396091
2
Joaquin Vanschoren
4280
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
682
sleuth_ex2016
https://www.openml.org/data/download/52982/sleuth_ex2016.arff
-1
1385243
description
https://api.openml.org/data/download/1385243/weka_generated_run6152076054384310791.xml
-1
1385246
model_readable
https://api.openml.org/data/download/1385246/WekaModel_weka.classifiers.functions.LibSVM4610249660216758165.model
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1385245
model_serialized
https://api.openml.org/data/download/1385245/WekaSerialized_weka.classifiers.functions.LibSVM8685242385090910740.model
-1
1385244
predictions
https://api.openml.org/data/download/1385244/weka_generated_predictions4592176334649284792.arff
area_under_roc_curve
0.693627 [0.693627,0.693627]
average_cost
0
f_measure
0.70545 [0.755043,0.635193]
kappa
0.390606
kb_relative_information_score
337.610145
mean_absolute_error
0.293103
mean_prior_absolute_error
0.485471
number_of_instances
870 [510,360]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.704839 [0.740113,0.654867]
predictive_accuracy
0.706897
prior_entropy
0.979412
recall
0.706897 [0.770588,0.616667]
relative_absolute_error
0.603751
root_mean_prior_squared_error
0.492516
root_mean_squared_error
0.54139
root_relative_squared_error
1.099234
scimark_benchmark
945.988042 [560.8490563082227, 1014.4538012229739, 483.449727694041, 908.3298941433044, 1762.8577294742872]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.775 [0.775,0.775]
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0.916667 [0.916667,0.916667]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
1 [1,1]
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
0.675 [0.675,0.675]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.475 [0.475,0.475]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.65 [0.65,0.65]
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
0.65 [0.65,0.65]
area_under_roc_curve
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area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.533333 [0.533333,0.533333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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0
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0
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average_cost
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average_cost
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0
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f_measure
0.777778 [0.8,0.75]
f_measure
0.891775 [0.909091,0.857143]
f_measure
0.555556 [0.6,0.5]
f_measure
0.738095 [0.857143,0.5]
f_measure
0.891775 [0.909091,0.857143]
f_measure
0.891775 [0.909091,0.857143]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.675325 [0.727273,0.571429]
f_measure
0.666667 [0.666667,0.666667]
f_measure
1 [1,1]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.777778 [0.8,0.75]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.430014 [0.545455,0.285714]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.777778 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.555556 [0.6,0.5]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.605128 [0.769231,0.4]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.640693 [0.571429,0.727273]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.544444 [0.5,0.6]
f_measure
0.640693 [0.571429,0.727273]
f_measure
0.777778 [0.8,0.75]
f_measure
0.605128 [0.769231,0.4]
f_measure
0.544444 [0.5,0.6]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.777778 [0.8,0.75]
f_measure
0.401154 [0.285714,0.545455]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.605128 [0.769231,0.4]
f_measure
0.544444 [0.5,0.6]
f_measure
0.777778 [0.8,0.75]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.555556 [0.6,0.5]
f_measure
0.777778 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.34188 [0.615385,0]
f_measure
0.777778 [0.8,0.75]
f_measure
0.772222 [0.75,0.8]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.646154 [0.769231,0.4]
f_measure
0.777778 [0.8,0.75]
f_measure
0.882051 [0.923077,0.8]
f_measure
0.777778 [0.8,0.75]
f_measure
0.430014 [0.545455,0.285714]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.777778 [0.833333,0.666667]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.738095 [0.857143,0.5]
f_measure
0.555556 [0.6,0.5]
f_measure
0.876984 [0.888889,0.857143]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.604545 [0.727273,0.4]
f_measure
0.5 [0.6,0.333333]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.75 [0.8,0.666667]
f_measure
0.75 [0.8,0.666667]
f_measure
0.604545 [0.727273,0.4]
f_measure
0.75 [0.8,0.666667]
f_measure
0.868182 [0.909091,0.8]
f_measure
