383797
2
Joaquin Vanschoren
4432
Supervised Classification
predictive_accuracy
1117
weka.RBFClassifier(3)
1885
weka.classifiers.functions.RBFClassifier -- -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1
N
2
1117
R
0.01
1117
L
1.0E-6
1117
C
2
1117
P
1
1117
E
1
1117
S
1
1117
weka
weka_3.7.12
863
fri_c4_250_10
https://www.openml.org/data/download/53397/fri_c4_250_10.arff
-1
1337637
description
https://api.openml.org/data/download/1337637/weka_generated_run8021945288008601246.xml
-1
1337640
model_readable
https://api.openml.org/data/download/1337640/WekaModel_weka.classifiers.functions.RBFClassifier3104909008185662829.model
-1
1337639
model_serialized
https://api.openml.org/data/download/1337639/WekaSerialized_weka.classifiers.functions.RBFClassifier1236034156333395589.model
-1
1337638
predictions
https://api.openml.org/data/download/1337638/weka_generated_predictions3689176966445264598.arff
area_under_roc_curve
0.664853 [0.664853,0.664853]
average_cost
0
f_measure
0.631459 [0.588974,0.668834]
kappa
0.259232
kb_relative_information_score
294.820045
mean_absolute_error
0.448443
mean_prior_absolute_error
0.497968
number_of_instances
2500 [1170,1330]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.632142 [0.619227,0.643502]
predictive_accuracy
0.6332
prior_entropy
0.99709
recall
0.6332 [0.561538,0.696241]
relative_absolute_error
0.900546
root_mean_prior_squared_error
0.498975
root_mean_squared_error
0.47841
root_relative_squared_error
0.958786
scimark_benchmark
944.534082 [556.3766013735313, 1013.6533323510344, 483.0147548568529, 912.4399879139286, 1757.1857345400422]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.597403 [0.597403,0.597403]
area_under_roc_curve
0.792208 [0.792208,0.792208]
area_under_roc_curve
0.675325 [0.675325,0.675325]
area_under_roc_curve
0.597403 [0.597403,0.597403]
area_under_roc_curve
0.642857 [0.642857,0.642857]
area_under_roc_curve
0.679487 [0.679487,0.679487]
area_under_roc_curve
0.711538 [0.711538,0.711538]
area_under_roc_curve
0.636364 [0.636364,0.636364]
area_under_roc_curve
0.647436 [0.647436,0.647436]
area_under_roc_curve
0.794872 [0.794872,0.794872]
area_under_roc_curve
0.675325 [0.675325,0.675325]
area_under_roc_curve
0.662338 [0.662338,0.662338]
area_under_roc_curve
0.681818 [0.681818,0.681818]
area_under_roc_curve
0.493506 [0.493506,0.493506]
area_under_roc_curve
0.792208 [0.792208,0.792208]
area_under_roc_curve
0.75641 [0.75641,0.75641]
area_under_roc_curve
0.596154 [0.596154,0.596154]
area_under_roc_curve
0.532468 [0.532468,0.532468]
area_under_roc_curve
0.685897 [0.685897,0.685897]
area_under_roc_curve
0.576923 [0.576923,0.576923]
area_under_roc_curve
0.61039 [0.61039,0.61039]
area_under_roc_curve
0.649351 [0.649351,0.649351]
area_under_roc_curve
0.649351 [0.649351,0.649351]
area_under_roc_curve
0.681818 [0.681818,0.681818]
area_under_roc_curve
0.649351 [0.649351,0.649351]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.642857 [0.642857,0.642857]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.570513 [0.570513,0.570513]
area_under_roc_curve
0.487179 [0.487179,0.487179]
area_under_roc_curve
0.621795 [0.621795,0.621795]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.608974 [0.608974,0.608974]
area_under_roc_curve
0.647436 [0.647436,0.647436]
area_under_roc_curve
0.628205 [0.628205,0.628205]
area_under_roc_curve
0.698718 [0.698718,0.698718]
area_under_roc_curve
0.692308 [0.692308,0.692308]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.814103 [0.814103,0.814103]
area_under_roc_curve
0.724359 [0.724359,0.724359]
area_under_roc_curve
0.711538 [0.711538,0.711538]
area_under_roc_curve
0.653846 [0.653846,0.653846]
area_under_roc_curve
0.685897 [0.685897,0.685897]
area_under_roc_curve
0.557692 [0.557692,0.557692]
area_under_roc_curve
0.910256 [0.910256,0.910256]
area_under_roc_curve
0.49359 [0.49359,0.49359]
area_under_roc_curve
0.75641 [0.75641,0.75641]
area_under_roc_curve
0.621795 [0.621795,0.621795]
area_under_roc_curve
0.74359 [0.74359,0.74359]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.50641 [0.50641,0.50641]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.74359 [0.74359,0.74359]
