313470
2
Joaquin Vanschoren
4204
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
340
squash-stored
https://www.openml.org/data/download/52243/phpH2fvsy
-1
1064500
description
https://api.openml.org/data/download/1064500/weka_generated_run8590098038317485471.xml
-1
1064503
model_readable
https://api.openml.org/data/download/1064503/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8826779474410232579.model
-1
1064502
model_serialized
https://api.openml.org/data/download/1064502/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7332135461806246642.model
-1
1064501
predictions
https://api.openml.org/data/download/1064501/weka_generated_predictions257505880597764855.arff
area_under_roc_curve
0.733961 [0.80593,0.599386,0.880313]
average_cost
0
f_measure
0.595288 [0.733333,0.491315,0.471338]
kappa
0.349257
kb_relative_information_score
194.784753
mean_absolute_error
0.287201
mean_prior_absolute_error
0.41352
number_of_instances
520 [230,210,80]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.592465 [0.704,0.512953,0.480519]
predictive_accuracy
0.6
prior_entropy
1.478161
recall
0.6 [0.765217,0.471429,0.4625]
relative_absolute_error
0.694528
root_mean_prior_squared_error
0.45378
root_mean_squared_error
0.459255
root_relative_squared_error
1.012066
scimark_benchmark
938.04138 [552.6744499688575, 1009.9344946043965, 480.4213690634573, 904.5686674515777, 1742.6079207559749]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.8 [1,0.5,0.8]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.861111 [0.888889,0.75,1]
area_under_roc_curve
0.669444 [0.875,0.555556,0.6]
area_under_roc_curve
0.766667 [1,0.666667,0.6]
area_under_roc_curve
0.888889 [1,0.777778,1]
area_under_roc_curve
0.35 [0.75,0,0.6]
area_under_roc_curve
0.722222 [0.888889,0.555556,0.0]
area_under_roc_curve
0.688889 [0.777778,0.5,0.8]
area_under_roc_curve
0.666667 [0.777778,0.555556,0.0]
area_under_roc_curve
0.675 [0.625,0.666667,0.8]
area_under_roc_curve
0.763889 [0.777778,0.625,1]
area_under_roc_curve
0.944444 [1,0.888889,0.0]
area_under_roc_curve
0.688889 [0.777778,0.5,0.8]
area_under_roc_curve
0.722222 [0.777778,0.5,1]
area_under_roc_curve
0.508333 [0.666667,0.125,0.8]
area_under_roc_curve
0.744444 [0.888889,0.5,0.8]
area_under_roc_curve
0.763889 [0.777778,0.625,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.916667 [1,0.75,1]
area_under_roc_curve
0.416667 [0.666667,0,0.75]
area_under_roc_curve
0.7 [0.833333,0.5,0.0]
area_under_roc_curve
0.333333 [0.333333,0.333333,0.0]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
0.766667 [0.833333,0.666667,0.0]
area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.566667 [1,0.166667,0.5]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
0.866667 [1,0.666667,1]
area_under_roc_curve
0.433333 [0.5,0.333333,0.0]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9 [1,1,0.5]
area_under_roc_curve
0.633333 [1,0.333333,0.5]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.6 [0.666667,0.333333,1]
area_under_roc_curve
0.55 [0.666667,0.333333,0.75]
area_under_roc_curve
0.733333 [0.833333,0.5,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.6 [0.666667,0.333333,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.683333 [0.833333,0.5,0.75]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.866667 [1,0.666667,1]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.733333 [0.833333,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.533333 [0.5,0.333333,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
area_under_roc_curve
0.466667 [0.5,0.166667,1]
area_under_roc_curve
0.833333 [1,0.833333,0.5]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.533333 [0.5,0.333333,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.683333 [0.833333,0.5,0.75]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.6 [0.666667,0.5,0.0]
area_under_roc_curve
0.533333 [0.666667,0.166667,1]
area_under_roc_curve
0.9 [1,1,0.5]
area_under_roc_curve
0.483333 [0.5,0.333333,0.75]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.55 [0.833333,0.166667,0.75]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.483333 [0.666667,0.166667,0.75]
