437450
2
Joaquin Vanschoren
4523
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2065
weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
R
1.0
1164
A
5
1164
M
-1
1164
G
3
1196
H
3
1196
P
50
1196
F
weka.filters.unsupervised.attribute.PrincipalComponents
1196
S
1
1196
num-slots
1
1196
I
80
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
955
tae
https://www.openml.org/data/download/53489/tae.arff
-1
1530009
description
https://api.openml.org/data/download/1530009/weka_generated_run8547556639308663612.xml
-1
1530012
model_readable
https://api.openml.org/data/download/1530012/WekaModel_weka.classifiers.meta.RotationForest5827678066182893484.model
-1
1530011
model_serialized
https://api.openml.org/data/download/1530011/WekaSerialized_weka.classifiers.meta.RotationForest9060082470206900646.model
-1
1530010
predictions
https://api.openml.org/data/download/1530010/weka_generated_predictions1874544596529805302.arff
area_under_roc_curve
0.759713 [0.759713,0.759713]
average_cost
0
f_measure
0.729242 [0.549941,0.823421]
kappa
0.385259
kb_relative_information_score
315.727941
mean_absolute_error
0.36514
mean_prior_absolute_error
0.452192
number_of_instances
1510 [520,990]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.74004 [0.706949,0.757422]
predictive_accuracy
0.746358
prior_entropy
0.930817
recall
0.746358 [0.45,0.90202]
relative_absolute_error
0.807488
root_mean_prior_squared_error
0.475167
root_mean_squared_error
0.429987
root_relative_squared_error
0.904918
scimark_benchmark
932.438034 [542.1947888913218, 1001.2756661255861, 441.1428994530376, 912.4399121942508, 1765.1369023070451]
total_cost
0
usercpu_time_millis
190
usercpu_time_millis_testing
40
usercpu_time_millis_training
150
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.883333 [0.883333,0.883333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.866667 [0.866667,0.866667]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.883333 [0.883333,0.883333]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.740741 [0.740741,0.740741]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.740741 [0.740741,0.740741]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.46 [0.46,0.46]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.71 [0.71,0.71]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.89 [0.89,0.89]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.57 [0.57,0.57]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.67 [0.67,0.67]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.925926 [0.925926,0.925926]
area_under_roc_curve
0.842593 [0.842593,0.842593]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.87037 [0.87037,0.87037]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.851852 [0.851852,0.851852]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.87 [0.87,0.87]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
average_cost
0
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0
average_cost
0
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0
average_cost
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0
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average_cost
0
average_cost
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average_cost
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average_cost
0
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
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f_measure
0.607143 [0.285714,0.8]
f_measure
0.708333 [0.5,0.833333]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.736364 [0.6,0.818182]
f_measure
0.655797 [0.444444,0.782609]
f_measure
0.655797 [0.444444,0.782609]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.75 [0.666667,0.8]
f_measure
0.607143 [0.285714,0.8]
f_measure
0.655797 [0.444444,0.782609]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.603571 [0.571429,0.625]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.733333 [0.6,0.8]
f_measure
0.72 [0.6,0.8]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.733333 [0.6,0.8]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.866667 [0.8,0.9]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.463768 [0,0.695652]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.533333 [0,0.8]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.733333 [0.6,0.8]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.866667 [0.8,0.9]
f_measure
