370374
2
Joaquin Vanschoren
4333
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
762
fri_c2_100_10
https://www.openml.org/data/download/53296/fri_c2_100_10.arff
-1
1285292
description
https://api.openml.org/data/download/1285292/weka_generated_run7444561489598223222.xml
-1
1285295
model_readable
https://api.openml.org/data/download/1285295/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7906256769356455982.model
-1
1285294
model_serialized
https://api.openml.org/data/download/1285294/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2337041918940359238.model
-1
1285293
predictions
https://api.openml.org/data/download/1285293/weka_generated_predictions7333283981462765948.arff
area_under_roc_curve
0.798828 [0.798828,0.798828]
average_cost
0
f_measure
0.770171 [0.746696,0.789377]
kappa
0.536103
kb_relative_information_score
457.860894
mean_absolute_error
0.276827
mean_prior_absolute_error
0.495098
number_of_instances
1000 [450,550]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.77044 [0.740175,0.795203]
predictive_accuracy
0.77
prior_entropy
0.993055
recall
0.77 [0.753333,0.783636]
relative_absolute_error
0.559137
root_mean_prior_squared_error
0.497495
root_mean_squared_error
0.415399
root_relative_squared_error
0.834981
scimark_benchmark
1331.255863 [800.477525720216, 967.1041700008193, 536.3346162568728, 1113.1379952308184, 3239.2250102693683]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.64 [0.64,0.64]
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
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.44 [0.44,0.44]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.541667 [0.541667,0.541667]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.729167 [0.729167,0.729167]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.46 [0.46,0.46]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.520833 [0.520833,0.520833]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.875 [0.875,0.875]
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
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0
average_cost
0
average_cost
0
average_cost
0
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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
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average_cost
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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
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0
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0
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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
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
1 [1,1]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.89899 [0.888889,0.909091]
f_measure
1 [1,1]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.909091,0.888889]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.52381 [0.714286,0.333333]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.6 [0.6,0.6]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.52381 [0.333333,0.714286]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.6 [0.6,0.6]
f_measure
0.566667 [0.666667,0.5]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.896703 [0.857143,0.923077]
f_measure
1 [1,1]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.90101 [0.888889,0.909091]
f_measure
1 [1,1]
f_measure
0.4 [0.4,0.4]
f_measure
0.8 [0.75,0.833333]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.4 [0.4,0.4]
f_measure
0.8 [0.75,0.833333]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.70303 [0.666667,0.727273]
f_measure
1 [1,1]
f_measure
0.4 [0.4,0.4]
f_measure
0.8 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.6 [0.6,0.6]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.8 [0.75,0.833333]
f_measure
1 [1,1]
f_measure