area_under_roc_curve
0.3 [0.5,0.166667,0.0]
area_under_roc_curve
0.333333 [0.333333,0,1]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
area_under_roc_curve
0.616667 [0.666667,0.5,0.75]
area_under_roc_curve
0.333333 [0.333333,0,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.616667 [0.833333,0.333333,0.75]
area_under_roc_curve
0.533333 [0.666667,0.333333,0.0]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
1 [1,1,0.0]
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
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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
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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
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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
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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
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0
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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
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0
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0
average_cost
0
average_cost
0
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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
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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
f_measure
0.833333 [1,0.666667,0.666667]
f_measure
0.595238 [0.857143,0.5,0]
f_measure
0.833333 [0.8,0.8,1]
f_measure
0.6 [0.8,0.666667,0]
f_measure
0.666667 [0.8,0.8,0]
f_measure
0.81746 [0.666667,0.857143,1]
f_measure
0 [0,0,0]
f_measure
0.533333 [0.666667,0.4,0]
f_measure
0.595238 [0.857143,0.5,0]
f_measure
0.533333 [0.666667,0.4,0]
f_measure
0.452381 [0.5,0.571429,0]
f_measure
0.541667 [0.75,0,1]
f_measure
0.75 [1,0.5,0]
f_measure
0.677778 [0.8,0.5,0.666667]
f_measure
0.375 [0.75,0,0]
f_measure
0.428571 [0.857143,0,0]
f_measure
0.333333 [0.666667,0,0]
f_measure
0.466667 [0.666667,0.4,0]
f_measure
0.595238 [0.857143,0.5,0]
f_measure
0.833333 [1,0.666667,0.666667]
f_measure
0.32 [0.8,0,0]
f_measure
0.68 [0.8,0.5,0]
f_measure
0.46 [0.5,0.4,0]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.866667 [1,0.666667,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.5 [1,0,0.5]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.8 [0.8,0.8,0]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.46 [0.5,0.4,0]
f_measure
0.8 [0.8,0.8,0]
f_measure
0.45 [0.75,0,0]
f_measure
0.866667 [1,0.666667,0]
f_measure
0.6 [1,0.5,0]
f_measure
0.8 [1,0.666667,0.666667]
f_measure
0.586667 [0.8,0.666667,0]
f_measure
0.366667 [0.666667,0,0.5]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.72 [1,0.8,0]
f_measure
0.72 [1,0.8,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.466667 [0.666667,0,1]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.266667 [0.666667,0,0]
f_measure
1 [1,1,1]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.453333 [0.8,0,0.666667]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.6 [0.666667,0.5,0.666667]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.266667 [0.666667,0,0]
f_measure
1 [1,1,1]
f_measure
0.5 [1,0,0.5]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.133333 [0,0.333333,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.72 [1,0.8,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.6 [0.666667,0.5,0.666667]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.6 [1,0.5,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.4 [0.666667,0,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.72 [0.8,1,0]
f_measure
0.333333 [0.5,0,0.666667]
f_measure
0.453333 [0.8,0,0.666667]
f_measure
0.426667 [0.666667,0.4,0]
f_measure
0.333333 [0.5,0,0.666667]
f_measure
0.453333 [0.8,0,0.666667]
f_measure
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f_measure
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f_measure
0.6 [0.666667,0.5,0]
f_measure