area_under_roc_curve
0.621795 [0.621795,0.621795]
area_under_roc_curve
0.891026 [0.891026,0.891026]
area_under_roc_curve
0.673077 [0.673077,0.673077]
area_under_roc_curve
0.576923 [0.576923,0.576923]
area_under_roc_curve
0.615385 [0.615385,0.615385]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.730769 [0.730769,0.730769]
area_under_roc_curve
0.788462 [0.788462,0.788462]
area_under_roc_curve
0.820513 [0.820513,0.820513]
area_under_roc_curve
0.480769 [0.480769,0.480769]
area_under_roc_curve
0.621795 [0.621795,0.621795]
area_under_roc_curve
0.608974 [0.608974,0.608974]
area_under_roc_curve
0.634615 [0.634615,0.634615]
area_under_roc_curve
0.685897 [0.685897,0.685897]
area_under_roc_curve
0.692308 [0.692308,0.692308]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.685897 [0.685897,0.685897]
area_under_roc_curve
0.641026 [0.641026,0.641026]
area_under_roc_curve
0.519231 [0.519231,0.519231]
area_under_roc_curve
0.596154 [0.596154,0.596154]
area_under_roc_curve
0.762821 [0.762821,0.762821]
area_under_roc_curve
0.461039 [0.461039,0.461039]
area_under_roc_curve
0.733766 [0.733766,0.733766]
area_under_roc_curve
0.737179 [0.737179,0.737179]
area_under_roc_curve
0.798701 [0.798701,0.798701]
area_under_roc_curve
0.792208 [0.792208,0.792208]
area_under_roc_curve
0.730769 [0.730769,0.730769]
area_under_roc_curve
0.820513 [0.820513,0.820513]
area_under_roc_curve
0.75641 [0.75641,0.75641]
area_under_roc_curve
0.846154 [0.846154,0.846154]
area_under_roc_curve
0.621795 [0.621795,0.621795]
area_under_roc_curve
0.636364 [0.636364,0.636364]
area_under_roc_curve
0.649351 [0.649351,0.649351]
area_under_roc_curve
0.679487 [0.679487,0.679487]
area_under_roc_curve
0.694805 [0.694805,0.694805]
area_under_roc_curve
0.584416 [0.584416,0.584416]
area_under_roc_curve
0.75641 [0.75641,0.75641]
area_under_roc_curve
0.737179 [0.737179,0.737179]
area_under_roc_curve
0.762821 [0.762821,0.762821]
area_under_roc_curve
0.775641 [0.775641,0.775641]
area_under_roc_curve
0.717949 [0.717949,0.717949]
area_under_roc_curve
0.603896 [0.603896,0.603896]
area_under_roc_curve
0.792208 [0.792208,0.792208]
area_under_roc_curve
0.884615 [0.884615,0.884615]
area_under_roc_curve
0.662338 [0.662338,0.662338]
area_under_roc_curve
0.707792 [0.707792,0.707792]
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
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
average_cost
0
f_measure
0.6 [0.545455,0.642857]
f_measure
0.718161 [0.666667,0.758621]
f_measure
0.681026 [0.666667,0.692308]
f_measure
0.481675 [0.434783,0.518519]
f_measure
0.628998 [0.526316,0.709677]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.68 [0.666667,0.692308]
f_measure
0.593333 [0.5,0.666667]
f_measure
0.592208 [0.642857,0.545455]
f_measure
0.759231 [0.769231,0.75]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.681026 [0.666667,0.692308]
f_measure
0.516923 [0.538462,0.5]
f_measure
0.64 [0.64,0.64]
f_measure
0.598718 [0.615385,0.583333]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.55711 [0.47619,0.62069]
f_measure
0.656667 [0.555556,0.75]
f_measure
0.558583 [0.521739,0.592593]
f_measure
0.593333 [0.5,0.666667]
f_measure
0.597436 [0.615385,0.583333]
f_measure
0.64 [0.64,0.64]
f_measure
0.601282 [0.583333,0.615385]
f_measure
0.748333 [0.666667,0.8125]
f_measure
0.570833 [0.444444,0.6875]
f_measure
0.719098 [0.695652,0.740741]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.52 [0.5,0.538462]
f_measure
0.52 [0.5,0.538462]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.621664 [0.526316,0.709677]
f_measure
0.596104 [0.545455,0.642857]
f_measure
0.621664 [0.526316,0.709677]
f_measure
0.6 [0.583333,0.615385]
f_measure
0.676883 [0.636364,0.714286]
f_measure
0.669333 [0.6,0.733333]
f_measure
0.68 [0.666667,0.692308]
f_measure
0.757662 [0.727273,0.785714]
f_measure
0.678974 [0.692308,0.666667]
f_measure
0.68 [0.666667,0.692308]
f_measure
0.64 [0.64,0.64]
f_measure
0.64 [0.64,0.64]
f_measure
0.636522 [0.666667,0.608696]
f_measure
0.839487 [0.846154,0.833333]
f_measure
0.48 [0.48,0.48]
f_measure