0.5 [0,0.75]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.866667 [0.8,0.9]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.866667 [0.8,0.9]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.770186 [0.571429,0.869565]
f_measure
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f_measure
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f_measure
0.856061 [0.75,0.909091]
f_measure
0.673046 [0.545455,0.736842]
f_measure
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f_measure
0.866667 [0.8,0.9]
f_measure
0.712121 [0.5,0.818182]
f_measure
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f_measure
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f_measure
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f_measure
0.856061 [0.75,0.909091]
f_measure
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f_measure
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f_measure
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f_measure
0.931217 [0.888889,0.952381]
f_measure
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f_measure
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f_measure
0.931217 [0.888889,0.952381]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.796172 [0.727273,0.842105]
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
0.793651 [0.666667,0.857143]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.80181 [0.769231,0.823529]
f_measure
0.793651 [0.666667,0.857143]
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0.384615
kappa
0.142857
kappa
0.428571
kappa
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kappa
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kappa
0.142857
kappa
0.466667
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kappa
0.259259
kappa
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kappa
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0
kappa
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kappa
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kappa
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0.705882
kappa
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kappa
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kappa
0.594595
kappa
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2.049665
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4.562653
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2.857415
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1.69917
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2.651138
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1.345976
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2.038675
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3.258315
kb_relative_information_score
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2.032275
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4.702771
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3.894586
kb_relative_information_score
1.805178
kb_relative_information_score
2.684843
kb_relative_information_score
2.307892
kb_relative_information_score
0.531724
kb_relative_information_score
2.560612
kb_relative_information_score
5.13119
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3.548384
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1.99777
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2.377988
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5.464044
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2.895639
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4.325953
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5.304333
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1.202916
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3.332219
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0.840274
kb_relative_information_score
0.681256
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2.431094
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1.649982
kb_relative_information_score
6.70246
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3.740637
kb_relative_information_score
2.041369
kb_relative_information_score
1.697338
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2.341398
kb_relative_information_score
2.07201
kb_relative_information_score
4.410433
kb_relative_information_score
1.102793
kb_relative_information_score
5.90158
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3.361003
kb_relative_information_score
2.389562
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3.306589