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f_measure
0.266667 [0.666667,0,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.72 [1,0.8,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.24 [0.4,0,0]
f_measure
0.342857 [0.571429,0,0]
f_measure
1 [1,1,0]
kappa
0.73913
kappa
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kappa
0.73913
kappa
0.428571
kappa
0.478261
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0.714286
kappa
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kappa
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0.642857
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0.6875
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1
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0.6875
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kappa
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kappa
1
kb_relative_information_score
3.505967
kb_relative_information_score
3.099465
kb_relative_information_score
2.947979
kb_relative_information_score
2.30486
kb_relative_information_score
1.769694
kb_relative_information_score
3.873709
kb_relative_information_score
-0.729872
kb_relative_information_score
0.847476
kb_relative_information_score
2.256699
kb_relative_information_score
0.729647
kb_relative_information_score
1.242506
kb_relative_information_score
3.145183
kb_relative_information_score
2.271965
kb_relative_information_score
2.427426
kb_relative_information_score
0.901985
kb_relative_information_score
0.656311
kb_relative_information_score
0.586206
kb_relative_information_score
2.448585
kb_relative_information_score
1.919229
kb_relative_information_score
4.210721
kb_relative_information_score
0.379917
kb_relative_information_score
0.828257
kb_relative_information_score
0.186863
kb_relative_information_score
1.206276
kb_relative_information_score
1.388231
kb_relative_information_score
2.009618
kb_relative_information_score
2.575193
kb_relative_information_score
1.923311
kb_relative_information_score
2.05676
kb_relative_information_score
2.145877
kb_relative_information_score
1.754071
kb_relative_information_score
1.521655
kb_relative_information_score
1.667497
kb_relative_information_score
0.241286
kb_relative_information_score
2.172745
kb_relative_information_score
2.363972
kb_relative_information_score
2.726089
kb_relative_information_score
2.545807
kb_relative_information_score
3.502118
kb_relative_information_score
1.800991
kb_relative_information_score
1.14333
kb_relative_information_score
1.459738
kb_relative_information_score
2.794119
kb_relative_information_score
2.647273
kb_relative_information_score
3.98334
kb_relative_information_score
3.358085
kb_relative_information_score
2.256631
kb_relative_information_score
0.26914
kb_relative_information_score
1.937351
kb_relative_information_score
1.537895
kb_relative_information_score
0.605726
kb_relative_information_score
3.839099
kb_relative_information_score
2.734752
kb_relative_information_score
2.169741
kb_relative_information_score
1.244107
kb_relative_information_score
1.558637
kb_relative_information_score
2.067998
kb_relative_information_score
2.799068
kb_relative_information_score
2.82947
kb_relative_information_score
2.882664
kb_relative_information_score
1.723646
kb_relative_information_score
4.245808
kb_relative_information_score
2.457915
kb_relative_information_score
1.536143
kb_relative_information_score
0.399343
kb_relative_information_score
1.58878
kb_relative_information_score
4.170515
kb_relative_information_score
4.137097
kb_relative_information_score
3.498726
kb_relative_information_score
3.077911
kb_relative_information_score
3.097838
kb_relative_information_score
2.151626
kb_relative_information_score
0.578535
kb_relative_information_score
1.536348
kb_relative_information_score
3.554764
kb_relative_information_score
3.877721
kb_relative_information_score
0.979134
kb_relative_information_score
3.289741
kb_relative_information_score
2.179828
kb_relative_information_score
2.891105
kb_relative_information_score
0.673817
kb_relative_information_score
0.654378
kb_relative_information_score