0.676883 [0.636364,0.714286]
f_measure
0.586667 [0.5,0.666667]
f_measure
0.6 [0.583333,0.615385]
f_measure
0.55133 [0.47619,0.62069]
f_measure
0.453514 [0.315789,0.580645]
f_measure
0.638841 [0.608696,0.666667]
f_measure
0.76 [0.75,0.769231]
f_measure
0.6 [0.583333,0.615385]
f_measure
0.84 [0.833333,0.846154]
f_measure
0.596104 [0.545455,0.642857]
f_measure
0.55133 [0.47619,0.62069]
f_measure
0.632906 [0.571429,0.689655]
f_measure
0.632906 [0.571429,0.689655]
f_measure
0.676883 [0.636364,0.714286]
f_measure
0.719098 [0.695652,0.740741]
f_measure
0.72 [0.72,0.72]
f_measure
0.469754 [0.380952,0.551724]
f_measure
0.676883 [0.636364,0.714286]
f_measure
0.515325 [0.454545,0.571429]
f_measure
0.621664 [0.526316,0.709677]
f_measure
0.570833 [0.444444,0.6875]
f_measure
0.669333 [0.6,0.733333]
f_measure
0.558583 [0.521739,0.592593]
f_measure
0.518462 [0.538462,0.5]
f_measure
0.537589 [0.421053,0.645161]
f_measure
0.478325 [0.434783,0.518519]
f_measure
0.547059 [0.375,0.705882]
f_measure
0.604064 [0.470588,0.727273]
f_measure
0.48 [0.48,0.48]
f_measure
0.634203 [0.666667,0.608696]
f_measure
0.714483 [0.666667,0.758621]
f_measure
0.681026 [0.666667,0.692308]
f_measure
0.720902 [0.695652,0.740741]
f_measure
0.68 [0.666667,0.692308]
f_measure
0.76 [0.75,0.769231]
f_measure
0.705739 [0.631579,0.774194]
f_measure
0.714483 [0.666667,0.758621]
f_measure
0.478325 [0.434783,0.518519]
f_measure
0.637635 [0.571429,0.689655]
f_measure
0.6 [0.545455,0.642857]
f_measure
0.676883 [0.636364,0.714286]
f_measure
0.628998 [0.526316,0.709677]
f_measure
0.580556 [0.444444,0.6875]
f_measure
0.72 [0.72,0.72]
f_measure
0.6 [0.583333,0.615385]
f_measure
0.547059 [0.375,0.705882]
f_measure
0.796059 [0.761905,0.827586]
f_measure
0.719098 [0.695652,0.740741]
f_measure
0.561417 [0.521739,0.592593]
f_measure
0.637635 [0.571429,0.689655]
f_measure
0.717295 [0.740741,0.695652]
f_measure
0.64 [0.64,0.64]
f_measure
0.641159 [0.608696,0.666667]
kappa
0.188312
kappa
0.42623
kappa
0.363057
kappa
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kappa
0.247492
kappa
0.188312
kappa
0.358974
kappa
0.172185
kappa
0.208861
kappa
0.522293
kappa
0.188312
kappa
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kappa
0.363057
kappa
0.0625
kappa
0.290221
kappa
0.203822
kappa
0.188312
kappa
0.098361
kappa
0.346405
kappa
0.115756
kappa
0.172185
kappa
0.21875
kappa
0.290221
kappa
0.203822
kappa
0.493243
kappa
0.183007
kappa
0.437299
kappa
0.188312
kappa
0.188312
kappa
0.038462
kappa
0.038462
kappa
0.188312
kappa
0.267101
kappa
0.193548
kappa
0.267101
kappa
0.198718
kappa
0.354839
kappa
0.350649
kappa
0.358974
kappa
0.516129
kappa
0.363057
kappa
0.358974
kappa
0.28115
kappa
0.28115
kappa
0.285714
kappa
0.681529
kappa
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kappa
0.354839
kappa
0.188312
kappa
0.198718
kappa
0.110032
kappa
-0.058632
kappa
0.276527
kappa
0.519231
kappa
0.198718
kappa
0.679487
kappa
0.193548
kappa
0.110032
kappa
0.271845
kappa
0.271845
kappa
0.354839
kappa
0.437299
kappa
0.440895
kappa
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0.354839
kappa
0.032258
kappa
0.267101
kappa
0.183007
kappa
0.350649
kappa
0.115756
kappa
0.044586
kappa
0.104235
kappa
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kappa
0.177632
kappa
0.262295
kappa
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kappa
0.303406
kappa
0.433657
kappa
0.363057
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0.437299
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0.429967
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kappa
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0.155405
kappa
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kappa
0.177632
kappa
0.595469
kappa
0.437299
kappa
0.115756
kappa
0.262295
kappa
0.444444
kappa
0.290221
kappa
0.276527
kb_relative_information_score
1.352044
kb_relative_information_score
5.238278
kb_relative_information_score
2.950697
kb_relative_information_score
1.395186
kb_relative_information_score
2.801592
kb_relative_information_score
2.645519
kb_relative_information_score
4.445161
kb_relative_information_score