0.8 [0.75,0.833333]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.75,0.833333]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.6 [0.5,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.69697 [0.666667,0.727273]
f_measure
1 [1,1]
f_measure
0.69011 [0.571429,0.769231]
f_measure
0.8 [0.8,0.8]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.690909 [0.727273,0.666667]
f_measure
0.8 [0.8,0.8]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.8 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.75,0.833333]
f_measure
0.896703 [0.857143,0.923077]
kappa
0.4
kappa
0.4
kappa
1
kappa
0.2
kappa
0.8
kappa
0.8
kappa
1
kappa
0.583333
kappa
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kappa
1
kappa
0.615385
kappa
0.6
kappa
1
kappa
0.4
kappa
0.545455
kappa
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kappa
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kappa
0.4
kappa
0.8
kappa
0.8
kappa
0.583333
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kappa
0.583333
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kappa
0.545455
kappa
0.8
kappa
0.2
kappa
0.090909
kappa
0.2
kappa
0.4
kappa
0.8
kappa
0.8
kappa
0.2
kappa
0.2
kappa
0.285714
kappa
0.2
kappa
0.2
kappa
0.4
kappa
0.8
kappa
0.4
kappa
0.4
kappa
0.4
kappa
0.6
kappa
0.6
kappa
0.583333
kappa
0.6
kappa
0.4
kappa
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kappa
0
kappa
0.782609
kappa
1
kappa
0.6
kappa
0.8
kappa
1
kappa
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kappa
0.583333
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kappa
0.4
kappa
0.8
kappa
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kappa
0.583333
kappa
0.2
kappa
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0.4
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1
kappa
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kappa
0.583333
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0.4
kappa
0.230769
kappa
0.4
kappa
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kappa
0.8
kappa
0.583333
kappa
1
kappa
0.583333
kappa
0.444444
kappa
0.6
kappa
0.8
kappa
0.583333
kappa
0.583333
kappa
0.2
kappa
0.166667
kappa
0.4
kappa
0.4
kappa
1
kappa
0.347826
kappa
0.6
kappa
0.8
kappa
0.545455
kappa
0.444444
kappa
0.6
kappa
0.545455
kappa
0.583333
kappa
0.4
kappa
0.583333
kappa
0.782609
kb_relative_information_score
3.711767
kb_relative_information_score
5.219414
kb_relative_information_score
7.235186
kb_relative_information_score
2.666259
kb_relative_information_score
7.260955
kb_relative_information_score
5.41137
kb_relative_information_score
7.9749
kb_relative_information_score
5.023986
kb_relative_information_score
6.210374
kb_relative_information_score
7.977853
kb_relative_information_score
4.879611
kb_relative_information_score
5.330037
kb_relative_information_score
7.939522
kb_relative_information_score
3.61016
kb_relative_information_score
3.57993
kb_relative_information_score
3.806214
kb_relative_information_score
7.288578
kb_relative_information_score
4.125461
kb_relative_information_score
6.11529
kb_relative_information_score
6.923634
kb_relative_information_score
5.713685
kb_relative_information_score
7.024912
kb_relative_information_score
2.440723
kb_relative_information_score
4.483696
kb_relative_information_score
5.038473
kb_relative_information_score
3.782705
kb_relative_information_score
2.549188
kb_relative_information_score
5.402932
kb_relative_information_score
6.183352
kb_relative_information_score
2.468722
kb_relative_information_score
3.067583
kb_relative_information_score
0.425341
kb_relative_information_score
4.861171
kb_relative_information_score
7.439307
kb_relative_information_score
7.260955
kb_relative_information_score
3.483038
kb_relative_information_score
2.766953
kb_relative_information_score
0.173746
kb_relative_information_score
1.098843
kb_relative_information_score
1.939847
kb_relative_information_score
3.285623
kb_relative_information_score
6.476608