kb_relative_information_score
1.534688
kb_relative_information_score
2.797814
kb_relative_information_score
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kb_relative_information_score
3.7583
kb_relative_information_score
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kb_relative_information_score
3.276123
kb_relative_information_score
5.626888
kb_relative_information_score
2.746403
kb_relative_information_score
2.212661
kb_relative_information_score
5.095385
kb_relative_information_score
1.123441
kb_relative_information_score
5.041122
kb_relative_information_score
1.658116
kb_relative_information_score
5.222321
kb_relative_information_score
5.085159
kb_relative_information_score
3.285973
kb_relative_information_score
1.916991
kb_relative_information_score
5.617982
kb_relative_information_score
4.619285
kb_relative_information_score
3.955161
kb_relative_information_score
3.971343
kb_relative_information_score
4.189944
kb_relative_information_score
-0.482865
kb_relative_information_score
2.290176
kb_relative_information_score
4.507376
kb_relative_information_score
2.371237
kb_relative_information_score
1.642972
kb_relative_information_score
1.398811
kb_relative_information_score
3.111313
kb_relative_information_score
5.130446
kb_relative_information_score
5.115851
kb_relative_information_score
2.113179
kb_relative_information_score
4.926541
kb_relative_information_score
5.924742
kb_relative_information_score
1.659069
kb_relative_information_score
4.979701
kb_relative_information_score
2.663129
kb_relative_information_score
5.739545
kb_relative_information_score
1.738145
kb_relative_information_score
4.149958
kb_relative_information_score
3.671659
kb_relative_information_score
4.966673
kb_relative_information_score
3.012504
kb_relative_information_score
4.60131
kb_relative_information_score
3.995121
kb_relative_information_score
5.119339
kb_relative_information_score
3.44274
kb_relative_information_score
3.721388
kb_relative_information_score
4.146386
mean_absolute_error
0.425996
mean_absolute_error
0.36402
mean_absolute_error
0.406476
mean_absolute_error
0.357938
mean_absolute_error
0.406011
mean_absolute_error
0.392
mean_absolute_error
0.402596
mean_absolute_error
0.347631
mean_absolute_error
0.387588
mean_absolute_error
0.415294
mean_absolute_error
0.371141
mean_absolute_error
0.400937
mean_absolute_error
0.385907
mean_absolute_error
0.355515
mean_absolute_error
0.454057
mean_absolute_error
0.40964
mean_absolute_error
0.327293
mean_absolute_error
0.375786
mean_absolute_error
0.399076
mean_absolute_error
0.398978
mean_absolute_error
0.37501
mean_absolute_error
0.427456
mean_absolute_error
0.373399
mean_absolute_error
0.312015
mean_absolute_error
0.350194
mean_absolute_error
0.355626
mean_absolute_error
0.382023
mean_absolute_error
0.398255
mean_absolute_error
0.384885
mean_absolute_error
0.309317
mean_absolute_error
0.370289
mean_absolute_error
0.333645
mean_absolute_error
0.310682
mean_absolute_error
0.40242
mean_absolute_error
0.354621
mean_absolute_error
0.409634
mean_absolute_error
0.419746
mean_absolute_error
0.376298
mean_absolute_error
0.404035
mean_absolute_error
0.276975
mean_absolute_error
0.351918
mean_absolute_error
0.385974
mean_absolute_error
0.397222
mean_absolute_error
0.37251
mean_absolute_error
0.386435
mean_absolute_error
0.330228
mean_absolute_error
0.405976
mean_absolute_error
0.294175
mean_absolute_error
0.354543
mean_absolute_error
0.382107
mean_absolute_error
0.362949
mean_absolute_error
0.393547
mean_absolute_error
0.371088
mean_absolute_error
0.352855
mean_absolute_error
0.342683
mean_absolute_error
0.345013
mean_absolute_error
0.359399
mean_absolute_error
0.298892
mean_absolute_error
0.362474
mean_absolute_error
0.386532
mean_absolute_error
0.31518
mean_absolute_error
0.405807
mean_absolute_error
0.315218
mean_absolute_error
0.391529
mean_absolute_error
0.310556
mean_absolute_error
0.321755
mean_absolute_error
0.351214
mean_absolute_error
0.391879
mean_absolute_error
0.298245
mean_absolute_error
0.324722
mean_absolute_error
0.334369
mean_absolute_error
0.342402
mean_absolute_error
0.341358
mean_absolute_error
0.459037
mean_absolute_error
0.384926
mean_absolute_error
0.333856
mean_absolute_error
0.379475
mean_absolute_error
0.396279
mean_absolute_error
0.3933
mean_absolute_error
0.367167
mean_absolute_error
0.313775
mean_absolute_error
0.316831
mean_absolute_error
0.385758
mean_absolute_error
