]
precision
0.65 [0.5,0.75]
precision
0.6 [0.6,0.6]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.777778 [1,0.555556]
precision
0.85 [1,0.75]
precision
0.8 [0.8,0.8]
precision
0.916667 [1,0.833333]
precision
0.85 [1,0.75]
precision
0.708333 [0.75,0.666667]
precision
0.916667 [1,0.833333]
precision
0.916667 [0.833333,1]
precision
0.47619 [0.333333,0.571429]
precision
0.914286 [1,0.857143]
precision
0.85 [1,0.75]
precision
0.6 [0.6,0.6]
precision
0.914286 [1,0.857143]
precision
0.92 [0.8,1]
precision
0.380952 [0.333333,0.428571]
precision
0.914286 [1,0.857143]
precision
0.52 [0.4,0.6]
precision
0.619048 [0.666667,0.571429]
precision
0.828571 [0.571429,1]
precision
0.695238 [0.666667,0.714286]
precision
0.92 [0.8,1]
precision
0.708333 [0.75,0.666667]
precision
0.92 [0.8,1]
precision
0.47619 [0.333333,0.571429]
precision
0.8 [0.8,0.8]
precision
0.6 [0.5,0.666667]
precision
0.85 [1,0.75]
precision
0.8125 [1,0.625]
precision
0.866667 [0.666667,1]
precision
0.52 [0.4,0.6]
precision
0.6 [0.5,0.666667]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.6 [0.5,0.666667]
precision
0.916667 [1,0.833333]
precision
0.914286 [1,0.857143]
precision
0.695238 [0.666667,0.714286]
precision
0.6 [0.6,0.6]
precision
1 [1,1]
precision
0.914286 [1,0.857143]
precision
0.72 [0.6,0.8]
precision
0.857143 [1,0.714286]
precision
0.6 [0.5,0.666667]
precision
0.695238 [0.666667,0.714286]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.75,0.833333]
precision
0.619048 [0.666667,0.571429]
precision
0.85 [1,0.75]
precision
0.85 [1,0.75]
precision
0.92 [0.8,1]
precision
0.8 [0.8,0.8]
precision
0.914286 [1,0.857143]
precision
0.92 [0.8,1]
precision
0.916667 [1,0.833333]
precision
0.575 [0.5,0.625]
precision
0.85 [1,0.75]
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.8
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
recall
0.7 [0.75,0.666667]
recall
0.7 [0.4,1]
recall
0.8 [0.6,1]
recall
0.6 [0.6,0.6]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.4,1]
recall
0.8 [0.8,0.8]
recall
0.6 [0.5,0.666667]
recall
0.8 [0.6,1]
recall
0.8 [0.6,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.6,0.8]
recall
0.9 [0.8,1]
recall
0.7 [0.4,1]
recall
0.6 [0,1]
recall
0.7 [0.6,0.8]
recall
0.9 [0.8,1]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.8,0.6]
recall
0.8 [0.8,0.8]
recall
0.9 [0.75,1]
recall
1 [1,1]
recall
0.7 [0.8,0.6]
recall
0.7 [0.4,1]
recall
0.7 [0.75,0.666667]
recall
0.7 [0.6,0.8]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.8,0.8]
recall
0.5 [0.4,0.6]
recall
0.7 [0.5,0.833333]
recall
0.6 [0.2,1]
recall
0.7 [0.6,0.8]
recall
1 [1,1]
recall
1 [1,1]
recall
0.9 [0.8,1]
recall
0.5 [0.2,0.8]
recall
0.6 [0.75,0.5]
recall
0.6 [0.6,0.6]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.6,0.8]
recall
0.7 [0.6,0.8]
recall
0.6 [0.2,1]
recall
0.8 [0.5,1]
recall
0.8 [0.8,0.8]
recall
0.9 [0.8,1]
recall
0.8 [0.5,1]
recall
0.7 [0.6,0.8]
recall
0.9 [0.8,1]
recall
0.9 [1,0.8]
recall
0.5 [0.25,0.666667]
recall
0.9 [0.75,1]
recall
0.8 [0.5,1]
recall
0.6 [0.6,0.6]
recall
0.9 [0.75,1]
recall
0.9 [1,0.833333]
recall
0.4 [0.2,0.6]
recall
0.9 [0.75,1]
recall
0.5 [0.5,0.5]
recall
0.6 [0.4,0.8]
recall
0.7 [1,0.5]
recall
0.7 [0.5,0.833333]
recall
0.9 [1,0.833333]
recall
0.7 [0.6,0.8]
recall
0.9 [1,0.833333]
recall
0.5 [0.25,0.666667]
recall
0.8 [0.8,0.8]
recall
0.6 [0.5,0.666667]
recall
0.8 [0.5,1]
recall
0.7 [0.4,1]
recall
0.8 [1,0.666667]
recall
0.5 [0.5,0.5]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.5,0.666667]
recall
0.9 [0.8,1]
recall
0.9 [0.75,1]
recall
0.7 [0.5,0.833333]
recall
0.6 [0.6,0.6]
recall
1 [1,1]
recall
0.9 [0.75,1]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.6,1]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.5,0.833333]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.4,0.8]
recall
0.8 [0.5,1]
recall
0.8 [0.5,1]
recall
0.9 [1,0.833333]
recall
0.8 [0.8,0.8]
recall
0.9 [0.75,1]
recall
0.9 [1,0.833333]
recall
0.9 [0.8,1]
recall
0.6 [0.25,0.833333]
recall
0.8 [0.5,1]
relative_absolute_error
0.612
relative_absolute_error
0.6
relative_absolute_error
0.4
relative_absolute_error
0.8
relative_absolute_error
0.408
relative_absolute_error
0.6
relative_absolute_error
0.4
relative_absolute_error
0.816
relative_absolute_error
0.4
relative_absolute_error
0.4
relative_absolute_error
0.408
relative_absolute_error
0.6
relative_absolute_error
0.2
relative_absolute_error
0.6
relative_absolute_error
0.816
relative_absolute_error
0.6
relative_absolute_error
0.2
relative_absolute_error
0.816
relative_absolute_error
0.6
relative_absolute_error
0.4
relative_absolute_error
0.204
relative_absolute_error
0
relative_absolute_error
0.6
relative_absolute_error
0.6
relative_absolute_error
0.612
relative_absolute_error
0.6
relative_absolute_error
0.6
relative_absolute_error
0.408
relative_absolute_error
0.4
relative_absolute_error
1
relative_absolute_error
0.612
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.2
relative_absolute_error
1
relative_absolute_error
0.816
relative_absolute_error