0.75 [0.8,0.666667]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.5 [0.5,0.5]
f_measure
0.604545 [0.727273,0.4]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.604545 [0.727273,0.4]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.630952 [0.666667,0.571429]
f_measure
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f_measure
0.604545 [0.727273,0.4]
f_measure
0.868182 [0.909091,0.8]
f_measure
0.708333 [0.833333,0.5]
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
0.708333 [0.833333,0.5]
f_measure
0.708333 [0.833333,0.5]
f_measure
0.75 [0.8,0.666667]
f_measure
0.604545 [0.727273,0.4]
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0.55
kappa
0.769231
kappa
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kappa
0.4
kappa
0.769231
kappa
0.769231
kappa
0.052632
kappa
0.307692
kappa
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1
kappa
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0.372093
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0.372093
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0.526316
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0.714286
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0.714286
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0.384615
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kb_relative_information_score
6.543754
kb_relative_information_score
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kb_relative_information_score
4.459264
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6.543754
kb_relative_information_score
0.791591
kb_relative_information_score
2.374774
kb_relative_information_score
2.876081
kb_relative_information_score
8.628244
kb_relative_information_score
7.045061
kb_relative_information_score
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kb_relative_information_score
4.960571
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.876081
kb_relative_information_score
4.960571
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.876081
kb_relative_information_score
2.876081
kb_relative_information_score
0.791591
kb_relative_information_score
4.960571
kb_relative_information_score
2.876081
kb_relative_information_score
-1.292899
kb_relative_information_score
4.960571
kb_relative_information_score
4.960571
kb_relative_information_score
7.045061
kb_relative_information_score
2.374774
kb_relative_information_score
4.960571
kb_relative_information_score
6.543754
kb_relative_information_score
4.960571
kb_relative_information_score
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kb_relative_information_score
0.791591
kb_relative_information_score
4.459264
kb_relative_information_score
7.045061
kb_relative_information_score
4.459264
kb_relative_information_score
0.791591
kb_relative_information_score
5.752163
kb_relative_information_score
1.583183
kb_relative_information_score
1.583183
kb_relative_information_score
-0.501307
kb_relative_information_score
1.583183
kb_relative_information_score
3.667673
kb_relative_information_score
3.667673
kb_relative_information_score
1.583183
kb_relative_information_score
3.667673
kb_relative_information_score
5.752163
kb_relative_information_score
3.667673
kb_relative_information_score
1.583183
kb_relative_information_score
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kb_relative_information_score
1.583183
kb_relative_information_score
1.583183
kb_relative_information_score
1.583183
kb_relative_information_score
1.583183
kb_relative_information_score
1.583183
kb_relative_information_score
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kb_relative_information_score
1.583183
kb_relative_information_score
5.752163
kb_relative_information_score
3.667673
kb_relative_information_score
3.667673
kb_relative_information_score
1.583183
kb_relative_information_score
5.752163
kb_relative_information_score
1.583183
kb_relative_information_score
3.667673
kb_relative_information_score
3.667673
kb_relative_information_score
3.667673
kb_relative_information_score
1.583183
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.111111
mean_absolute_error
0.444444
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.555556
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.444444
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.111111
mean_absolute_error
0.111111
mean_absolute_error
0.222222
mean_absolute_error
0.555556
mean_absolute_error
0.444444
mean_absolute_error
0.333333
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.444444
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.333333
mean_absolute_error
0.555556
mean_absolute_error
0.222222
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.333333
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.222222
mean_absolute_error