1.958388
kb_relative_information_score
2.355843
kb_relative_information_score
5.140458
kb_relative_information_score
2.936372
kb_relative_information_score
2.654855
kb_relative_information_score
2.817606
kb_relative_information_score
-0.157288
kb_relative_information_score
4.425734
kb_relative_information_score
3.626478
kb_relative_information_score
1.666933
kb_relative_information_score
0.880711
kb_relative_information_score
3.307226
kb_relative_information_score
1.313878
kb_relative_information_score
2.69777
kb_relative_information_score
1.944366
kb_relative_information_score
2.193174
kb_relative_information_score
3.395533
kb_relative_information_score
4.097578
kb_relative_information_score
3.062884
kb_relative_information_score
4.098838
kb_relative_information_score
1.822743
kb_relative_information_score
2.293179
kb_relative_information_score
1.149429
kb_relative_information_score
-0.124323
kb_relative_information_score
2.105749
kb_relative_information_score
1.831558
kb_relative_information_score
1.83098
kb_relative_information_score
2.494173
kb_relative_information_score
1.569893
kb_relative_information_score
4.129895
kb_relative_information_score
1.945417
kb_relative_information_score
3.862787
kb_relative_information_score
5.474037
kb_relative_information_score
3.707755
kb_relative_information_score
3.969514
kb_relative_information_score
2.541599
kb_relative_information_score
3.300421
kb_relative_information_score
1.212654
kb_relative_information_score
7.277086
kb_relative_information_score
-0.614126
kb_relative_information_score
5.542247
kb_relative_information_score
2.360379
kb_relative_information_score
3.85713
kb_relative_information_score
2.744225
kb_relative_information_score
-0.131729
kb_relative_information_score
3.721643
kb_relative_information_score
6.08892
kb_relative_information_score
1.809337
kb_relative_information_score
4.333908
kb_relative_information_score
2.220519
kb_relative_information_score
1.32912
kb_relative_information_score
2.167246
kb_relative_information_score
3.125986
kb_relative_information_score
4.046652
kb_relative_information_score
5.102286
kb_relative_information_score
5.469702
kb_relative_information_score
0.231103
kb_relative_information_score
3.194228
kb_relative_information_score
1.631116
kb_relative_information_score
2.447382
kb_relative_information_score
3.054869
kb_relative_information_score
3.764699
kb_relative_information_score
1.380897
kb_relative_information_score
2.380921
kb_relative_information_score
1.791529
kb_relative_information_score
-0.011783
kb_relative_information_score
2.507716
kb_relative_information_score
3.492656
kb_relative_information_score
-0.638922
kb_relative_information_score
3.451212
kb_relative_information_score
3.845711
kb_relative_information_score
3.993995
kb_relative_information_score
3.763617
kb_relative_information_score
3.480373
kb_relative_information_score
4.82014
kb_relative_information_score
5.049019
kb_relative_information_score
5.246025
kb_relative_information_score
1.611381
kb_relative_information_score
3.388823
kb_relative_information_score
2.793338
kb_relative_information_score
2.767588
kb_relative_information_score
4.175852
kb_relative_information_score
1.526301
kb_relative_information_score
3.784074
kb_relative_information_score
4.941231
kb_relative_information_score
4.051181
kb_relative_information_score
4.716661
kb_relative_information_score
5.035098
kb_relative_information_score
1.186442
kb_relative_information_score
4.101271
kb_relative_information_score
5.770911
kb_relative_information_score
2.441485
kb_relative_information_score
2.838103
mean_absolute_error
0.47329
mean_absolute_error
0.404282
mean_absolute_error
0.447163
mean_absolute_error
0.470856
mean_absolute_error
0.445204
mean_absolute_error
0.454447
mean_absolute_error
0.423163
mean_absolute_error
0.464653
mean_absolute_error
0.45904
mean_absolute_error
0.413605
mean_absolute_error
0.444624
mean_absolute_error
0.452146
mean_absolute_error
0.449612
mean_absolute_error
0.497166
mean_absolute_error
0.419739
mean_absolute_error
0.437163
mean_absolute_error