kb_relative_information_score
2.86076
kb_relative_information_score
4.362095
kb_relative_information_score
3.120015
kb_relative_information_score
5.365046
kb_relative_information_score
5.943185
kb_relative_information_score
3.120982
kb_relative_information_score
5.736438
kb_relative_information_score
5.219414
kb_relative_information_score
5.399689
kb_relative_information_score
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kb_relative_information_score
5.512893
kb_relative_information_score
7.628005
kb_relative_information_score
5.226084
kb_relative_information_score
6.67017
kb_relative_information_score
7.684888
kb_relative_information_score
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kb_relative_information_score
4.998586
kb_relative_information_score
4.170894
kb_relative_information_score
3.596465
kb_relative_information_score
6.530229
kb_relative_information_score
0.29162
kb_relative_information_score
4.390959
kb_relative_information_score
1.816046
kb_relative_information_score
6.724743
kb_relative_information_score
2.626667
kb_relative_information_score
7.939522
kb_relative_information_score
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kb_relative_information_score
4.874367
kb_relative_information_score
5.571819
kb_relative_information_score
3.289123
kb_relative_information_score
1.481946
kb_relative_information_score
2.592847
kb_relative_information_score
5.461719
kb_relative_information_score
5.496872
kb_relative_information_score
3.364451
kb_relative_information_score
8.625157
kb_relative_information_score
5.471237
kb_relative_information_score
3.033255
kb_relative_information_score
6.107627
kb_relative_information_score
6.624097
kb_relative_information_score
5.440271
kb_relative_information_score
4.320444
kb_relative_information_score
2.549188
kb_relative_information_score
2.150682
kb_relative_information_score
2.555108
kb_relative_information_score
2.903193
kb_relative_information_score
8.309578
kb_relative_information_score
3.319008
kb_relative_information_score
4.340659
kb_relative_information_score
6.67017
kb_relative_information_score
5.793473
kb_relative_information_score
4.024738
kb_relative_information_score
5.069464
kb_relative_information_score
4.294137
kb_relative_information_score
5.212635
kb_relative_information_score
5.219414
kb_relative_information_score
3.315438
kb_relative_information_score
5.991141
mean_absolute_error
0.30875
mean_absolute_error
0.253395
mean_absolute_error
0.160315
mean_absolute_error
0.372587
mean_absolute_error
0.138824
mean_absolute_error
0.247682
mean_absolute_error
0.123758
mean_absolute_error
0.250979
mean_absolute_error
0.208565
mean_absolute_error
0.124452
mean_absolute_error
0.254206
mean_absolute_error
0.249705
mean_absolute_error
0.131975
mean_absolute_error
0.329537
mean_absolute_error
0.313506
mean_absolute_error
0.31665
mean_absolute_error
0.160507
mean_absolute_error
0.291135
mean_absolute_error
0.213294
mean_absolute_error
0.171422
mean_absolute_error
0.216735
mean_absolute_error
0.171422
mean_absolute_error
0.378172
mean_absolute_error
0.290328
mean_absolute_error
0.250024
mean_absolute_error
0.324705
mean_absolute_error
0.376954
mean_absolute_error
0.229687
mean_absolute_error
0.210059
mean_absolute_error
0.379836
mean_absolute_error
0.339096
mean_absolute_error
0.485681
mean_absolute_error
0.265899
mean_absolute_error
0.145794
mean_absolute_error
0.138824
mean_absolute_error
0.326643
mean_absolute_error
0.357372
mean_absolute_error
0.482382
mean_absolute_error
0.450358
mean_absolute_error
0.402308
mean_absolute_error
0.331973
mean_absolute_error
0.190645
mean_absolute_error
0.366391
mean_absolute_error
0.292592
mean_absolute_error
0.338273
mean_absolute_error
0.24745
mean_absolute_error
0.218685
mean_absolute_error
0.349179
mean_absolute_error
0.216405
mean_absolute_error
0.253395
mean_absolute_error
0.239773
mean_absolute_error