0.555556
mean_absolute_error
0.444444
mean_absolute_error
0.222222
mean_absolute_error
0.111111
mean_absolute_error
0.222222
mean_absolute_error
0.444444
mean_absolute_error
0.125
mean_absolute_error
0.375
mean_absolute_error
0.375
mean_absolute_error
0.5
mean_absolute_error
0.375
mean_absolute_error
0.25
mean_absolute_error
0.25
mean_absolute_error
0.375
mean_absolute_error
0.25
mean_absolute_error
0.125
mean_absolute_error
0.25
mean_absolute_error
0.375
mean_absolute_error
0.5
mean_absolute_error
0.375
mean_absolute_error
0.375
mean_absolute_error
0.375
mean_absolute_error
0.375
mean_absolute_error
0.375
mean_absolute_error
0.5
mean_absolute_error
0.375
mean_absolute_error
0.125
mean_absolute_error
0.25
mean_absolute_error
0.25
mean_absolute_error
0.375
mean_absolute_error
0.125
mean_absolute_error
0.375
mean_absolute_error
0.25
mean_absolute_error
0.25
mean_absolute_error
0.25
mean_absolute_error
0.375
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
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mean_prior_absolute_error
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0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
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0.490637
mean_prior_absolute_error
0.490637
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0.490637
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0.490637
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0.490637
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0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
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0.490637
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0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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9 [5,4]
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number_of_instances
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number_of_instances
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9 [5,4]
number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
precision
0.777778 [0.8,0.75]
precision
0.916667 [1,0.75]
precision
0.555556 [0.6,0.5]
precision
0.833333 [0.75,1]
precision
0.916667 [1,0.75]
precision
0.916667 [1,0.75]
precision
0.539683 [0.571429,0.5]
precision
0.7 [0.8,0.5]
precision
0.683333 [0.75,0.6]
precision
1 [1,1]
precision
0.911111 [1,0.8]
precision
0.666667 [0.666667,0.666667]
precision
0.777778 [0.8,0.75]
precision
0.907407 [0.833333,1]
precision
0.683333 [0.75,0.6]
precision
0.425926 [0.5,0.333333]
precision
0.911111 [1,0.8]
precision
0.666667 [0.666667,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.555556 [0.6,0.5]
precision
0.84127 [0.714286,1]
precision
0.791667 [0.625,1]
precision
0.666667 [0.666667,0.666667]
precision
0.907407 [0.833333,1]
precision
0.809524 [1,0.571429]
precision
0.683333 [0.75,0.6]
precision
0.777778 [0.8,0.75]
precision
0.592593 [0.666667,0.5]
precision
0.809524 [1,0.571429]
precision
0.777778 [0.8,0.75]
precision
0.791667 [0.625,1]
precision
0.592593 [0.666667,0.5]
precision
0.84127 [0.714286,1]
precision
0.907407 [0.833333,1]
precision
0.907407 [0.833333,1]
precision
0.911111 [1,0.8]
precision
0.777778 [0.8,0.75]
precision
0.468254 [0.5,0.428571]
precision
0.539683 [0.571429,0.5]
precision
0.791667 [0.625,1]
precision
0.592593 [0.666667,0.5]
precision
0.777778 [0.8,0.75]
precision
0.666667 [0.666667,0.666667]
precision
0.539683 [0.571429,0.5]
precision
0.911111 [1,0.8]
precision
0.666667 [0.666667,0.666667]
precision
0.84127 [0.714286,1]
precision
0.84127 [0.714286,1]
precision
0.666667 [0.666667,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.555556 [0.6,0.5]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.277778 [0.5,0]
precision
0.777778 [0.8,0.75]
precision
0.851852 [1,0.666667]
precision
0.907407 [0.833333,1]
precision
0.642857 [0.714286,0.5]
precision
0.777778 [0.8,0.75]
precision
0.904762 [0.857143,1]
precision
0.777778 [0.8,0.75]
precision
0.425926 [0.5,0.333333]
precision
0.539683 [0.571429,0.5]
precision
0.777778 [0.833333,0.666667]
precision
0.911111 [1,0.8]
precision
0.833333 [0.75,1]
precision
0.555556 [0.6,0.5]
precision
0.90625 [1,0.75]
precision
0.65625 [0.75,0.5]
precision
0.604167 [0.666667,0.5]
precision
0.5 [0.6,0.333333]
precision
0.65625 [0.75,0.5]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
0.604167 [0.666667,0.5]
precision
0.75 [0.8,0.666667]
precision
0.895833 [0.833333,1]
precision
0.75 [0.8,0.666667]
precision
0.65625 [0.75,0.5]
precision
0.566667 [0.666667,0.4]
precision
0.604167 [0.666667,0.5]
precision
0.65625 [0.75,0.5]
precision
0.604167 [0.666667,0.5]
precision
0.65625 [0.75,0.5]
precision
0.65625 [0.75,0.5]
precision
0.5 [0.6,0.333333]
precision
0.604167 [0.666667,0.5]