0.318806
mean_absolute_error
0.30311
mean_absolute_error
0.393321
mean_absolute_error
0.322497
mean_absolute_error
0.373154
mean_absolute_error
0.300962
mean_absolute_error
0.391836
mean_absolute_error
0.364637
mean_absolute_error
0.377775
mean_absolute_error
0.344929
mean_absolute_error
0.393177
mean_absolute_error
0.358558
mean_absolute_error
0.341025
mean_absolute_error
0.334606
mean_absolute_error
0.352644
mean_absolute_error
0.369285
mean_absolute_error
0.335168
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
precision
0.791667 [1,0.666667]
precision
0.821429 [1,0.714286]
precision
0.604167 [0.5,0.666667]
precision
0.75 [0.75,0.75]
precision
0.682692 [0.666667,0.692308]
precision
0.682692 [0.666667,0.692308]
precision
0.604167 [0.5,0.666667]
precision
0.75 [0.666667,0.8]
precision
0.791667 [1,0.666667]
precision
0.682692 [0.666667,0.692308]
precision
0.722222 [0.666667,0.75]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.809524 [1,0.714286]
precision
0.555556 [0.333333,0.666667]
precision
0.628571 [0.5,0.714286]
precision
0.846154 [1,0.769231]
precision
0.85 [1,0.75]
precision
0.733333 [0.6,0.8]
precision
0.736364 [0.75,0.727273]
precision
0.722222 [0.666667,0.75]
precision
0.651515 [0.5,0.727273]
precision
0.809524 [1,0.714286]
precision
0.888889 [1,0.833333]
precision
0.888889 [1,0.833333]
precision
0.733333 [0.6,0.8]
precision
0.628205 [0.5,0.692308]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.8,0.9]
precision
0.809524 [1,0.714286]
precision
0.814815 [0.666667,0.888889]
precision
0.888889 [1,0.833333]
precision
0.651515 [0.5,0.727273]
precision
0.809524 [1,0.714286]
precision
0.410256 [0,0.615385]
precision
0.738095 [0.5,0.857143]
precision
0.809524 [1,0.714286]
precision
0.722222 [0.666667,0.75]
precision
0.888889 [1,0.833333]
precision
0.846154 [1,0.769231]
precision
0.628205 [0.5,0.692308]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.444444 [0,0.666667]
precision
0.795455 [0.75,0.818182]
precision
0.555556 [0.333333,0.666667]
precision
0.888889 [1,0.833333]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.733333 [0.6,0.8]
precision
0.628205 [0.5,0.692308]
precision
0.888889 [1,0.833333]
precision
0.722222 [0.666667,0.75]
precision
0.809524 [1,0.714286]
precision
0.809524 [1,0.714286]
precision
0.722222 [0.666667,0.75]
precision
0.795455 [0.75,0.818182]
precision
0.628205 [0.5,0.692308]
precision
0.77381 [0.571429,0.875]
precision
0.866667 [0.8,0.9]
precision
0.428571 [0,0.642857]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.8,0.9]
precision
0.939394 [1,0.909091]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.8,0.9]
precision
0.888889 [1,0.833333]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.888889 [1,0.833333]
precision
0.685185 [0.5,0.777778]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.8,0.9]
precision
0.722222 [0.666667,0.75]
precision
0.809524 [1,0.714286]
precision
0.428571 [0,0.642857]
precision
0.809524 [1,0.714286]
precision
0.888889 [1,0.833333]
precision
0.888889 [1,0.833333]
precision
0.651515 [0.5,0.727273]
precision
0.846154 [1,0.769231]
precision
0.939394 [1,0.909091]
precision
0.428571 [0,0.642857]
precision
0.888889 [1,0.833333]
precision
0.846154 [1,0.769231]
precision
0.939394 [1,0.909091]
precision
0.628205 [0.5,0.692308]
precision
0.8 [0.8,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.8,0.8]
precision
0.736364 [0.75,0.727273]
precision
0.890909 [1,0.818182]
precision
0.795455 [0.75,0.818182]
precision
0.85 [1,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.810714 [0.714286,0.875]
precision
0.795455 [0.75,0.818182]
predictive_accuracy
0.6875
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
recall
0.6875 [0.166667,1]
recall
0.75 [0.333333,1]
recall
0.625 [0.333333,0.8]
recall
0.75 [0.5,0.9]
recall
0.6875 [0.333333,0.9]
recall
0.6875 [0.333333,0.9]
recall
0.625 [0.333333,0.8]
recall
0.75 [0.666667,0.8]
recall
0.6875 [0.166667,1]
recall
0.6875 [0.333333,0.9]
recall
0.733333 [0.4,0.9]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.733333 [0.2,1]
recall
0.466667 [0.6,0.4]
recall
0.6 [0.666667,0.555556]
recall
0.8 [0.4,1]
recall
0.8 [0.5,1]
recall
0.733333 [0.6,0.8]
recall
0.733333 [0.5,0.888889]
recall
0.733333 [0.4,0.9]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.2,1]
recall
0.866667 [0.6,1]
recall
0.866667 [0.6,1]
recall
0.733333 [0.6,0.8]
recall
0.666667 [0.2,0.9]
recall
0.6 [0.2,0.8]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.8,0.9]