0.470717
mean_absolute_error
0.481604
mean_absolute_error
0.444775
mean_absolute_error
0.473704
mean_absolute_error
0.450242
mean_absolute_error
0.460339
mean_absolute_error
0.460724
mean_absolute_error
0.436653
mean_absolute_error
0.430792
mean_absolute_error
0.44537
mean_absolute_error
0.43114
mean_absolute_error
0.466489
mean_absolute_error
0.460817
mean_absolute_error
0.477658
mean_absolute_error
0.503725
mean_absolute_error
0.463375
mean_absolute_error
0.469929
mean_absolute_error
0.46853
mean_absolute_error
0.457576
mean_absolute_error
0.473942
mean_absolute_error
0.428803
mean_absolute_error
0.47117
mean_absolute_error
0.433718
mean_absolute_error
0.408097
mean_absolute_error
0.439002
mean_absolute_error
0.431624
mean_absolute_error
0.456806
mean_absolute_error
0.441133
mean_absolute_error
0.479917
mean_absolute_error
0.379265
mean_absolute_error
0.509463
mean_absolute_error
0.405154
mean_absolute_error
0.458076
mean_absolute_error
0.432728
mean_absolute_error
0.449194
mean_absolute_error
0.499764
mean_absolute_error
0.436211
mean_absolute_error
0.394927
mean_absolute_error
0.469485
mean_absolute_error
0.432133
mean_absolute_error
0.463594
mean_absolute_error
0.474703
mean_absolute_error
0.462903
mean_absolute_error
0.448182
mean_absolute_error
0.431426
mean_absolute_error
0.413462
mean_absolute_error
0.407903
mean_absolute_error
0.493632
mean_absolute_error
0.447719
mean_absolute_error
0.468851
mean_absolute_error
0.459412
mean_absolute_error
0.44784
mean_absolute_error
0.43651
mean_absolute_error
0.47584
mean_absolute_error
0.457294
mean_absolute_error
0.46805
mean_absolute_error
0.497012
mean_absolute_error
0.456973
mean_absolute_error
0.439367
mean_absolute_error
0.504594
mean_absolute_error
0.437543
mean_absolute_error
0.436139
mean_absolute_error
0.431039
mean_absolute_error
0.43307
mean_absolute_error
0.441776
mean_absolute_error
0.420907
mean_absolute_error
0.411771
mean_absolute_error
0.414487
mean_absolute_error
0.468862
mean_absolute_error
0.439164
mean_absolute_error
0.447801
mean_absolute_error
0.453165
mean_absolute_error
0.423332
mean_absolute_error
0.469429
mean_absolute_error
0.436645
mean_absolute_error
0.408968
mean_absolute_error
0.427144
mean_absolute_error
0.42158
mean_absolute_error
0.415437
mean_absolute_error
0.475053
mean_absolute_error
0.426928
mean_absolute_error
0.402906
mean_absolute_error
0.454204
mean_absolute_error
0.45079
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49873
mean_prior_absolute_error
0.49619
mean_prior_absolute_error
0.49619
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
precision
0.6 [0.545455,0.642857]
precision
0.718667 [0.7,0.733333]
precision
0.690769 [0.615385,0.75]
precision
0.484872 [0.416667,0.538462]
precision
0.637353 [0.625,0.647059]
precision
0.605882 [0.625,0.588235]
precision
0.68 [0.666667,0.692308]
precision
0.594444 [0.555556,0.625]
precision
0.616667 [0.5625,0.666667]
precision
0.768312 [0.714286,0.818182]
precision
0.6 [0.545455,0.642857]
precision
0.6 [0.545455,0.642857]
precision
0.690769 [0.615385,0.75]
precision
0.541333 [0.466667,0.6]
precision
0.658701 [0.571429,0.727273]
precision
0.605195 [0.571429,0.636364]
precision
0.605882 [0.625,0.588235]
precision
0.556 [0.5,0.6]
precision
0.728421 [0.833333,0.631579]
precision
0.558961 [0.545455,0.571429]
precision
0.594444 [0.555556,0.625]
precision
0.626667 [0.533333,0.7]
precision
0.658701 [0.571429,0.727273]
precision
0.610256 [0.538462,0.666667]
precision
0.781587 [0.857143,0.722222]
precision
0.621053 [0.666667,0.578947]
precision
0.720519 [0.727273,0.714286]
precision
0.6 [0.545455,0.642857]
precision
0.605882 [0.625,0.588235]
precision
0.52 [0.5,0.538462]
precision
0.52 [0.5,0.538462]
precision
0.605882 [0.625,0.588235]
precision
0.660635 [0.714286,0.611111]
precision
0.6 [0.6,0.6]
precision
0.660635 [0.714286,0.611111]
precision
0.6 [0.583333,0.615385]
precision
0.682667 [0.7,0.666667]
precision
0.696471 [0.75,0.647059]
precision
0.68 [0.666667,0.692308]
precision
0.765333 [0.8,0.733333]
precision
0.686753 [0.642857,0.727273]
precision
0.68 [0.666667,0.692308]
