458079
2
Joaquin Vanschoren
4523
Supervised Classification
predictive_accuracy
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
weka
weka_3.7.12
955
tae
https://www.openml.org/data/download/53489/tae.arff
-1
1608428
description
https://api.openml.org/data/download/1608428/weka_generated_run5830633482898308371.xml
-1
1608431
model_readable
https://api.openml.org/data/download/1608431/WekaModel_weka.classifiers.trees.RandomForest5648066609828995807.model
-1
1608430
model_serialized
https://api.openml.org/data/download/1608430/WekaSerialized_weka.classifiers.trees.RandomForest5819072382514880723.model
-1
1608429
predictions
https://api.openml.org/data/download/1608429/weka_generated_predictions6769819962139634745.arff
area_under_roc_curve
0.805986 [0.805986,0.805986]
average_cost
0
f_measure
0.77633 [0.679281,0.827305]
kappa
0.506655
kb_relative_information_score
531.238022
mean_absolute_error
0.296705
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
0.777366 [0.668529,0.834532]
predictive_accuracy
0.775497
prior_entropy
0.930817
recall
0.775497 [0.690385,0.820202]
relative_absolute_error
0.656147
root_mean_prior_squared_error
0.475167
root_mean_squared_error
0.408813
root_relative_squared_error
0.860357
scimark_benchmark
947.178104 [557.6216842393322, 1015.2555353338006, 484.5405689113658, 909.9062692880296, 1768.5664600912808]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.841667 [0.841667,0.841667]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.783333 [0.783333,0.783333]
area_under_roc_curve
0.816667 [0.816667,0.816667]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.933333 [0.933333,0.933333]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.685185 [0.685185,0.685185]
area_under_roc_curve
0.83 [0.83,0.83]
area_under_roc_curve
0.814815 [0.814815,0.814815]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.796296 [0.796296,0.796296]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.41 [0.41,0.41]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.79 [0.79,0.79]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.48 [0.48,0.48]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.87 [0.87,0.87]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.79 [0.79,0.79]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.77 [0.77,0.77]
area_under_roc_curve
0.67 [0.67,0.67]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.805556 [0.805556,0.805556]
area_under_roc_curve
0.731481 [0.731481,0.731481]
area_under_roc_curve
0.62037 [0.62037,0.62037]
area_under_roc_curve
0.740741 [0.740741,0.740741]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.907407 [0.907407,0.907407]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.740741 [0.740741,0.740741]
area_under_roc_curve
0.93 [0.93,0.93]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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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
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0
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0
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0
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0
average_cost
0
average_cost
0
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.936147 [0.909091,0.952381]
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.875 [0.833333,0.9]
f_measure
0.753968 [0.714286,0.777778]
f_measure
0.691296 [0.615385,0.736842]
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.876984 [0.857143,0.888889]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.75 [0.666667,0.8]
f_measure
0.87037 [0.833333,0.888889]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.603571 [0.571429,0.625]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.866667 [0.833333,0.888889]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.80181 [0.769231,0.823529]
f_measure
0.518519 [0.222222,0.666667]
f_measure