precision
0.895833 [0.833333,1]
precision
0.821429 [0.714286,1]
precision
0.75 [0.8,0.666667]
precision
0.65625 [0.75,0.5]
precision
0.895833 [0.833333,1]
precision
0.8125 [1,0.5]
precision
0.821429 [0.714286,1]
precision
0.821429 [0.714286,1]
precision
0.75 [0.8,0.666667]
precision
0.604167 [0.666667,0.5]
predictive_accuracy
0.777778
predictive_accuracy
0.888889
predictive_accuracy
0.555556
predictive_accuracy
0.777778
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.555556
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
1
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predictive_accuracy
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predictive_accuracy
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0.888889
predictive_accuracy
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predictive_accuracy
0.444444
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predictive_accuracy
0.777778
predictive_accuracy
0.666667
predictive_accuracy
0.555556
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0.777778
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.555556
predictive_accuracy
0.777778
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.777778
predictive_accuracy
0.888889
predictive_accuracy
0.666667
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predictive_accuracy
0.777778
predictive_accuracy
0.444444
predictive_accuracy
0.555556
predictive_accuracy
0.777778
predictive_accuracy
0.888889
predictive_accuracy
0.777778
predictive_accuracy
0.555556
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
recall
0.777778 [0.8,0.75]
recall
0.888889 [0.833333,1]
recall
0.555556 [0.6,0.5]
recall
0.777778 [1,0.333333]
recall
0.888889 [0.833333,1]
recall
0.888889 [0.833333,1]
recall
0.555556 [0.8,0.25]
recall
0.666667 [0.666667,0.666667]
recall
0.666667 [0.6,0.75]
recall
1 [1,1]
recall
0.888889 [0.8,1]
recall
0.666667 [0.8,0.5]
recall
0.777778 [0.8,0.75]
recall
0.888889 [1,0.75]
recall
0.666667 [0.6,0.75]
recall
0.444444 [0.6,0.25]
recall
0.888889 [0.8,1]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.8,0.5]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.555556 [0.6,0.5]
recall
0.777778 [1,0.5]
recall
0.666667 [1,0.25]
recall
0.666667 [0.8,0.5]
recall
0.888889 [1,0.75]
recall
0.666667 [0.4,1]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.8,0.75]
recall
0.555556 [0.4,0.75]
recall
0.666667 [0.4,1]
recall
0.777778 [0.8,0.75]
recall
0.666667 [1,0.25]
recall
0.555556 [0.4,0.75]
recall
0.777778 [1,0.5]
recall
0.888889 [1,0.75]
recall
0.888889 [1,0.75]
recall
0.888889 [0.8,1]
recall
0.777778 [0.8,0.75]
recall
0.444444 [0.2,0.75]
recall
0.555556 [0.8,0.25]
recall
0.666667 [1,0.25]
recall
0.555556 [0.4,0.75]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.8,0.25]
recall
0.888889 [0.8,1]
recall
0.666667 [0.8,0.5]
recall
0.777778 [1,0.5]
recall
0.777778 [1,0.5]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.6,0.5]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.444444 [0.8,0]
recall
0.777778 [0.8,0.75]
recall
0.777778 [0.6,1]
recall
0.888889 [1,0.75]
recall
0.666667 [0.833333,0.333333]
recall
0.777778 [0.8,0.75]
recall
0.888889 [1,0.666667]
recall
0.777778 [0.8,0.75]
recall
0.444444 [0.6,0.25]
recall
0.555556 [0.8,0.25]
recall
0.777778 [0.833333,0.666667]
recall
0.888889 [0.8,1]
recall
0.777778 [1,0.333333]
recall
0.555556 [0.6,0.5]
recall
0.875 [0.8,1]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.8,0.333333]
recall
0.5 [0.6,0.333333]
recall
0.625 [0.6,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.8,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.875 [1,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.5 [0.4,0.666667]
recall
0.625 [0.8,0.333333]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.8,0.333333]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.5 [0.6,0.333333]
recall
0.625 [0.8,0.333333]
recall
0.875 [1,0.666667]
recall
0.75 [1,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.875 [1,0.666667]
recall
0.625 [0.4,1]
recall
0.75 [1,0.333333]
recall
0.75 [1,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.8,0.333333]
relative_absolute_error
0.452926
relative_absolute_error
0.23545
relative_absolute_error
0.905852
relative_absolute_error
0.470899
relative_absolute_error
0.23545
relative_absolute_error
0.23545
relative_absolute_error
0.905852
relative_absolute_error
0.706349
relative_absolute_error
0.679389
relative_absolute_error
0
relative_absolute_error
0.226463
relative_absolute_error
0.679389
relative_absolute_error
0.452926
relative_absolute_error
0.226463
relative_absolute_error
0.679389
relative_absolute_error
1.132316
relative_absolute_error
0.226463
relative_absolute_error
0.679389
relative_absolute_error
0.679389