precision
0.642051 [0.615385,0.666667]
precision
0.642051 [0.615385,0.666667]
precision
0.652 [0.6,0.7]
precision
0.84987 [0.785714,0.909091]
precision
0.481538 [0.461538,0.5]
precision
0.682667 [0.7,0.666667]
precision
0.605882 [0.625,0.588235]
precision
0.6 [0.583333,0.615385]
precision
0.559167 [0.555556,0.5625]
precision
0.465714 [0.428571,0.5]
precision
0.63974 [0.636364,0.642857]
precision
0.76 [0.75,0.769231]
precision
0.6 [0.583333,0.615385]
precision
0.84 [0.833333,0.846154]
precision
0.6 [0.6,0.6]
precision
0.559167 [0.555556,0.5625]
precision
0.645 [0.666667,0.625]
precision
0.645 [0.666667,0.625]
precision
0.682667 [0.7,0.666667]
precision
0.720519 [0.727273,0.714286]
precision
0.722308 [0.692308,0.75]
precision
0.473333 [0.444444,0.5]
precision
0.682667 [0.7,0.666667]
precision
0.517333 [0.5,0.533333]
precision
0.660635 [0.714286,0.611111]
precision
0.621053 [0.666667,0.578947]
precision
0.696471 [0.75,0.647059]
precision
0.558961 [0.545455,0.571429]
precision
0.523636 [0.5,0.545455]
precision
0.563175 [0.571429,0.555556]
precision
0.478182 [0.454545,0.5]
precision
0.657143 [0.75,0.571429]
precision
0.696 [0.8,0.6]
precision
0.494026 [0.428571,0.545455]
precision
0.683056 [0.5625,0.777778]
precision
0.730833 [0.777778,0.6875]
precision
0.690769 [0.615385,0.75]
precision
0.724103 [0.666667,0.769231]
precision
0.68 [0.666667,0.692308]
precision
0.76 [0.75,0.769231]
precision
0.758095 [0.857143,0.666667]
precision
0.730833 [0.777778,0.6875]
precision
0.478182 [0.454545,0.5]
precision
0.637333 [0.6,0.666667]
precision
0.6 [0.545455,0.642857]
precision
0.682667 [0.7,0.666667]
precision
0.637353 [0.625,0.647059]
precision
0.593651 [0.571429,0.611111]
precision
0.722308 [0.692308,0.75]
precision
0.6 [0.583333,0.615385]
precision
0.657143 [0.75,0.571429]
precision
0.816667 [0.888889,0.75]
precision
0.720519 [0.727273,0.714286]
precision
0.564615 [0.5,0.615385]
precision
0.637333 [0.6,0.666667]
precision
0.736 [0.666667,0.8]
precision
0.658701 [0.571429,0.727273]
precision
0.644359 [0.583333,0.692308]
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.48
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.52
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.68
predictive_accuracy
0.56
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.52
predictive_accuracy
0.52
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.48
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.48
predictive_accuracy
0.64
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.84
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.48
predictive_accuracy
0.68
predictive_accuracy
0.52
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.56
predictive_accuracy
0.52
predictive_accuracy
0.56
predictive_accuracy
0.48
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.48
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.48
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.64
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
prior_entropy
0.99709
recall
0.6 [0.545455,0.642857]
recall
0.72 [0.636364,0.785714]
recall
0.68 [0.727273,0.642857]
recall
0.48 [0.454545,0.5]
recall
0.64 [0.454545,0.785714]
recall
0.6 [0.416667,0.769231]
recall
0.68 [0.666667,0.692308]
recall
0.6 [0.454545,0.714286]
recall
0.6 [0.75,0.461538]
recall
0.76 [0.833333,0.692308]
recall
0.6 [0.545455,0.642857]
recall
0.6 [0.545455,0.642857]
recall
0.68 [0.727273,0.642857]
recall
0.52 [0.636364,0.428571]
recall
0.64 [0.727273,0.571429]
recall
0.6 [0.666667,0.538462]
recall
0.6 [0.416667,0.769231]
recall
0.56 [0.454545,0.642857]
recall
0.68 [0.416667,0.923077]
recall
0.56 [0.5,0.615385]
recall
0.6 [0.454545,0.714286]
recall
0.6 [0.727273,0.5]
recall
0.64 [0.727273,0.571429]
recall
0.6 [0.636364,0.571429]
recall
0.76 [0.545455,0.928571]
recall
0.6 [0.333333,0.846154]
recall
0.72 [0.666667,0.769231]
recall
0.6 [0.545455,0.642857]
recall
0.6 [0.416667,0.769231]
recall
0.52 [0.5,0.538462]
recall
0.52 [0.5,0.538462]
recall
0.6 [0.416667,0.769231]
recall
0.64 [0.416667,0.846154]
recall
0.6 [0.5,0.692308]
recall
0.64 [0.416667,0.846154]
recall