0.611111 [0.5,0.666667]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.866667 [0.8,0.9]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.733333 [0.6,0.8]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.866667 [0.8,0.9]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.607143 [0.571429,0.625]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.87037 [0.833333,0.888889]
f_measure
0.733333 [0.6,0.8]
f_measure
0.866667 [0.8,0.9]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.733333 [0.6,0.8]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.733333 [0.6,0.8]
f_measure
0.6 [0.4,0.7]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.607143 [0.571429,0.625]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.607143 [0.571429,0.625]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.87037 [0.833333,0.888889]
f_measure
0.80543 [0.769231,0.823529]
f_measure
0.866667 [0.8,0.9]
f_measure
0.866667 [0.8,0.9]
f_measure
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f_measure
0.87037 [0.833333,0.888889]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.542265 [0.363636,0.631579]
f_measure
0.87037 [0.833333,0.888889]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.80543 [0.769231,0.823529]
f_measure
0.733333 [0.6,0.8]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.733333 [0.6,0.8]
f_measure
0.856061 [0.75,0.909091]
f_measure
1 [1,1]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.607143 [0.571429,0.625]
f_measure
0.866667 [0.8,0.9]
f_measure
0.656085 [0.444444,0.761905]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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0.932057 [0.909091,0.947368]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.934609 [0.909091,0.947368]
kappa
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kappa
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kappa
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kappa
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kappa
0.354839
kappa
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kappa
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kappa
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kappa
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0.444444
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kappa
0.545455
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kappa
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kappa
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kappa
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kb_relative_information_score
3.241866
kb_relative_information_score
10.163352
kb_relative_information_score
3.48309
kb_relative_information_score
8.79425
kb_relative_information_score
5.291171
kb_relative_information_score
4.675199
kb_relative_information_score
4.018177
kb_relative_information_score
8.477724
kb_relative_information_score
7.800241
kb_relative_information_score
4.351374
kb_relative_information_score
6.834583
kb_relative_information_score
2.046654
kb_relative_information_score
3.033129
kb_relative_information_score
7.137942
kb_relative_information_score
3.335523
kb_relative_information_score
1.404476
kb_relative_information_score
5.189426
kb_relative_information_score
7.335234
kb_relative_information_score
2.024648
kb_relative_information_score
5.178078
kb_relative_information_score
1.706133
kb_relative_information_score
1.596995
kb_relative_information_score
6.212233
kb_relative_information_score
6.369223
kb_relative_information_score
6.867246
kb_relative_information_score
5.765763
kb_relative_information_score
3.666265
kb_relative_information_score
5.387653
kb_relative_information_score
6.294501
kb_relative_information_score
10.108429
kb_relative_information_score
4.71018
kb_relative_information_score
5.48629
kb_relative_information_score
9.45036
kb_relative_information_score
2.697472
kb_relative_information_score
5.595903
kb_relative_information_score
3.288493
