455876
2
Joaquin Vanschoren
4280
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
682
sleuth_ex2016
https://www.openml.org/data/download/52982/sleuth_ex2016.arff
-1
1600045
description
https://api.openml.org/data/download/1600045/weka_generated_run8933753686026586393.xml
-1
1600048
model_readable
https://api.openml.org/data/download/1600048/WekaModel_weka.classifiers.meta.FilteredClassifier5923180096613977402.model
-1
1600047
model_serialized
https://api.openml.org/data/download/1600047/WekaSerialized_weka.classifiers.meta.FilteredClassifier3584824977630854100.model
-1
1600046
predictions
https://api.openml.org/data/download/1600046/weka_generated_predictions5496323398249603555.arff
area_under_roc_curve
0.648568 [0.648568,0.648568]
average_cost
0
f_measure
0.705763 [0.742227,0.654105]
kappa
0.396762
kb_relative_information_score
176.214101
mean_absolute_error
0.399632
mean_prior_absolute_error
0.485471
number_of_instances
870 [510,360]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.70791 [0.759754,0.634465]
predictive_accuracy
0.704598
prior_entropy
0.979412
recall
0.704598 [0.72549,0.675]
relative_absolute_error
0.823185
root_mean_prior_squared_error
0.492516
root_mean_squared_error
0.456757
root_relative_squared_error
0.927396
scimark_benchmark
942.239177 [554.9604525776903, 1012.3220633477529, 479.7774192424144, 908.6447170417716, 1755.4912331040343]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.475 [0.475,0.475]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.566667 [0.566667,0.566667]
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
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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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
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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
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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0
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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
f_measure
0.396825 [0.714286,0]
f_measure
0.533333 [0.8,0]
f_measure
0.544444 [0.5,0.6]
f_measure
0.646154 [0.769231,0.4]
f_measure
0.882051 [0.923077,0.8]
f_measure
0.675325 [0.727273,0.571429]
f_measure
0.777778 [0.8,0.75]
f_measure
0.566667 [0.6,0.5]
f_measure
0.444444 [0.444444,0.444444]
f_measure
0.783333 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.772222 [0.75,0.8]
f_measure
0.777778 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.430014 [0.545455,0.285714]
f_measure
0.777778 [0.8,0.75]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.555556 [0.6,0.5]
f_measure
0.777778 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.772222 [0.75,0.8]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.396825 [0.714286,0]
f_measure
0.555556 [0.6,0.5]
f_measure
0.777778 [0.8,0.75]
f_measure
0.640693 [0.571429,0.727273]
f_measure
0.444444 [0.444444,0.444444]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.772222 [0.75,0.8]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.772222 [0.75,0.8]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.396825 [0.714286,0]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.555556 [0.6,0.5]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.544444 [0.5,0.6]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.544444 [0.5,0.6]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.777778 [0.8,0.75]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.481481 [0.333333,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.772222 [0.75,0.8]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.544444 [0.5,0.6]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.777778 [0.833333,0.666667]
f_measure
0.401154 [0.285714,0.545455]
f_measure
0.533333 [0.8,0]
f_measure
0.777778 [0.8,0.75]
f_measure
0.544444 [0.5,0.6]
f_measure
0.772222 [0.75,0.8]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.882051 [0.923077,0.8]
f_measure
0.640693 [0.571429,0.727273]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.75 [0.8,0.666667]
f_measure
0.708333 [0.833333,0.5]
f_measure
0.75 [0.8,0.666667]
f_measure
0.75 [0.75,0.75]
f_measure
0.75 [0.8,0.666667]
f_measure
0.75 [0.8,0.666667]
f_measure
0.480769 [0.769231,0]
f_measure
0.876984 [0.888889,0.857143]
f_measure
0.75 [0.8,0.666667]
f_measure
0.75 [0.8,0.666667]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.607143 [0.571429,0.666667]
f_measure
0.604545 [0.727273,0.4]
f_measure
0.876984 [0.888889,0.857143]
f_measure
0.708333 [0.833333,0.5]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.630952 [0.666667,0.571429]
f_measure
0.480769 [0.769231,0]
f_measure
0.75 [0.8,0.666667]
f_measure
0.868182 [0.909091,0.8]
f_measure
0.876984 [0.888889,0.857143]
f_measure
0.868182 [0.909091,0.8]
f_measure
0.75 [0.8,0.666667]
f_measure
0.480769 [0.769231,0]
f_measure
0.75 [0.75,0.75]
f_measure
0.5 [0.6,0.333333]
f_measure
0.75 [0.8,0.666667]
f_measure
0.75 [0.8,0.666667]
f_measure
0.604545 [0.727273,0.4]
kappa
0
kappa
0
kappa
0.142857
kappa
0.181818
kappa
0.727273
kappa
0.307692
kappa
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kappa
0.142857
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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0.372093
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0.384615
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kappa
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kappa
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kappa
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kb_relative_information_score
0.488366
kb_relative_information_score
1.50057
kb_relative_information_score
3.542852
kb_relative_information_score
1.415551
kb_relative_information_score
2.726113
kb_relative_information_score
0.204887
kb_relative_information_score