2.131756
kb_relative_information_score
0.408587
kb_relative_information_score
2.393983
kb_relative_information_score
-0.155505
kb_relative_information_score
1.285803
kb_relative_information_score
2.088861
kb_relative_information_score
-0.519936
kb_relative_information_score
-0.442993
kb_relative_information_score
2.110611
kb_relative_information_score
1.678406
kb_relative_information_score
-0.146888
kb_relative_information_score
3.035254
kb_relative_information_score
1.283447
kb_relative_information_score
2.868812
kb_relative_information_score
1.332771
kb_relative_information_score
-0.265684
kb_relative_information_score
0.701254
kb_relative_information_score
3.165055
mean_absolute_error
0.211392
mean_absolute_error
0.239862
mean_absolute_error
0.257385
mean_absolute_error
0.296309
mean_absolute_error
0.303568
mean_absolute_error
0.189698
mean_absolute_error
0.484606
mean_absolute_error
0.342044
mean_absolute_error
0.261451
mean_absolute_error
0.354027
mean_absolute_error
0.345547
mean_absolute_error
0.234461
mean_absolute_error
0.230708
mean_absolute_error
0.291099
mean_absolute_error
0.358005
mean_absolute_error
0.383733
mean_absolute_error
0.380557
mean_absolute_error
0.285592
mean_absolute_error
0.286241
mean_absolute_error
0.148933
mean_absolute_error
0.407603
mean_absolute_error
0.339149
mean_absolute_error
0.388091
mean_absolute_error
0.296269
mean_absolute_error
0.273508
mean_absolute_error
0.224547
mean_absolute_error
0.163255
mean_absolute_error
0.275734
mean_absolute_error
0.307821
mean_absolute_error
0.301496
mean_absolute_error
0.325418
mean_absolute_error
0.273168
mean_absolute_error
0.28494
mean_absolute_error
0.373587
mean_absolute_error
0.21222
mean_absolute_error
0.166016
mean_absolute_error
0.146411
mean_absolute_error
0.230485
mean_absolute_error
0.169298
mean_absolute_error
0.269986
mean_absolute_error
0.383559
mean_absolute_error
0.30288
mean_absolute_error
0.227162
mean_absolute_error
0.200835
mean_absolute_error
0.127822
mean_absolute_error
0.184681
mean_absolute_error
0.282855
mean_absolute_error
0.421073
mean_absolute_error
0.317543
mean_absolute_error
0.300139
mean_absolute_error
0.382528
mean_absolute_error
0.148344
mean_absolute_error
0.2411
mean_absolute_error
0.291794
mean_absolute_error
0.375345
mean_absolute_error
0.347694
mean_absolute_error
0.30319
mean_absolute_error
0.235723
mean_absolute_error
0.237548
mean_absolute_error
0.215516
mean_absolute_error
0.306629
mean_absolute_error
0.102324
mean_absolute_error
0.257452
mean_absolute_error
0.361984
mean_absolute_error
0.431246
mean_absolute_error
0.342159
mean_absolute_error
0.111327
mean_absolute_error
0.119841
mean_absolute_error
0.16936
mean_absolute_error
0.213075
mean_absolute_error
0.208513
mean_absolute_error
0.290279
mean_absolute_error
0.417188
mean_absolute_error
0.298522
mean_absolute_error
0.162447
mean_absolute_error
0.136445
mean_absolute_error
0.389077
mean_absolute_error
0.192965
mean_absolute_error
0.283859
mean_absolute_error
0.233164
mean_absolute_error
0.334671
mean_absolute_error
0.413522
mean_absolute_error
0.236444
mean_absolute_error
0.458062
mean_absolute_error
0.2661
mean_absolute_error
0.46405
mean_absolute_error
0.368369
mean_absolute_error
0.303858
mean_absolute_error
0.449716
mean_absolute_error
0.500074
mean_absolute_error
0.202121
mean_absolute_error
0.34387
mean_absolute_error
0.463612
mean_absolute_error
0.218171
mean_absolute_error
0.383498
mean_absolute_error
0.209162
mean_absolute_error
0.351519
mean_absolute_error
0.412888
mean_absolute_error
0.327183
mean_absolute_error
0.115556
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
precision
0.916667 [1,1,0.5]
precision
0.541667 [0.75,0.5,0]
precision
0.888889 [1,0.666667,1]
precision
0.555556 [0.666667,0.666667,0]
precision
0.722222 [0.666667,1,0]
precision
0.875 [1,0.75,1]
precision
0 [0,0,0]
precision
0.583333 [0.666667,0.5,0]
precision
0.541667 [0.75,0.5,0]
precision
0.583333 [0.666667,0.5,0]
precision
0.416667 [0.5,0.5,0]
precision
0.466667 [0.6,0,1]
precision
1 [1,1,0]
precision
0.75 [1,0.5,0.5]
precision