kb_relative_information_score
1.652449
kb_relative_information_score
7.581626
kb_relative_information_score
2.683852
kb_relative_information_score
9.126225
kb_relative_information_score
4.471231
kb_relative_information_score
7.034621
kb_relative_information_score
0.653008
kb_relative_information_score
5.171068
kb_relative_information_score
4.292076
kb_relative_information_score
6.987946
kb_relative_information_score
5.591956
kb_relative_information_score
7.26847
kb_relative_information_score
7.424982
kb_relative_information_score
2.472379
kb_relative_information_score
3.508657
kb_relative_information_score
3.337854
kb_relative_information_score
5.313351
kb_relative_information_score
6.799203
kb_relative_information_score
6.24563
kb_relative_information_score
4.99487
kb_relative_information_score
4.3438
kb_relative_information_score
3.770332
kb_relative_information_score
6.313052
kb_relative_information_score
1.557189
kb_relative_information_score
7.816159
kb_relative_information_score
4.513703
kb_relative_information_score
8.787053
kb_relative_information_score
0.585718
kb_relative_information_score
6.506343
kb_relative_information_score
3.801225
kb_relative_information_score
7.763504
kb_relative_information_score
2.886399
kb_relative_information_score
7.550146
kb_relative_information_score
7.900638
kb_relative_information_score
8.584211
kb_relative_information_score
7.026969
kb_relative_information_score
5.621361
kb_relative_information_score
-0.803014
kb_relative_information_score
4.902908
kb_relative_information_score
5.510823
kb_relative_information_score
5.868622
kb_relative_information_score
3.607152
kb_relative_information_score
3.291602
kb_relative_information_score
4.485254
kb_relative_information_score
7.138223
kb_relative_information_score
11.152816
kb_relative_information_score
6.155615
kb_relative_information_score
6.899053
kb_relative_information_score
6.586782
kb_relative_information_score
8.442784
kb_relative_information_score
7.029812
kb_relative_information_score
1.416099
kb_relative_information_score
7.571213
kb_relative_information_score
3.671434
kb_relative_information_score
5.245118
kb_relative_information_score
4.20225
kb_relative_information_score
5.360929
kb_relative_information_score
2.247347
kb_relative_information_score
4.287543
kb_relative_information_score
4.377551
kb_relative_information_score
8.675011
kb_relative_information_score
4.961187
kb_relative_information_score
3.397285
kb_relative_information_score
8.598092
mean_absolute_error
0.36619
mean_absolute_error
0.202729
mean_absolute_error
0.350906
mean_absolute_error
0.230333
mean_absolute_error
0.315646
mean_absolute_error
0.324656
mean_absolute_error
0.348874
mean_absolute_error
0.242858
mean_absolute_error
0.254426
mean_absolute_error
0.347313
mean_absolute_error
0.255578
mean_absolute_error
0.386052
mean_absolute_error
0.349179
mean_absolute_error
0.2445
mean_absolute_error
0.341833
mean_absolute_error
0.419898
mean_absolute_error
0.294072
mean_absolute_error
0.27211
mean_absolute_error
0.387778
mean_absolute_error
0.325011
mean_absolute_error
0.367984
mean_absolute_error
0.38657
mean_absolute_error
0.265778
mean_absolute_error
0.26849
mean_absolute_error
0.256311
mean_absolute_error
0.268944
mean_absolute_error
0.342239
mean_absolute_error
0.289333
mean_absolute_error
0.270722
mean_absolute_error
0.161444
mean_absolute_error
0.309733
mean_absolute_error
0.278478
mean_absolute_error
0.174352
mean_absolute_error
0.360811
mean_absolute_error
0.288922
mean_absolute_error
0.336333
mean_absolute_error
0.385081
mean_absolute_error
0.233089
mean_absolute_error
0.361667
mean_absolute_error
0.189998
mean_absolute_error
0.316611
mean_absolute_error
0.236444
mean_absolute_error
0.418733
mean_absolute_error
0.291844
mean_absolute_error
0.317222
mean_absolute_error
0.25447
mean_absolute_error
0.270167
mean_absolute_error
0.235301
mean_absolute_error
0.233056
mean_absolute_error