recall
0.733333 [0.2,1]
recall
0.8 [0.8,0.8]
recall
0.866667 [0.6,1]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.2,1]
recall
0.533333 [0,0.8]
recall
0.666667 [0.8,0.6]
recall
0.733333 [0.2,1]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.6,1]
recall
0.8 [0.4,1]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0,1]
recall
0.8 [0.6,0.9]
recall
0.6 [0.2,0.8]
recall
0.866667 [0.6,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.6,0.8]
recall
0.666667 [0.2,0.9]
recall
0.866667 [0.6,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.2,1]
recall
0.733333 [0.2,1]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.6,0.9]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.8,0.7]
recall
0.866667 [0.8,0.9]
recall
0.6 [0,0.9]
recall
0.8 [0.4,1]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.8,0.9]
recall
0.933333 [0.8,1]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.8,0.9]
recall
0.866667 [0.6,1]
recall
0.8 [0.4,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.6,1]
recall
0.666667 [0.6,0.7]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.8,0.9]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.2,1]
recall
0.6 [0,0.9]
recall
0.733333 [0.2,1]
recall
0.866667 [0.6,1]
recall
0.866667 [0.6,1]
recall
0.666667 [0.4,0.8]
recall
0.8 [0.4,1]
recall
0.933333 [0.8,1]
recall
0.6 [0,0.9]
recall
0.866667 [0.6,1]
recall
0.8 [0.4,1]
recall
0.933333 [0.8,1]
recall
0.666667 [0.2,0.9]
recall
0.8 [0.666667,0.888889]
recall
0.8 [0.666667,0.888889]
recall
0.8 [0.666667,0.888889]
recall
0.733333 [0.5,0.888889]
recall
0.866667 [0.666667,1]
recall
0.8 [0.6,0.9]
recall
0.8 [0.5,1]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.833333,0.777778]
recall
0.8 [0.6,0.9]
relative_absolute_error
0.922867
relative_absolute_error
0.788603
relative_absolute_error
0.880579
relative_absolute_error
0.775426
relative_absolute_error
0.87957
relative_absolute_error
0.849218
relative_absolute_error
0.872172
relative_absolute_error
0.753098
relative_absolute_error
0.839661
relative_absolute_error
0.89968
relative_absolute_error
0.82696
relative_absolute_error
0.89335
relative_absolute_error
0.85986
relative_absolute_error
0.792142
relative_absolute_error
1.011708
relative_absolute_error
0.872909
relative_absolute_error
0.72926
relative_absolute_error
0.800769
relative_absolute_error
0.889203
relative_absolute_error
0.85019
relative_absolute_error
0.835581
relative_absolute_error
0.952439
relative_absolute_error
0.831992
relative_absolute_error
0.695218
relative_absolute_error
0.780287
relative_absolute_error
0.792389
relative_absolute_error
0.851206
relative_absolute_error
0.887375
relative_absolute_error
0.857583
relative_absolute_error
0.689207
relative_absolute_error
0.82506
relative_absolute_error
0.743412
relative_absolute_error
0.692247
relative_absolute_error
0.896654
relative_absolute_error
0.790151
relative_absolute_error
0.912729
relative_absolute_error
0.935259
relative_absolute_error
0.83845
relative_absolute_error
0.900253
relative_absolute_error
0.617143
relative_absolute_error
0.784129
relative_absolute_error
0.86001
relative_absolute_error
0.885072
relative_absolute_error
0.830011
relative_absolute_error
0.861038
relative_absolute_error
0.735799
relative_absolute_error
0.904578
relative_absolute_error
0.655468
relative_absolute_error
0.789976
relative_absolute_error
0.851393
relative_absolute_error
0.808706
relative_absolute_error
0.876885
relative_absolute_error
0.826842
relative_absolute_error
0.786216
relative_absolute_error
0.763552
relative_absolute_error
0.768743
relative_absolute_error
0.800797
relative_absolute_error
0.665978
relative_absolute_error
0.807648
relative_absolute_error
0.861254
relative_absolute_error
0.70227
relative_absolute_error
0.904201
relative_absolute_error
0.702356
relative_absolute_error
0.872387
relative_absolute_error
0.691967
relative_absolute_error
0.71692
relative_absolute_error
0.782558
relative_absolute_error
0.873166
relative_absolute_error
0.664537
relative_absolute_error
0.723531
relative_absolute_error
0.745025
relative_absolute_error
0.762925
relative_absolute_error
0.7606
relative_absolute_error
1.022806
relative_absolute_error
0.857675
relative_absolute_error
0.743882
relative_absolute_error
0.845528
relative_absolute_error
0.882971
relative_absolute_error
0.876333
relative_absolute_error
0.818106
relative_absolute_error
0.699139
relative_absolute_error