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
0.905852
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
0.679389
relative_absolute_error
0.226463
relative_absolute_error
0.679389
relative_absolute_error
0.679389
relative_absolute_error
0.452926
relative_absolute_error
0.905852
relative_absolute_error
0.679389
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
0.905852
relative_absolute_error
0.452926
relative_absolute_error
0.226463
relative_absolute_error
0.226463
relative_absolute_error
0.226463
relative_absolute_error
0.452926
relative_absolute_error
1.132316
relative_absolute_error
0.905852
relative_absolute_error
0.679389
relative_absolute_error
0.905852
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
0.905852
relative_absolute_error
0.226463
relative_absolute_error
0.679389
relative_absolute_error
0.452926
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
0.679389
relative_absolute_error
0.679389
relative_absolute_error
0.905852
relative_absolute_error
0.452926
relative_absolute_error
0.679389
relative_absolute_error
1.132316
relative_absolute_error
0.452926
relative_absolute_error
0.452926
relative_absolute_error
0.226463
relative_absolute_error
0.706349
relative_absolute_error
0.452926
relative_absolute_error
0.23545
relative_absolute_error
0.452926
relative_absolute_error
1.132316
relative_absolute_error
0.905852
relative_absolute_error
0.470899
relative_absolute_error
0.226463
relative_absolute_error
0.470899
relative_absolute_error
0.905852
relative_absolute_error
0.260997
relative_absolute_error
0.782991
relative_absolute_error
0.782991
relative_absolute_error
1.043988
relative_absolute_error
0.782991
relative_absolute_error
0.521994
relative_absolute_error
0.521994
relative_absolute_error
0.782991
relative_absolute_error
0.521994
relative_absolute_error
0.260997
relative_absolute_error
0.521994
relative_absolute_error
0.782991
relative_absolute_error
1.043988
relative_absolute_error
0.782991
relative_absolute_error
0.782991
relative_absolute_error
0.782991
relative_absolute_error
0.782991
relative_absolute_error
0.782991
relative_absolute_error
1.043988
relative_absolute_error
0.782991
relative_absolute_error
0.260997
relative_absolute_error
0.521994
relative_absolute_error
0.521994
relative_absolute_error
0.782991
relative_absolute_error
0.260997
relative_absolute_error
0.782991
relative_absolute_error
0.521994
relative_absolute_error
0.521994
relative_absolute_error
0.521994
relative_absolute_error
0.782991
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.333333
root_mean_squared_error
0.666667
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.745356
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.666667
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.333333
root_mean_squared_error
0.333333
root_mean_squared_error
0.471405
root_mean_squared_error
0.745356
root_mean_squared_error
0.666667
root_mean_squared_error
0.57735
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.666667
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.57735
root_mean_squared_error
0.745356
root_mean_squared_error
0.471405
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.57735
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.471405
root_mean_squared_error
0.745356
root_mean_squared_error
0.666667
root_mean_squared_error
0.471405
root_mean_squared_error
0.333333
root_mean_squared_error
0.471405
root_mean_squared_error
0.666667
root_mean_squared_error
0.353553
root_mean_squared_error
0.612372
root_mean_squared_error
0.612372
root_mean_squared_error
0.707107
root_mean_squared_error
0.612372
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.612372
root_mean_squared_error
0.5
root_mean_squared_error
0.353553
root_mean_squared_error
0.5
root_mean_squared_error
0.612372
root_mean_squared_error
0.707107
root_mean_squared_error
0.612372
root_mean_squared_error
0.612372
root_mean_squared_error
0.612372
root_mean_squared_error
0.612372
root_mean_squared_error
0.612372
root_mean_squared_error
0.707107
root_mean_squared_error
0.612372
root_mean_squared_error
0.353553
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.612372
root_mean_squared_error
0.353553
root_mean_squared_error
0.612372
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.612372
root_relative_squared_error
0.947103
root_relative_squared_error
0.696546
root_relative_squared_error
1.339406
root_relative_squared_error
0.985065
root_relative_squared_error
0.696546
root_relative_squared_error
0.696546
root_relative_squared_error
1.339406
root_relative_squared_error
1.206454
root_relative_squared_error
1.15996
root_relative_squared_error
0
root_relative_squared_error
0.669703
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