0.381952
mean_absolute_error
0.347944
mean_absolute_error
0.346389
mean_absolute_error
0.302433
mean_absolute_error
0.245933
mean_absolute_error
0.272231
mean_absolute_error
0.289822
mean_absolute_error
0.315333
mean_absolute_error
0.318311
mean_absolute_error
0.261537
mean_absolute_error
0.386122
mean_absolute_error
0.225522
mean_absolute_error
0.318711
mean_absolute_error
0.189465
mean_absolute_error
0.412878
mean_absolute_error
0.251556
mean_absolute_error
0.325535
mean_absolute_error
0.229833
mean_absolute_error
0.358278
mean_absolute_error
0.227676
mean_absolute_error
0.223855
mean_absolute_error
0.195556
mean_absolute_error
0.245623
mean_absolute_error
0.286056
mean_absolute_error
0.455333
mean_absolute_error
0.320167
mean_absolute_error
0.289851
mean_absolute_error
0.286667
mean_absolute_error
0.337
mean_absolute_error
0.343405
mean_absolute_error
0.311822
mean_absolute_error
0.247006
mean_absolute_error
0.1397
mean_absolute_error
0.274667
mean_absolute_error
0.263322
mean_absolute_error
0.250127
mean_absolute_error
0.206
mean_absolute_error
0.241194
mean_absolute_error
0.385363
mean_absolute_error
0.232
mean_absolute_error
0.329198
mean_absolute_error
0.322219
mean_absolute_error
0.352556
mean_absolute_error
0.320716
mean_absolute_error
0.400967
mean_absolute_error
0.353233
mean_absolute_error
0.322794
mean_absolute_error
0.229702
mean_absolute_error
0.299333
mean_absolute_error
0.361032
mean_absolute_error
0.205333
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
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
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0.448802
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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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]
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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
0.679545 [0.6,0.727273]
precision
0.943182 [1,0.909091]
precision
0.679545 [0.6,0.727273]
precision
0.875 [0.833333,0.9]
precision
0.78125 [0.625,0.875]
precision
0.700397 [0.571429,0.777778]
precision
0.679545 [0.6,0.727273]
precision
0.90625 [0.75,1]
precision
0.811364 [0.8,0.818182]
precision
0.75 [0.666667,0.8]
precision
0.904762 [0.714286,1]
precision
0.685185 [0.5,0.777778]
precision
0.685185 [0.5,0.777778]
precision
0.888889 [1,0.833333]
precision
0.833333 [0.5,1]
precision
0.628571 [0.5,0.714286]
precision
0.722222 [0.666667,0.75]
precision
0.866667 [0.833333,0.888889]
precision
0.738095 [0.5,0.857143]
precision
0.810714 [0.714286,0.875]
precision
0.507576 [0.25,0.636364]
precision
0.642857 [0.428571,0.75]
precision
0.795455 [0.75,0.818182]
precision
0.866667 [0.8,0.9]
precision
0.944444 [0.833333,1]
precision
0.77381 [0.571429,0.875]
precision
0.722222 [0.666667,0.75]
precision
0.814815 [0.666667,0.888889]
precision
0.814815 [0.666667,0.888889]
precision
0.939394 [1,0.909091]
precision
0.722222 [0.666667,0.75]
precision
0.77381 [0.571429,0.875]
precision
0.944444 [0.833333,1]
precision
0.738095 [0.5,0.857143]
precision
0.795455 [0.75,0.818182]
precision
0.651515 [0.5,0.727273]
precision
0.738095 [0.5,0.857143]
precision
0.888889 [1,0.833333]
precision
0.733333 [0.6,0.8]
precision
0.939394 [1,0.909091]
precision
0.866667 [0.8,0.9]
precision
0.795455 [0.75,0.818182]
precision
0.703704 [0.444444,0.833333]
precision
0.795455 [0.75,0.818182]
precision
0.722222 [0.666667,0.75]
precision
0.904762 [0.714286,1]
precision
0.733333 [0.6,0.8]
precision
0.866667 [0.8,0.9]
precision
0.795455 [0.75,0.818182]
precision
0.722222 [0.666667,0.75]
precision
0.814815 [0.666667,0.888889]
precision
0.733333 [0.6,0.8]
precision
0.888889 [1,0.833333]
precision
0.814815 [0.666667,0.888889]
precision
0.795455 [0.75,0.818182]
precision
0.722222 [0.666667,0.75]
precision
0.733333 [0.6,0.8]
precision
0.6 [0.4,0.7]
precision
0.795455 [0.75,0.818182]
precision
0.703704 [0.444444,0.833333]
precision
0.944444 [0.833333,1]