0.3 [0.6,0,0]
precision
0.375 [0.75,0,0]
precision
0.333333 [0.666667,0,0]
precision
0.444444 [0.666667,0.333333,0]
precision
0.541667 [0.75,0.5,0]
precision
0.916667 [1,1,0.5]
precision
0.266667 [0.666667,0,0]
precision
0.8 [1,0.5,0]
precision
0.733333 [1,0.333333,0]
precision
0.6 [0.666667,0.5,0]
precision
0.6 [0.666667,0.5,0]
precision
1 [1,1,0]
precision
0.85 [0.75,1,0]
precision
0.466667 [0.666667,0.5,0]
precision
0.466667 [1,0,0.333333]
precision
0.6 [0.5,0.5,1]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [0.666667,1,0]
precision
0.466667 [0.666667,0.5,0]
precision
0.733333 [1,0.333333,0]
precision
0.866667 [1,0.666667,0]
precision
0.36 [0.6,0,0]
precision
1 [1,1,0]
precision
0.6 [1,0.5,0]
precision
0.9 [1,1,0.5]
precision
0.666667 [0.666667,1,0]
precision
0.466667 [1,0,0.333333]
precision
0.466667 [0.666667,0.5,0]
precision
0.6 [0.5,0.5,1]
precision
0.666667 [1,0.666667,0]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
0.4 [0.5,0,1]
precision
0.333333 [0.5,0.333333,0]
precision
0.6 [0.5,0.5,1]
precision
0.466667 [0.666667,0.5,0]
precision
0.2 [0.5,0,0]
precision
1 [1,1,1]
precision
0.466667 [0.666667,0.5,0]
precision
0.366667 [0.666667,0,0.5]
precision
0.333333 [0.5,0.333333,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.7 [1,0.5,0.5]
precision
0.6 [1,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.466667 [0.666667,0.5,0]
precision
0.2 [0.5,0,0]
precision
1 [1,1,1]
precision
0.466667 [1,0,0.333333]
precision
0.6 [0.5,0.5,1]
precision
0.1 [0,0.25,0]
precision
0.333333 [0.5,0.333333,0]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
0.866667 [1,0.666667,1]
precision
0.7 [1,0.5,0.5]
precision
0.333333 [0.5,0.333333,0]
precision
0.6 [1,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.866667 [1,0.666667,1]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [1,0.666667,1]
precision
0.6 [1,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.4 [0.666667,0,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.666667 [0.666667,1,0]
precision
0.3 [0.5,0,0.5]
precision
0.366667 [0.666667,0,0.5]
precision
0.533333 [1,0.333333,0]
precision
0.3 [0.5,0,0.5]
precision
0.366667 [0.666667,0,0.5]
precision
0.133333 [0.333333,0,0]
precision
0 [0,0,0]
precision
0.6 [0.666667,0.5,0]
precision
0.7 [1,0.5,0.5]
precision
0.2 [0.5,0,0]
precision
0.866667 [0.666667,1,1]
precision
0.6 [0.5,0.5,1]
precision
0.666667 [1,0.666667,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.3 [0.5,0,0]
precision
0.3 [0.5,0,0]
precision
1 [1,1,0]
predictive_accuracy
0.833333
predictive_accuracy
0.666667
predictive_accuracy
0.833333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.833333
predictive_accuracy
0
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.333333
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
0.833333
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.2
predictive_accuracy
0.4
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.2
predictive_accuracy
0
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.2
predictive_accuracy
0.4
predictive_accuracy
1
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
recall
0.833333 [1,0.5,1]
recall
0.666667 [1,0.5,0]
recall
0.833333 [0.666667,1,1]
recall
0.666667 [1,0.666667,0]
recall
0.666667 [1,0.666667,0]
recall
0.833333 [0.5,1,1]
recall
0 [0,0,0]
recall
0.5 [0.666667,0.333333,0]
recall
0.666667 [1,0.5,0]
recall
0.5 [0.666667,0.333333,0]
recall
0.5 [0.5,0.666667,0]
recall
0.666667 [1,0,1]
recall
0.666667 [1,0.333333,0]
recall
0.666667 [0.666667,0.5,1]
recall
0.5 [1,0,0]
recall
0.5 [1,0,0]
recall
0.333333 [0.666667,0,0]
recall
0.5 [0.666667,0.5,0]
recall
0.666667 [1,0.5,0]
recall
0.833333 [1,0.5,1]
recall
0.4 [1,0,0]
recall
0.6 [0.666667,0.5,0]
recall
0.4 [0.333333,0.5,0]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [0.666667,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.6 [1,0,1]
recall
0.6 [0.5,0.5,1]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.666667,0]
recall
0.6 [1,0.5,0]
recall
0.4 [0.333333,0.5,0]
recall
0.8 [0.666667,1,0]
recall
0.6 [1,0,0]
recall
0.8 [1,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0,1]