0.519876
mean_absolute_error
0.224899
mean_absolute_error
0.133725
mean_absolute_error
0.25319
mean_absolute_error
0.175678
mean_absolute_error
0.12998
mean_absolute_error
0.514023
mean_absolute_error
0.25258
mean_absolute_error
0.289927
mean_absolute_error
0.330383
mean_absolute_error
0.182349
mean_absolute_error
0.46805
mean_absolute_error
0.276365
mean_absolute_error
0.414056
mean_absolute_error
0.165878
mean_absolute_error
0.366562
mean_absolute_error
0.131975
mean_absolute_error
0.524361
mean_absolute_error
0.254431
mean_absolute_error
0.240002
mean_absolute_error
0.331716
mean_absolute_error
0.417138
mean_absolute_error
0.367531
mean_absolute_error
0.239565
mean_absolute_error
0.229292
mean_absolute_error
0.332233
mean_absolute_error
0.098956
mean_absolute_error
0.223166
mean_absolute_error
0.343103
mean_absolute_error
0.212957
mean_absolute_error
0.179354
mean_absolute_error
0.228742
mean_absolute_error
0.28583
mean_absolute_error
0.376954
mean_absolute_error
0.381799
mean_absolute_error
0.368399
mean_absolute_error
0.365143
mean_absolute_error
0.10078
mean_absolute_error
0.329871
mean_absolute_error
0.296126
mean_absolute_error
0.175678
mean_absolute_error
0.202007
mean_absolute_error
0.291527
mean_absolute_error
0.260162
mean_absolute_error
0.281682
mean_absolute_error
0.233484
mean_absolute_error
0.253395
mean_absolute_error
0.331769
mean_absolute_error
0.207803
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.75,0.666667]
precision
1 [1,1]
precision
0.619048 [0.571429,0.666667]
precision
0.92 [0.8,1]
precision
0.916667 [1,0.833333]
precision
1 [1,1]
precision
0.8 [0.75,0.833333]
precision
0.916667 [0.833333,1]
precision
1 [1,1]
precision
0.866667 [0.666667,1]
precision
0.8 [0.8,0.8]
precision
1 [1,1]
precision
0.8125 [1,0.625]
precision
0.85 [1,0.75]
precision
0.8125 [1,0.625]
precision
0.916667 [0.833333,1]
precision
0.72 [0.6,0.8]
precision
0.916667 [0.833333,1]
precision
0.916667 [0.833333,1]
precision
0.8 [0.75,0.833333]
precision
0.916667 [1,0.833333]
precision
0.777778 [0.555556,1]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.8,0.8]
precision
0.619048 [0.666667,0.571429]
precision
0.85 [1,0.75]
precision
0.916667 [1,0.833333]
precision
0.6 [0.6,0.6]
precision
0.575 [0.5,0.625]
precision
0.777778 [1,0.555556]
precision
0.708333 [0.666667,0.75]
precision
0.916667 [0.833333,1]
precision
0.92 [0.8,1]
precision
0.619048 [0.571429,0.666667]
precision
0.6 [0.6,0.6]
precision
0.8 [0.5,1]
precision
0.6 [0.6,0.6]
precision
0.619048 [0.666667,0.571429]
precision
0.72 [0.6,0.8]
precision
0.916667 [1,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.8125 [1,0.625]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.857143 [1,0.714286]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.8,0.8]
precision
0.52 [0.4,0.6]
precision
0.914286 [1,0.857143]
precision
1 [1,1]
precision
0.857143 [0.714286,1]
precision
0.92 [0.8,1]
precision
1 [1,1]
precision
0.4 [0.4,0.4]
precision
0.8 [0.75,0.833333]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.666667,0.75]
precision
0.92 [0.8,1]
precision
0.433333 [0.333333,0.5]
precision
0.8 [0.75,0.833333]
precision
0.619048 [0.571429,0.666667]
precision
0.92 [0.8,1]
precision
0.72 [0.6,0.8]
precision
1 [1,1]
precision
0.433333 [0.333333,0.5]
precision
0.8 [0.75,0.833333]
precision
0.857143 [1,0.714286]
precision
0.72 [0.6,0.8]
precision
0.65 [0.5,0.75]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.92 [0.8,1]
precision
0.8 [0.75,0.833333]
precision
1 [1,1]
precision
0.8 [0.75,0.833333]
precision
0.828571 [0.571429,1]
precision
0.857143 [1,0.714286]
precision
0.92 [0.8,1]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.75,0.833333]
precision
0.619048 [0.666667,0.571429]
precision
0.6 [0.5,0.666667]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.75,0.666667]
precision
1 [1,1]
precision
0.695238 [0.666667,0.714286]
precision
0.8 [0.8,0.8]