precision
0.722222 [0.666667,0.75]
precision
0.846154 [1,0.769231]
precision
0.703704 [0.444444,0.833333]
precision
0.795455 [0.75,0.818182]
precision
0.651515 [0.5,0.727273]
precision
0.904762 [0.714286,1]
precision
0.875 [0.625,1]
precision
0.866667 [0.8,0.9]
precision
0.866667 [0.8,0.9]
precision
0.866667 [0.8,0.9]
precision
0.904762 [0.714286,1]
precision
0.814815 [0.666667,0.888889]
precision
0.555556 [0.333333,0.666667]
precision
0.904762 [0.714286,1]
precision
0.814815 [0.666667,0.888889]
precision
0.875 [0.625,1]
precision
0.733333 [0.6,0.8]
precision
0.722222 [0.666667,0.75]
precision
0.733333 [0.6,0.8]
precision
0.888889 [1,0.833333]
precision
1 [1,1]
precision
0.814815 [0.666667,0.888889]
precision
0.939394 [1,0.909091]
precision
0.795455 [0.75,0.818182]
precision
0.939394 [1,0.909091]
precision
0.722222 [0.666667,0.75]
precision
0.703704 [0.444444,0.833333]
precision
0.866667 [0.8,0.9]
precision
0.651515 [0.5,0.727273]
precision
0.764286 [0.625,0.857143]
precision
0.66 [0.6,0.7]
precision
0.733333 [0.666667,0.777778]
precision
0.666667 [0.666667,0.666667]
precision
0.85 [1,0.75]
precision
0.866667 [0.8,0.9]
precision
0.94 [1,0.9]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.555556,0.833333]
precision
0.944444 [0.833333,1]
predictive_accuracy
0.6875
predictive_accuracy
0.9375
predictive_accuracy
0.6875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.875
predictive_accuracy
0.8125
predictive_accuracy
0.75
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
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0.8
predictive_accuracy
0.933333
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predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.733333
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0.933333
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
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
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.533333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.933333
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 [0.5,0.8]
recall
0.9375 [0.833333,1]
recall
0.6875 [0.5,0.8]
recall
0.875 [0.833333,0.9]
recall
0.75 [0.833333,0.7]
recall
0.6875 [0.666667,0.7]
recall
0.6875 [0.5,0.8]
recall
0.875 [1,0.8]
recall
0.8125 [0.666667,0.9]
recall
0.75 [0.666667,0.8]
recall
0.866667 [1,0.8]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.6,0.7]
recall
0.866667 [0.6,1]
recall
0.666667 [1,0.5]
recall
0.6 [0.666667,0.555556]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.833333,0.888889]
recall
0.666667 [0.8,0.6]
recall
0.8 [0.833333,0.777778]
recall
0.533333 [0.2,0.7]
recall
0.6 [0.6,0.6]
recall
0.8 [0.6,0.9]
recall
0.866667 [0.8,0.9]
recall
0.933333 [1,0.9]
recall
0.733333 [0.8,0.7]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.8,0.8]
recall
0.8 [0.8,0.8]
recall
0.933333 [0.8,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.8,0.7]
recall
0.933333 [1,0.9]
recall
0.666667 [0.8,0.6]
recall
0.8 [0.6,0.9]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.8,0.6]
recall
0.866667 [0.6,1]
recall
0.733333 [0.6,0.8]
recall
0.933333 [0.8,1]
recall
0.866667 [0.8,0.9]
recall
0.8 [0.6,0.9]
recall
0.6 [0.8,0.5]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.4,0.9]
recall
0.866667 [1,0.8]
recall
0.733333 [0.6,0.8]
recall
0.866667 [0.8,0.9]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.8,0.8]
recall
0.733333 [0.6,0.8]
recall
0.866667 [0.6,1]
recall
0.8 [0.8,0.8]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.6,0.8]
recall
0.6 [0.4,0.7]
recall
0.8 [0.6,0.9]
recall
0.6 [0.8,0.5]
recall
0.933333 [1,0.9]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.4,1]
recall
0.6 [0.8,0.5]
recall
0.8 [0.6,0.9]
recall
0.666667 [0.4,0.8]
recall
0.866667 [1,0.8]
recall
0.8 [1,0.7]
recall
0.866667 [0.8,0.9]
recall
0.866667 [0.8,0.9]
recall
0.866667 [0.8,0.9]
recall
0.866667 [1,0.8]
recall
0.8 [0.8,0.8]
recall
0.533333 [0.4,0.6]
recall