0.8
relative_absolute_error
0.6
relative_absolute_error
0.408
relative_absolute_error
0.6
relative_absolute_error
0.6
relative_absolute_error
0.8
relative_absolute_error
0.408
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.408
relative_absolute_error
0.6
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
1.02
relative_absolute_error
0.204
relative_absolute_error
0.408
relative_absolute_error
0.8
relative_absolute_error
0.204
relative_absolute_error
0.204
relative_absolute_error
1.2
relative_absolute_error
0.204
relative_absolute_error
1.02
relative_absolute_error
0.8
relative_absolute_error
0.612
relative_absolute_error
0.612
relative_absolute_error
0.204
relative_absolute_error
0.6
relative_absolute_error
0.204
relative_absolute_error
1.02
relative_absolute_error
0.4
relative_absolute_error
0.816
relative_absolute_error
0.408
relative_absolute_error
0.6
relative_absolute_error
0.408
relative_absolute_error
1.02
relative_absolute_error
0.816
relative_absolute_error
0.6
relative_absolute_error
0.408
relative_absolute_error
0.816
relative_absolute_error
0.2
relative_absolute_error
0.204
relative_absolute_error
0.612
relative_absolute_error
0.8
relative_absolute_error
0
relative_absolute_error
0.204
relative_absolute_error
0.612
relative_absolute_error
0.4
relative_absolute_error
0.816
relative_absolute_error
0.612
relative_absolute_error
0.6
relative_absolute_error
0.408
relative_absolute_error
0.408
relative_absolute_error
0.8
relative_absolute_error
0.408
relative_absolute_error
0.408
relative_absolute_error
0.204
relative_absolute_error
0.4
relative_absolute_error
0.204
relative_absolute_error
0.204
relative_absolute_error
0.2
relative_absolute_error
0.816
relative_absolute_error
0.408
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.316228
root_mean_squared_error
0
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.707107
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.316228
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.316228
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.774597
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.316228
root_mean_squared_error
0.707107
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.707107
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.632456
root_mean_squared_error
0
root_mean_squared_error
0.316228
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.316228
root_mean_squared_error
0.447214
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.632456
root_mean_squared_error
0.447214
root_relative_squared_error
1.112029
root_relative_squared_error
1.090218
root_relative_squared_error
0.890159
root_relative_squared_error
1.258876
root_relative_squared_error
0.907968
root_relative_squared_error
1.090218
root_relative_squared_error
0.890159
root_relative_squared_error
1.284061
root_relative_squared_error
0.890159
root_relative_squared_error
0.890159
root_relative_squared_error
0.907968
root_relative_squared_error
1.090218
root_relative_squared_error
0.629438
root_relative_squared_error
1.090218
root_relative_squared_error
1.284061
root_relative_squared_error
1.090218
root_relative_squared_error
0.629438
root_relative_squared_error
1.284061
root_relative_squared_error
1.090218
root_relative_squared_error
0.890159
root_relative_squared_error
0.64203
root_relative_squared_error
0
root_relative_squared_error
1.090218
root_relative_squared_error
1.090218
root_relative_squared_error
1.112029
root_relative_squared_error
1.090218
root_relative_squared_error
1.090218
root_relative_squared_error
0.907968
root_relative_squared_error
0.890159
root_relative_squared_error
1.407466
root_relative_squared_error
1.112029
root_relative_squared_error
1.258876
root_relative_squared_error
1.090218
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.629438
root_relative_squared_error
1.407466
root_relative_squared_error
1.284061
root_relative_squared_error
1.258876
root_relative_squared_error
1.090218
root_relative_squared_error
0.907968
root_relative_squared_error
1.090218
root_relative_squared_error
1.090218
root_relative_squared_error
1.258876
root_relative_squared_error
0.907968
root_relative_squared_error
0.890159
root_relative_squared_error
0.629438
root_relative_squared_error
0.907968
root_relative_squared_error
1.090218
root_relative_squared_error
0.629438
root_relative_squared_error
0.629438
root_relative_squared_error
1.435623
root_relative_squared_error
0.64203
root_relative_squared_error
0.907968
root_relative_squared_error
1.258876
root_relative_squared_error
0.64203
root_relative_squared_error
0.64203
root_relative_squared_error
1.541801
root_relative_squared_error
0.64203
root_relative_squared_error
1.435623
root_relative_squared_error
1.258876
root_relative_squared_error
1.112029
root_relative_squared_error
1.112029
root_relative_squared_error
0.64203
root_relative_squared_error
1.090218
root_relative_squared_error
0.64203
root_relative_squared_error
1.435623
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