precision
0.92 [0.8,1]
precision
0.85 [1,0.75]
precision
0.828571 [0.571429,1]
precision
0.8 [0.8,0.8]
precision
0.85 [1,0.75]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.914286 [1,0.857143]
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
recall
0.7 [0.75,0.666667]
recall
0.7 [0.6,0.8]
recall
1 [1,1]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.833333]
recall
0.9 [0.8,1]
recall
1 [1,1]
recall
0.8 [0.75,0.833333]
recall
0.9 [1,0.8]
recall
1 [1,1]
recall
0.8 [1,0.666667]
recall
0.8 [0.8,0.8]
recall
1 [1,1]
recall
0.7 [0.4,1]
recall
0.8 [0.5,1]
recall
0.7 [0.4,1]
recall
0.9 [1,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [1,0.8]
recall
0.9 [1,0.8]
recall
0.8 [0.75,0.833333]
recall
0.9 [0.8,1]
recall
0.6 [1,0.2]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.8,0.8]
recall
0.6 [0.4,0.8]
recall
0.8 [0.5,1]
recall
0.9 [0.8,1]
recall
0.6 [0.6,0.6]
recall
0.6 [0.25,0.833333]
recall
0.6 [0.2,1]
recall
0.7 [0.8,0.6]
recall
0.9 [1,0.8]
recall
0.9 [1,0.833333]
recall
0.6 [0.8,0.4]
recall
0.6 [0.6,0.6]
recall
0.6 [1,0.333333]
recall
0.6 [0.6,0.6]
recall
0.6 [0.4,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [0.8,1]
recall
0.7 [0.6,0.8]
recall
0.7 [0.4,1]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.6,1]
recall
0.7 [0.6,0.8]
recall
0.8 [0.8,0.8]
recall
0.5 [0.5,0.5]
recall
0.9 [0.75,1]
recall
1 [1,1]
recall
0.8 [1,0.6]
recall
0.9 [1,0.833333]
recall
1 [1,1]
recall
0.4 [0.4,0.4]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.75,0.666667]
recall
0.7 [0.8,0.6]
recall
0.9 [1,0.833333]
recall
0.4 [0.5,0.333333]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.833333]
recall
0.7 [0.75,0.666667]
recall
1 [1,1]
recall
0.4 [0.5,0.333333]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.6,1]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.75,0.5]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.833333]
recall
0.8 [0.75,0.833333]
recall
1 [1,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [1,0.5]
recall
0.8 [0.6,1]
recall
0.9 [1,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.4,0.8]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.75,0.666667]
recall
0.7 [0.6,0.8]
recall
1 [1,1]
recall
0.7 [0.5,0.833333]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.833333]
recall
0.8 [0.5,1]
recall
0.7 [1,0.5]
recall
0.8 [0.8,0.8]
recall
0.8 [0.5,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.9 [0.75,1]
relative_absolute_error
0.629849
relative_absolute_error
0.50679
relative_absolute_error
0.320631
relative_absolute_error
0.745173
relative_absolute_error
0.283201
relative_absolute_error
0.495364
relative_absolute_error
0.247516
relative_absolute_error
0.511996
relative_absolute_error
0.417131
relative_absolute_error
0.248905
relative_absolute_error
0.51858
relative_absolute_error
0.499411
relative_absolute_error
0.26395
relative_absolute_error
0.659073
relative_absolute_error
0.639552
relative_absolute_error
0.633301
relative_absolute_error
0.321015
relative_absolute_error
0.593915
relative_absolute_error
0.426588
relative_absolute_error
0.342844
relative_absolute_error
0.442139
relative_absolute_error
0.342843
relative_absolute_error
0.756344
relative_absolute_error
0.580656
relative_absolute_error
0.51005
relative_absolute_error
0.649409
relative_absolute_error
0.753909
relative_absolute_error
0.468563
relative_absolute_error
0.420118
relative_absolute_error
0.759673
relative_absolute_error
0.691756
relative_absolute_error
0.971362
relative_absolute_error
0.531797
relative_absolute_error
0.291588
relative_absolute_error
0.283201
relative_absolute_error
0.653286
relative_absolute_error
0.714743
relative_absolute_error
0.98406
relative_absolute_error
0.900717
relative_absolute_error
0.804616
relative_absolute_error
0.677225
relative_absolute_error
0.38129
relative_absolute_error
0.732783
relative_absolute_error
0.585184
relative_absolute_error