0.866667 [1,0.8]
recall
0.8 [0.8,0.8]
recall
0.8 [1,0.7]
recall
0.733333 [0.6,0.8]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.6,0.8]
recall
0.866667 [0.6,1]
recall
1 [1,1]
recall
0.8 [0.8,0.8]
recall
0.933333 [0.8,1]
recall
0.8 [0.6,0.9]
recall
0.933333 [0.8,1]
recall
0.733333 [0.4,0.9]
recall
0.6 [0.8,0.5]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.833333,0.666667]
recall
0.666667 [0.5,0.777778]
recall
0.733333 [0.666667,0.777778]
recall
0.666667 [0.333333,0.888889]
recall
0.8 [0.5,1]
recall
0.866667 [0.8,0.9]
recall
0.933333 [0.833333,1]
recall
0.8 [0.4,1]
recall
0.666667 [0.833333,0.555556]
recall
0.933333 [1,0.9]
relative_absolute_error
0.793305
relative_absolute_error
0.439187
relative_absolute_error
0.760193
relative_absolute_error
0.498988
relative_absolute_error
0.683806
relative_absolute_error
0.703326
relative_absolute_error
0.75579
relative_absolute_error
0.52612
relative_absolute_error
0.55118
relative_absolute_error
0.752408
relative_absolute_error
0.569467
relative_absolute_error
0.860185
relative_absolute_error
0.778024
relative_absolute_error
0.544784
relative_absolute_error
0.761658
relative_absolute_error
0.89477
relative_absolute_error
0.655239
relative_absolute_error
0.579845
relative_absolute_error
0.864029
relative_absolute_error
0.692572
relative_absolute_error
0.819926
relative_absolute_error
0.861338
relative_absolute_error
0.592194
relative_absolute_error
0.598238
relative_absolute_error
0.571101
relative_absolute_error
0.59925
relative_absolute_error
0.762561
relative_absolute_error
0.64468
relative_absolute_error
0.603211
relative_absolute_error
0.359723
relative_absolute_error
0.690134
relative_absolute_error
0.620492
relative_absolute_error
0.388483
relative_absolute_error
0.803942
relative_absolute_error
0.643764
relative_absolute_error
0.749403
relative_absolute_error
0.858021
relative_absolute_error
0.519358
relative_absolute_error
0.80585
relative_absolute_error
0.423346
relative_absolute_error
0.705459
relative_absolute_error
0.526835
relative_absolute_error
0.933003
relative_absolute_error
0.650275
relative_absolute_error
0.70682
relative_absolute_error
0.566998
relative_absolute_error
0.601973
relative_absolute_error
0.524287
relative_absolute_error
0.519284
relative_absolute_error
0.851049
relative_absolute_error
0.775274
relative_absolute_error
0.771808
relative_absolute_error
0.673868
relative_absolute_error
0.547978
relative_absolute_error
0.606573
relative_absolute_error
0.645769
relative_absolute_error
0.702612
relative_absolute_error
0.709247
relative_absolute_error
0.582746
relative_absolute_error
0.86034
relative_absolute_error
0.502498
relative_absolute_error
0.710138
relative_absolute_error
0.422156
relative_absolute_error
0.919956
relative_absolute_error
0.560505
relative_absolute_error
0.725342
relative_absolute_error
0.512104
relative_absolute_error
0.798299
relative_absolute_error
0.507298
relative_absolute_error
0.498784
relative_absolute_error
0.435728
relative_absolute_error
0.547286
relative_absolute_error
0.637376
relative_absolute_error
1.014553
relative_absolute_error
0.713381
relative_absolute_error
0.645832
relative_absolute_error
0.638738
relative_absolute_error
0.750888
relative_absolute_error
0.765159
relative_absolute_error
0.694788
relative_absolute_error
0.550368
relative_absolute_error
0.311273
relative_absolute_error
0.612
relative_absolute_error
0.586723
relative_absolute_error
0.557322
relative_absolute_error
0.459
relative_absolute_error
0.537418
relative_absolute_error
0.858648
relative_absolute_error
0.516932
relative_absolute_error
0.733505
relative_absolute_error
0.686623
relative_absolute_error
0.751268
relative_absolute_error
0.68342
relative_absolute_error
0.854428
relative_absolute_error
0.752712
relative_absolute_error
0.719236
relative_absolute_error
0.489476
relative_absolute_error
0.666961
relative_absolute_error
0.769329
relative_absolute_error
0.457515