0.705948
relative_absolute_error
0.859529
relative_absolute_error
0.71035
relative_absolute_error
0.675376
relative_absolute_error
0.87638
relative_absolute_error
0.718574
relative_absolute_error
0.831444
relative_absolute_error
0.670591
relative_absolute_error
0.873071
relative_absolute_error
0.777011
relative_absolute_error
0.805008
relative_absolute_error
0.735017
relative_absolute_error
0.837829
relative_absolute_error
0.764058
relative_absolute_error
0.759857
relative_absolute_error
0.713017
relative_absolute_error
0.785745
relative_absolute_error
0.786916
relative_absolute_error
0.746806
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_squared_error
0.499159
root_mean_squared_error
0.429805
root_mean_squared_error
0.48426
root_mean_squared_error
0.422032
root_mean_squared_error
0.47093
root_mean_squared_error
0.461155
root_mean_squared_error
0.472962
root_mean_squared_error
0.427954
root_mean_squared_error
0.456314
root_mean_squared_error
0.468195
root_mean_squared_error
0.442578
root_mean_squared_error
0.454497
root_mean_squared_error
0.461484
root_mean_squared_error
0.434906
root_mean_squared_error
0.512941
root_mean_squared_error
0.459875
root_mean_squared_error
0.384202
root_mean_squared_error
0.415964
root_mean_squared_error
0.456407
root_mean_squared_error
0.454713
root_mean_squared_error
0.440945
root_mean_squared_error
0.490646
root_mean_squared_error
0.443004
root_mean_squared_error
0.349066
root_mean_squared_error
0.398345
root_mean_squared_error
0.434941
root_mean_squared_error
0.478073
root_mean_squared_error
0.481207
root_mean_squared_error
0.438742
root_mean_squared_error
0.343871
root_mean_squared_error
0.426678
root_mean_squared_error
0.400652
root_mean_squared_error
0.348951
root_mean_squared_error
0.460416
root_mean_squared_error
0.438416
root_mean_squared_error
0.498875
root_mean_squared_error
0.497555
root_mean_squared_error
0.447934
root_mean_squared_error
0.468088
root_mean_squared_error
0.328891
root_mean_squared_error
0.398331
root_mean_squared_error
0.462523
root_mean_squared_error
0.469068
root_mean_squared_error
0.431508
root_mean_squared_error
0.46423
root_mean_squared_error
0.388207
root_mean_squared_error
0.46268
root_mean_squared_error
0.357184
root_mean_squared_error
0.424709
root_mean_squared_error
0.473489
root_mean_squared_error
0.420751
root_mean_squared_error
0.461785
root_mean_squared_error
0.420759
root_mean_squared_error
0.430218
root_mean_squared_error
0.401517
root_mean_squared_error
0.417098
root_mean_squared_error
0.438622
root_mean_squared_error
0.337883
root_mean_squared_error
0.451545
root_mean_squared_error
0.457331
root_mean_squared_error
0.370402
root_mean_squared_error
0.45955
root_mean_squared_error
0.366104
root_mean_squared_error
0.436887
root_mean_squared_error
0.375609
root_mean_squared_error
0.352212
root_mean_squared_error
0.422152
root_mean_squared_error
0.438495
root_mean_squared_error
0.359238
root_mean_squared_error
0.395346
root_mean_squared_error
0.415579
root_mean_squared_error
0.399198
root_mean_squared_error
0.384099
root_mean_squared_error
0.540363
root_mean_squared_error
0.444735
root_mean_squared_error
0.361684
root_mean_squared_error
0.435637
root_mean_squared_error
0.46794
root_mean_squared_error
0.477792
root_mean_squared_error
0.433196
root_mean_squared_error
0.381334
root_mean_squared_error
0.355967
root_mean_squared_error
0.468838
root_mean_squared_error
0.368835
root_mean_squared_error
0.337278
root_mean_squared_error
0.481016
root_mean_squared_error
0.366169
root_mean_squared_error
0.425039
root_mean_squared_error
0.333284
root_mean_squared_error
0.467475
root_mean_squared_error
0.398451
root_mean_squared_error
0.435153
root_mean_squared_error
0.423134
root_mean_squared_error
0.466485
root_mean_squared_error
0.394047
root_mean_squared_error
0.413379
root_mean_squared_error
0.397871
root_mean_squared_error
0.413204
root_mean_squared_error
0.424675
root_mean_squared_error
0.401028
root_relative_squared_error
1.029265
root_relative_squared_error
0.886257
root_relative_squared_error
0.998542
root_relative_squared_error
0.870228
root_relative_squared_error
0.971057
root_relative_squared_error
0.9509
root_relative_squared_error
0.975247
root_relative_squared_error
0.88244
root_relative_squared_error
0.940919
root_relative_squared_error
0.965418
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0.92222
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