0.690077
relative_absolute_error
0.4949
relative_absolute_error
0.437369
relative_absolute_error
0.712326
relative_absolute_error
0.432811
relative_absolute_error
0.50679
relative_absolute_error
0.479547
relative_absolute_error
1.060547
relative_absolute_error
0.458794
relative_absolute_error
0.272798
relative_absolute_error
0.50638
relative_absolute_error
0.358384
relative_absolute_error
0.265159
relative_absolute_error
1.028046
relative_absolute_error
0.515264
relative_absolute_error
0.591451
relative_absolute_error
0.660767
relative_absolute_error
0.371991
relative_absolute_error
0.954823
relative_absolute_error
0.563784
relative_absolute_error
0.828112
relative_absolute_error
0.338392
relative_absolute_error
0.747787
relative_absolute_error
0.26395
relative_absolute_error
1.069697
relative_absolute_error
0.519039
relative_absolute_error
0.480004
relative_absolute_error
0.676701
relative_absolute_error
0.850961
relative_absolute_error
0.749763
relative_absolute_error
0.479131
relative_absolute_error
0.467755
relative_absolute_error
0.677754
relative_absolute_error
0.197912
relative_absolute_error
0.455259
relative_absolute_error
0.699931
relative_absolute_error
0.425914
relative_absolute_error
0.365883
relative_absolute_error
0.466634
relative_absolute_error
0.583094
relative_absolute_error
0.753909
relative_absolute_error
0.778871
relative_absolute_error
0.751534
relative_absolute_error
0.730285
relative_absolute_error
0.205591
relative_absolute_error
0.672938
relative_absolute_error
0.592251
relative_absolute_error
0.358384
relative_absolute_error
0.412095
relative_absolute_error
0.594716
relative_absolute_error
0.520324
relative_absolute_error
0.57463
relative_absolute_error
0.476307
relative_absolute_error
0.50679
relative_absolute_error
0.676809
relative_absolute_error
0.423918
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_squared_error
0.440754
root_mean_squared_error
0.37798
root_mean_squared_error
0.236786
root_mean_squared_error
0.502525
root_mean_squared_error
0.230835
root_mean_squared_error
0.368268
root_mean_squared_error
0.191252
root_mean_squared_error
0.372744
root_mean_squared_error
0.290201
root_mean_squared_error
0.18905
root_mean_squared_error
0.393272
root_mean_squared_error
0.372569
root_mean_squared_error
0.170031
root_mean_squared_error
0.476908
root_mean_squared_error
0.418175
root_mean_squared_error
0.429448
root_mean_squared_error
0.221761
root_mean_squared_error
0.449639
root_mean_squared_error
0.349681
root_mean_squared_error
0.320986
root_mean_squared_error
0.346733
root_mean_squared_error
0.298512
root_mean_squared_error
0.534305
root_mean_squared_error
0.402658
root_mean_squared_error
0.418829
root_mean_squared_error
0.46805
root_mean_squared_error
0.544102
root_mean_squared_error
0.390304
root_mean_squared_error
0.337709
root_mean_squared_error
0.546111
root_mean_squared_error
0.48453
root_mean_squared_error
0.596978
root_mean_squared_error
0.396387
root_mean_squared_error
0.232342
root_mean_squared_error
0.230835
root_mean_squared_error
0.451426
root_mean_squared_error
0.501492
root_mean_squared_error
0.609549
root_mean_squared_error
0.612364
root_mean_squared_error
0.527963
root_mean_squared_error
0.476936
root_mean_squared_error
0.315026
root_mean_squared_error
0.532022
root_mean_squared_error
0.454499
root_mean_squared_error
0.48342
root_mean_squared_error
0.41808
root_mean_squared_error
0.3508
root_mean_squared_error
0.448133
root_mean_squared_error
0.365702
root_mean_squared_error
0.37798
root_mean_squared_error
0.405453
root_mean_squared_error
0.651033
root_mean_squared_error
0.341816
root_mean_squared_error
0.170574
root_mean_squared_error
0.380815
root_mean_squared_error
0.242109
root_mean_squared_error
0.175737
root_mean_squared_error
0.596376
root_mean_squared_error
0.372367
root_mean_squared_error
0.404175
root_mean_squared_error
0.474353