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
0.469654
root_mean_squared_error
0.308451
root_mean_squared_error
0.456824
root_mean_squared_error
0.33259
root_mean_squared_error
0.415318
root_mean_squared_error
0.458474
root_mean_squared_error
0.468322
root_mean_squared_error
0.374927
root_mean_squared_error
0.32947
root_mean_squared_error
0.440503
root_mean_squared_error
0.363688
root_mean_squared_error
0.464507
root_mean_squared_error
0.444468
root_mean_squared_error
0.358878
root_mean_squared_error
0.442482
root_mean_squared_error
0.520891
root_mean_squared_error
0.391968
root_mean_squared_error
0.381643
root_mean_squared_error
0.494126
root_mean_squared_error
0.428102
root_mean_squared_error
0.483479
root_mean_squared_error
0.50334
root_mean_squared_error
0.371368
root_mean_squared_error
0.340482
root_mean_squared_error
0.328269
root_mean_squared_error
0.411019
root_mean_squared_error
0.492636
root_mean_squared_error
0.384469
root_mean_squared_error
0.372332
root_mean_squared_error
0.226986
root_mean_squared_error
0.438515
root_mean_squared_error
0.411743
root_mean_squared_error
0.25918
root_mean_squared_error
0.480158
root_mean_squared_error
0.408431
root_mean_squared_error
0.473366
root_mean_squared_error
0.489851
root_mean_squared_error
0.36567
root_mean_squared_error
0.48012
root_mean_squared_error
0.315082
root_mean_squared_error
0.419186
root_mean_squared_error
0.386113
root_mean_squared_error
0.562624
root_mean_squared_error
0.427526
root_mean_squared_error
0.420481
root_mean_squared_error
0.323563
root_mean_squared_error
0.420574
root_mean_squared_error
0.336249
root_mean_squared_error
0.313188
root_mean_squared_error
0.505612
root_mean_squared_error
0.439279
root_mean_squared_error
0.438416
root_mean_squared_error
0.392702
root_mean_squared_error
0.351258
root_mean_squared_error
0.3911
root_mean_squared_error
0.432722
root_mean_squared_error
0.460948
root_mean_squared_error
0.431162
root_mean_squared_error
0.393454
root_mean_squared_error
0.501144
root_mean_squared_error
0.323029
root_mean_squared_error
0.416755
root_mean_squared_error
0.288418
root_mean_squared_error
0.491516
root_mean_squared_error
0.376297
root_mean_squared_error
0.427732
root_mean_squared_error
0.308019
root_mean_squared_error
0.437053
root_mean_squared_error
0.337152
root_mean_squared_error
0.318307
root_mean_squared_error
0.353224
root_mean_squared_error
0.357593
root_mean_squared_error
0.372732
root_mean_squared_error
0.547558
root_mean_squared_error
0.405331
root_mean_squared_error
0.358607
root_mean_squared_error
0.355321
root_mean_squared_error
0.435984
root_mean_squared_error
0.450292
root_mean_squared_error
0.413963
root_mean_squared_error
0.396389
root_mean_squared_error
0.169151
root_mean_squared_error
0.39287
root_mean_squared_error
0.318722
root_mean_squared_error
0.399145
root_mean_squared_error
0.322459
root_mean_squared_error
0.331694
root_mean_squared_error
0.487847
root_mean_squared_error
0.315087
root_mean_squared_error
0.460379
root_mean_squared_error
0.397333
root_mean_squared_error
0.437928
root_mean_squared_error
0.449981
root_mean_squared_error
0.533047
root_mean_squared_error
0.426998
root_mean_squared_error
0.420576
root_mean_squared_error
0.334295
root_mean_squared_error
0.398291
root_mean_squared_error
0.481278
root_mean_squared_error
0.300511
root_relative_squared_error
0.968424
root_relative_squared_error
0.636025
root_relative_squared_error
0.94197
root_relative_squared_error
0.6858
root_relative_squared_error
0.856384
root_relative_squared_error
0.945373
root_relative_squared_error
0.965678
root_relative_squared_error
0.773098
root_relative_squared_error
0.679367
root_relative_squared_error
0.908316
root_relative_squared_error
0.771203
root_relative_squared_error
0.98499
root_relative_squared_error
0.942497
root_relative_squared_error
0.761004
root_relative_squared_error
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