recall
0.6 [1,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,1,0]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0,1]
recall
0.4 [0.5,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.4 [1,0,0]
recall
1 [1,1,1]
recall
0.6 [1,0.5,0]
recall
0.6 [1,0,1]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [0.5,1,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.4 [1,0,0]
recall
1 [1,1,1]
recall
0.6 [1,0,1]
recall
0.6 [0.5,0.5,1]
recall
0.2 [0,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.8 [0.5,1,1]
recall
0.6 [0.5,0.5,1]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.8 [0.5,1,1]
recall
0.4 [0.5,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.6 [0.5,1,0]
recall
0.8 [1,0.5,1]
recall
0.4 [0.666667,0,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,1,0]
recall
0.4 [0.5,0,1]
recall
0.6 [1,0,1]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.5,0,1]
recall
0.6 [1,0,1]
recall
0.2 [0.5,0,0]
recall
0 [0,0,0]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.4 [1,0,0]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,1,0]
recall
0.4 [0.5,0.5,0]
recall
0.2 [0.333333,0,0]
recall
0.4 [0.666667,0,0]
recall
1 [1,1,0]
relative_absolute_error
0.510433
relative_absolute_error
0.579179
relative_absolute_error
0.621491
relative_absolute_error
0.708566
relative_absolute_error
0.725925
relative_absolute_error
0.453626
relative_absolute_error
1.15884
relative_absolute_error
0.881832
relative_absolute_error
0.63131
relative_absolute_error
0.912725
relative_absolute_error
0.826308
relative_absolute_error
0.566137
relative_absolute_error
0.594793
relative_absolute_error
0.702897
relative_absolute_error
0.864451
relative_absolute_error
0.926575
relative_absolute_error
0.918907
relative_absolute_error
0.6896
relative_absolute_error
0.691167
relative_absolute_error
0.359619
relative_absolute_error
0.966301
relative_absolute_error
0.879866
relative_absolute_error
1.00684
relative_absolute_error
0.768624
relative_absolute_error
0.709573
relative_absolute_error
0.582552
relative_absolute_error
0.423539
relative_absolute_error
0.653681
relative_absolute_error
0.729749
relative_absolute_error
0.714752
relative_absolute_error
0.771466
relative_absolute_error
0.699887
relative_absolute_error
0.675504
relative_absolute_error
0.96921
relative_absolute_error
0.55057
relative_absolute_error
0.430702
relative_absolute_error
0.37984
relative_absolute_error
0.546407
relative_absolute_error
0.401352
relative_absolute_error
0.640053
relative_absolute_error
0.9093
relative_absolute_error
0.718034
relative_absolute_error
0.538532
relative_absolute_error
0.476117
relative_absolute_error
0.303025
relative_absolute_error
0.437822
relative_absolute_error
0.670561
relative_absolute_error
0.998235
relative_absolute_error
0.752796
relative_absolute_error
0.711537
relative_absolute_error
0.906854
relative_absolute_error
0.351679
relative_absolute_error
0.571574
relative_absolute_error
0.691754
relative_absolute_error
0.889826
relative_absolute_error
0.824273
relative_absolute_error
0.718769
relative_absolute_error
0.558827
relative_absolute_error
0.563153
relative_absolute_error
0.510922
relative_absolute_error
0.726922
relative_absolute_error
0.242579
relative_absolute_error
0.610338
relative_absolute_error
0.858152
relative_absolute_error
1.022349
relative_absolute_error
0.811152
relative_absolute_error
0.263921
relative_absolute_error
0.284105
relative_absolute_error
0.4015
relative_absolute_error
0.505135
relative_absolute_error
0.494319
relative_absolute_error
0.688161
relative_absolute_error
0.989023
relative_absolute_error
0.707703
relative_absolute_error
0.385113
relative_absolute_error
0.323469
relative_absolute_error
0.92238
relative_absolute_error
0.45746
relative_absolute_error
0.672942
relative_absolute_error
0.55276
relative_absolute_error
0.868251
relative_absolute_error
0.980333
relative_absolute_error
0.560536
relative_absolute_error
1.085924
relative_absolute_error
0.63084
relative_absolute_error
1.100119
relative_absolute_error
0.873289