0.6 [0.583333,0.615385]
recall
0.68 [0.583333,0.769231]
recall
0.68 [0.5,0.846154]
recall
0.68 [0.666667,0.692308]
recall
0.76 [0.666667,0.846154]
recall
0.68 [0.75,0.615385]
recall
0.68 [0.666667,0.692308]
recall
0.64 [0.666667,0.615385]
recall
0.64 [0.666667,0.615385]
recall
0.64 [0.75,0.538462]
recall
0.84 [0.916667,0.769231]
recall
0.48 [0.5,0.461538]
recall
0.68 [0.583333,0.769231]
recall
0.6 [0.416667,0.769231]
recall
0.6 [0.583333,0.615385]
recall
0.56 [0.416667,0.692308]
recall
0.48 [0.25,0.692308]
recall
0.64 [0.583333,0.692308]
recall
0.76 [0.75,0.769231]
recall
0.6 [0.583333,0.615385]
recall
0.84 [0.833333,0.846154]
recall
0.6 [0.5,0.692308]
recall
0.56 [0.416667,0.692308]
recall
0.64 [0.5,0.769231]
recall
0.64 [0.5,0.769231]
recall
0.68 [0.583333,0.769231]
recall
0.72 [0.666667,0.769231]
recall
0.72 [0.75,0.692308]
recall
0.48 [0.333333,0.615385]
recall
0.68 [0.583333,0.769231]
recall
0.52 [0.416667,0.615385]
recall
0.64 [0.416667,0.846154]
recall
0.6 [0.333333,0.846154]
recall
0.68 [0.5,0.846154]
recall
0.56 [0.5,0.615385]
recall
0.52 [0.583333,0.461538]
recall
0.56 [0.333333,0.769231]
recall
0.48 [0.416667,0.538462]
recall
0.6 [0.25,0.923077]
recall
0.64 [0.333333,0.923077]
recall
0.48 [0.545455,0.428571]
recall
0.64 [0.818182,0.5]
recall
0.72 [0.583333,0.846154]
recall
0.68 [0.727273,0.642857]
recall
0.72 [0.727273,0.714286]
recall
0.68 [0.666667,0.692308]
recall
0.76 [0.75,0.769231]
recall
0.72 [0.5,0.923077]
recall
0.72 [0.583333,0.846154]
recall
0.48 [0.416667,0.538462]
recall
0.64 [0.545455,0.714286]
recall
0.6 [0.545455,0.642857]
recall
0.68 [0.583333,0.769231]
recall
0.64 [0.454545,0.785714]
recall
0.6 [0.363636,0.785714]
recall
0.72 [0.75,0.692308]
recall
0.6 [0.583333,0.615385]
recall
0.6 [0.25,0.923077]
recall
0.8 [0.666667,0.923077]
recall
0.72 [0.666667,0.769231]
recall
0.56 [0.545455,0.571429]
recall
0.64 [0.545455,0.714286]
recall
0.72 [0.833333,0.615385]
recall
0.64 [0.727273,0.571429]
recall
0.64 [0.636364,0.642857]
relative_absolute_error
0.953847
relative_absolute_error
0.814772
relative_absolute_error
0.901191
relative_absolute_error
0.948942
relative_absolute_error
0.897244
relative_absolute_error
0.911207
relative_absolute_error
0.84848
relative_absolute_error
0.936442
relative_absolute_error
0.920417
relative_absolute_error
0.829315
relative_absolute_error
0.896075
relative_absolute_error
0.911234
relative_absolute_error
0.906129
relative_absolute_error
1.001966
relative_absolute_error
0.845924
relative_absolute_error
0.876552
relative_absolute_error
0.943831
relative_absolute_error
0.970603
relative_absolute_error
0.891814
relative_absolute_error
0.94982
relative_absolute_error
0.907398
relative_absolute_error
0.927747
relative_absolute_error
0.928522
relative_absolute_error
0.880011
relative_absolute_error
0.868198
relative_absolute_error
0.893008
relative_absolute_error
0.864475
relative_absolute_error
0.94014
relative_absolute_error
0.923981
relative_absolute_error
0.957748
relative_absolute_error
1.010015
relative_absolute_error
0.92911
relative_absolute_error
0.942251
relative_absolute_error
0.939445
relative_absolute_error
0.917482
relative_absolute_error
0.950298
relative_absolute_error
0.85979
relative_absolute_error
0.944739
relative_absolute_error
0.869644
relative_absolute_error
0.818272
relative_absolute_error
0.88024
relative_absolute_error
0.865447
relative_absolute_error
0.915938
relative_absolute_error
0.884512
relative_absolute_error
0.962278
relative_absolute_error
0.760462
relative_absolute_error
1.021521
relative_absolute_error
0.81237
relative_absolute_error
0.918485
relative_absolute_error
0.86766
relative_absolute_error
0.900676
relative_absolute_error
1.002073
relative_absolute_error
0.874643
relative_absolute_error
0.791866
relative_absolute_error
0.94136
relative_absolute_error
0.866466
relative_absolute_error
0.929548
relative_absolute_error
0.951824
relative_absolute_error
0.928163
relative_absolute_error
0.898646
relative_absolute_error
0.865048
relative_absolute_error
0.829029
relative_absolute_error
0.817883
relative_absolute_error
0.989778