root_mean_squared_error
0.251029
root_mean_squared_error
0.558859
root_mean_squared_error
0.428121
root_mean_squared_error
0.526113
root_mean_squared_error
0.320462
root_mean_squared_error
0.532378
root_mean_squared_error
0.170031
root_mean_squared_error
0.627349
root_mean_squared_error
0.358224
root_mean_squared_error
0.321611
root_mean_squared_error
0.517602
root_mean_squared_error
0.565063
root_mean_squared_error
0.534963
root_mean_squared_error
0.359217
root_mean_squared_error
0.362327
root_mean_squared_error
0.437408
root_mean_squared_error
0.099582
root_mean_squared_error
0.341771
root_mean_squared_error
0.455729
root_mean_squared_error
0.343021
root_mean_squared_error
0.243821
root_mean_squared_error
0.368066
root_mean_squared_error
0.441702
root_mean_squared_error
0.544102
root_mean_squared_error
0.546593
root_mean_squared_error
0.456165
root_mean_squared_error
0.528794
root_mean_squared_error
0.101594
root_mean_squared_error
0.511509
root_mean_squared_error
0.409915
root_mean_squared_error
0.242109
root_mean_squared_error
0.347245
root_mean_squared_error
0.384835
root_mean_squared_error
0.395192
root_mean_squared_error
0.389177
root_mean_squared_error
0.40444
root_mean_squared_error
0.37798
root_mean_squared_error
0.445167
root_mean_squared_error
0.331418
root_relative_squared_error
0.894853
root_relative_squared_error
0.752353
root_relative_squared_error
0.471313
root_relative_squared_error
1.000254
root_relative_squared_error
0.468658
root_relative_squared_error
0.733021
root_relative_squared_error
0.380678
root_relative_squared_error
0.756773
root_relative_squared_error
0.577632
root_relative_squared_error
0.376296
root_relative_squared_error
0.798451
root_relative_squared_error
0.741582
root_relative_squared_error
0.338438
root_relative_squared_error
0.949265
root_relative_squared_error
0.849012
root_relative_squared_error
0.854798
root_relative_squared_error
0.441406
root_relative_squared_error
0.912892
root_relative_squared_error
0.696026
root_relative_squared_error
0.638909
root_relative_squared_error
0.703965
root_relative_squared_error
0.594176
root_relative_squared_error
1.063512
root_relative_squared_error
0.801473
root_relative_squared_error
0.850339
root_relative_squared_error
0.931633
root_relative_squared_error
1.083011
root_relative_squared_error
0.792426
root_relative_squared_error
0.672195
root_relative_squared_error
1.08701
root_relative_squared_error
0.98373
root_relative_squared_error
1.18826
root_relative_squared_error
0.788992
root_relative_squared_error
0.462467
root_relative_squared_error
0.468658
root_relative_squared_error
0.898543
root_relative_squared_error
0.998197
root_relative_squared_error
1.237554
root_relative_squared_error
1.218885
root_relative_squared_error
1.050887
root_relative_squared_error
0.968314
root_relative_squared_error
0.627047
root_relative_squared_error
1.058968
root_relative_squared_error
0.90466
root_relative_squared_error
0.981476
root_relative_squared_error
0.83217
root_relative_squared_error
0.698253
root_relative_squared_error
0.909834
root_relative_squared_error
0.727914
root_relative_squared_error
0.752353
root_relative_squared_error
0.807037
root_relative_squared_error
1.321777
root_relative_squared_error
0.693982
root_relative_squared_error
0.346312
root_relative_squared_error
0.757995
root_relative_squared_error
0.491549
root_relative_squared_error
0.356795
root_relative_squared_error
1.18706
root_relative_squared_error
0.756009
root_relative_squared_error
0.820588
root_relative_squared_error
0.944178
root_relative_squared_error
0.50966
root_relative_squared_error
1.134639
root_relative_squared_error
0.869205
root_relative_squared_error
1.047205
root_relative_squared_error
0.650626
root_relative_squared_error
1.080876
root_relative_squared_error
0.338438
root_relative_squared_error
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