relative_absolute_error
0.720353
relative_absolute_error
1.152223
relative_absolute_error
1.185519
relative_absolute_error
0.524371
relative_absolute_error
0.81521
relative_absolute_error
1.09908
relative_absolute_error
0.517215
relative_absolute_error
0.909154
relative_absolute_error
0.495858
relative_absolute_error
0.833343
relative_absolute_error
1.07117
relative_absolute_error
0.848823
relative_absolute_error
0.299793
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_squared_error
0.369685
root_mean_squared_error
0.401361
root_mean_squared_error
0.357524
root_mean_squared_error
0.439133
root_mean_squared_error
0.450467
root_mean_squared_error
0.322273
root_mean_squared_error
0.58583
root_mean_squared_error
0.517426
root_mean_squared_error
0.449038
root_mean_squared_error
0.557401
root_mean_squared_error
0.543533
root_mean_squared_error
0.393451
root_mean_squared_error
0.3233
root_mean_squared_error
0.476479
root_mean_squared_error
0.548471
root_mean_squared_error
0.569065
root_mean_squared_error
0.565603
root_mean_squared_error
0.457341
root_mean_squared_error
0.465994
root_mean_squared_error
0.3241
root_mean_squared_error
0.599857
root_mean_squared_error
0.526861
root_mean_squared_error
0.59115
root_mean_squared_error
0.449552
root_mean_squared_error
0.469594
root_mean_squared_error
0.391178
root_mean_squared_error
0.364629
root_mean_squared_error
0.469664
root_mean_squared_error
0.50456
root_mean_squared_error
0.459347
root_mean_squared_error
0.477546
root_mean_squared_error
0.419711
root_mean_squared_error
0.439951
root_mean_squared_error
0.508592
root_mean_squared_error
0.390772
root_mean_squared_error
0.317249
root_mean_squared_error
0.34989
root_mean_squared_error
0.434552
root_mean_squared_error
0.277687
root_mean_squared_error
0.392686
root_mean_squared_error
0.572166
root_mean_squared_error
0.450377
root_mean_squared_error
0.398935
root_mean_squared_error
0.342633
root_mean_squared_error
0.212826
root_mean_squared_error
0.358853
root_mean_squared_error
0.495739
root_mean_squared_error
0.565677
root_mean_squared_error
0.493865
root_mean_squared_error
0.494639
root_mean_squared_error
0.569954
root_mean_squared_error
0.218223
root_mean_squared_error
0.410736
root_mean_squared_error
0.469549
root_mean_squared_error
0.563981
root_mean_squared_error
0.553923
root_mean_squared_error
0.414572
root_mean_squared_error
0.412776
root_mean_squared_error
0.390286
root_mean_squared_error
0.364454
root_mean_squared_error
0.489552
root_mean_squared_error
0.188911
root_mean_squared_error
0.483214
root_mean_squared_error
0.526586
root_mean_squared_error
0.572441
root_mean_squared_error
0.489252
root_mean_squared_error
0.186376
root_mean_squared_error
0.17075
root_mean_squared_error
0.266486
root_mean_squared_error
0.352874
root_mean_squared_error
0.377598
root_mean_squared_error
0.455316
root_mean_squared_error
0.592159
root_mean_squared_error
0.451767
root_mean_squared_error
0.369423
root_mean_squared_error
0.233414
root_mean_squared_error
0.578162
root_mean_squared_error
0.30799
root_mean_squared_error
0.457826
root_mean_squared_error
0.399747
root_mean_squared_error
0.506788
root_mean_squared_error
0.56011
root_mean_squared_error
0.358097
root_mean_squared_error
0.643771
root_mean_squared_error
0.446464
root_mean_squared_error
0.597433
root_mean_squared_error
0.578484
root_mean_squared_error
0.511925
root_mean_squared_error
0.556117
root_mean_squared_error
0.615188
root_mean_squared_error
0.382665
root_mean_squared_error
0.533757
root_mean_squared_error
0.621948
root_mean_squared_error
0.389078
root_mean_squared_error
0.532374
root_mean_squared_error
0.322599
root_mean_squared_error
0.486216
root_mean_squared_error
0.570243
root_mean_squared_error
0.514752
root_mean_squared_error
0.201241
root_relative_squared_error
0.813452
root_relative_squared_error
0.88315
root_relative_squared_error
0.786692
root_relative_squared_error
0.956949
root_relative_squared_error
0.981649
root_relative_squared_error
0.702291
root_relative_squared_error
1.276628
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