relative_absolute_error
0.897718
relative_absolute_error
0.940089
relative_absolute_error
0.921164
relative_absolute_error
0.89796
relative_absolute_error
0.875242
relative_absolute_error
0.954104
relative_absolute_error
0.916916
relative_absolute_error
0.938483
relative_absolute_error
0.996555
relative_absolute_error
0.916272
relative_absolute_error
0.880971
relative_absolute_error
1.016937
relative_absolute_error
0.881805
relative_absolute_error
0.874499
relative_absolute_error
0.868696
relative_absolute_error
0.872789
relative_absolute_error
0.885802
relative_absolute_error
0.843958
relative_absolute_error
0.825638
relative_absolute_error
0.831085
relative_absolute_error
0.940112
relative_absolute_error
0.885071
relative_absolute_error
0.902479
relative_absolute_error
0.908638
relative_absolute_error
0.853165
relative_absolute_error
0.946066
relative_absolute_error
0.875514
relative_absolute_error
0.820018
relative_absolute_error
0.856463
relative_absolute_error
0.845308
relative_absolute_error
0.832989
relative_absolute_error
0.9574
relative_absolute_error
0.860411
relative_absolute_error
0.807864
relative_absolute_error
0.915382
relative_absolute_error
0.908503
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.499738
root_mean_prior_squared_error
0.49719
root_mean_prior_squared_error
0.49719
root_mean_squared_error
0.490517
root_mean_squared_error
0.438559
root_mean_squared_error
0.474221
root_mean_squared_error
0.491552
root_mean_squared_error
0.484653
root_mean_squared_error
0.476744
root_mean_squared_error
0.462175
root_mean_squared_error
0.49651
root_mean_squared_error
0.495276
root_mean_squared_error
0.440755
root_mean_squared_error
0.474716
root_mean_squared_error
0.479887
root_mean_squared_error
0.477484
root_mean_squared_error
0.518657
root_mean_squared_error
0.452739
root_mean_squared_error
0.45623
root_mean_squared_error
0.491984
root_mean_squared_error
0.527561
root_mean_squared_error
0.467741
root_mean_squared_error
0.513091
root_mean_squared_error
0.48578
root_mean_squared_error
0.491768
root_mean_squared_error
0.487893
root_mean_squared_error
0.464916
root_mean_squared_error
0.461888
root_mean_squared_error
0.482969
root_mean_squared_error
0.458087
root_mean_squared_error
0.499722
root_mean_squared_error
0.482415
root_mean_squared_error
0.508138
root_mean_squared_error
0.539978
root_mean_squared_error
0.496366
root_mean_squared_error
0.495936
root_mean_squared_error
0.49517
root_mean_squared_error
0.478722
root_mean_squared_error
0.496609
root_mean_squared_error
0.459388
root_mean_squared_error
0.497739
root_mean_squared_error
0.462424
root_mean_squared_error
0.435309
root_mean_squared_error
0.458014
root_mean_squared_error
0.459294
root_mean_squared_error
0.4793
root_mean_squared_error
0.469227
root_mean_squared_error
0.507153
root_mean_squared_error
0.395764
root_mean_squared_error
0.544635
root_mean_squared_error
0.446604
root_mean_squared_error
0.490292
root_mean_squared_error
0.458241
root_mean_squared_error
0.486895
root_mean_squared_error
0.537559
root_mean_squared_error
0.46912
root_mean_squared_error
0.443574
root_mean_squared_error
0.492648
root_mean_squared_error
0.439761
root_mean_squared_error
0.492169
root_mean_squared_error
0.51557
root_mean_squared_error
0.499429
root_mean_squared_error
0.482771
root_mean_squared_error
0.462308
root_mean_squared_error
0.437389
root_mean_squared_error
0.43332
root_mean_squared_error
0.533303
root_mean_squared_error
0.48763
root_mean_squared_error
0.503501
root_mean_squared_error
0.487818
root_mean_squared_error
0.468152
root_mean_squared_error
0.473252
root_mean_squared_error
0.501779
root_mean_squared_error
0.477807
root_mean_squared_error
0.498452
root_mean_squared_error
0.52571
root_mean_squared_error
0.499252
root_mean_squared_error
0.475862
root_mean_squared_error
0.531625
root_mean_squared_error
0.465957
root_mean_squared_error
0.458094
root_mean_squared_error
0.454057
root_mean_squared_error
0.457967
root_mean_squared_error
0.461087
root_mean_squared_error
0.437899
root_mean_squared_error
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