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kb_relative_information_score
2.441055
kb_relative_information_score
1.656298
kb_relative_information_score
2.726113
kb_relative_information_score
2.685894
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2.726113
kb_relative_information_score
1.656298
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
3.699576
kb_relative_information_score
0.515824
kb_relative_information_score
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kb_relative_information_score
1.656298
kb_relative_information_score
2.685894
kb_relative_information_score
3.644261
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.726113
kb_relative_information_score
1.626152
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.656298
kb_relative_information_score
1.692576
kb_relative_information_score
0.545517
kb_relative_information_score
2.685894
kb_relative_information_score
2.776305
kb_relative_information_score
0.013737
kb_relative_information_score
3.699576
kb_relative_information_score
1.199433
kb_relative_information_score
2.754675
kb_relative_information_score
0.515824
kb_relative_information_score
1.656298
kb_relative_information_score
2.776305
kb_relative_information_score
0.488366
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1.656298
kb_relative_information_score
0.488366
kb_relative_information_score
1.656298
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.656298
kb_relative_information_score
2.726113
kb_relative_information_score
0.462896
kb_relative_information_score
2.726113
kb_relative_information_score
2.685894
kb_relative_information_score
3.699576
kb_relative_information_score
1.692576
kb_relative_information_score
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kb_relative_information_score
2.110551
kb_relative_information_score
2.527713
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.726113
kb_relative_information_score
0.488366
kb_relative_information_score
2.685894
kb_relative_information_score
1.337004
kb_relative_information_score
3.644261
kb_relative_information_score
3.542852
kb_relative_information_score
1.626152
kb_relative_information_score
0.960657
kb_relative_information_score
2.091681
kb_relative_information_score
2.158916
kb_relative_information_score
2.091681
kb_relative_information_score
2.032644
kb_relative_information_score
2.091681
kb_relative_information_score
2.091681
kb_relative_information_score
-0.01408
kb_relative_information_score
3.055977
kb_relative_information_score
2.091681
kb_relative_information_score
2.091681
kb_relative_information_score
0.960657
kb_relative_information_score
0.909007
kb_relative_information_score
1.016446
kb_relative_information_score
3.055977
kb_relative_information_score
2.158916
kb_relative_information_score
0.960657
kb_relative_information_score
0.960657
kb_relative_information_score
-0.01408
kb_relative_information_score
2.091681
kb_relative_information_score
3.127319
kb_relative_information_score
3.055977
kb_relative_information_score
3.127319
kb_relative_information_score
2.091681
kb_relative_information_score
-0.01408
kb_relative_information_score
2.032644
kb_relative_information_score
-0.218079
kb_relative_information_score
2.091681
kb_relative_information_score
2.091681
kb_relative_information_score
1.016446
mean_absolute_error
0.490028
mean_absolute_error
0.474359
mean_absolute_error
0.465116
mean_absolute_error
0.393162
mean_absolute_error
0.304843
mean_absolute_error
0.398374
mean_absolute_error
0.365341
mean_absolute_error
0.452822
mean_absolute_error
0.521605
mean_absolute_error
0.354497
mean_absolute_error
0.412698
mean_absolute_error
0.365341
mean_absolute_error
0.36818
mean_absolute_error
0.365341
mean_absolute_error
0.412698
mean_absolute_error
0.520468
mean_absolute_error
0.365341
mean_absolute_error
0.322807
mean_absolute_error
0.463415
mean_absolute_error
0.365341
mean_absolute_error
0.412698
mean_absolute_error
0.36818
mean_absolute_error
0.32672
mean_absolute_error
0.490028
mean_absolute_error
0.463415
mean_absolute_error
0.365341
mean_absolute_error
0.414735
mean_absolute_error
0.521605
mean_absolute_error
0.412698
mean_absolute_error
0.36818
mean_absolute_error
0.412698
mean_absolute_error
0.410234
mean_absolute_error
0.461538
mean_absolute_error
0.36818
mean_absolute_error
0.361823
mean_absolute_error
0.490028
mean_absolute_error
0.322807
mean_absolute_error
0.439634
mean_absolute_error
0.374026
mean_absolute_error
0.463415
mean_absolute_error
0.412698
mean_absolute_error
0.361823
mean_absolute_error
0.465116
mean_absolute_error
0.412698
mean_absolute_error
0.465116
mean_absolute_error
0.412698
mean_absolute_error
0.365341
mean_absolute_error
0.32672
mean_absolute_error
0.365341
mean_absolute_error
0.32672
mean_absolute_error
0.412698
mean_absolute_error
0.412698
mean_absolute_error
0.365341
mean_absolute_error
0.466667
mean_absolute_error
0.365341
mean_absolute_error
0.36818
mean_absolute_error
0.322807
mean_absolute_error
0.410234
mean_absolute_error
0.465116
mean_absolute_error
0.405405
mean_absolute_error
0.349123
mean_absolute_error
0.522876
mean_absolute_error
0.474359
mean_absolute_error
0.365341
mean_absolute_error
0.465116
mean_absolute_error
0.36818
mean_absolute_error
0.403101
mean_absolute_error
0.32672
mean_absolute_error
0.304843
mean_absolute_error
0.414735
mean_absolute_error
0.422619
mean_absolute_error
0.365934
mean_absolute_error
0.361058
mean_absolute_error
0.365934
mean_absolute_error
0.370155
mean_absolute_error
0.365934
mean_absolute_error
0.365934
mean_absolute_error
0.479431
mean_absolute_error
0.319981
mean_absolute_error
0.365934
mean_absolute_error
0.365934
mean_absolute_error
0.422619
mean_absolute_error
0.426136
mean_absolute_error
0.41875
mean_absolute_error
0.319981
mean_absolute_error
0.361058
mean_absolute_error
0.422619
mean_absolute_error
0.422619
mean_absolute_error
0.47943
mean_absolute_error
0.365934
mean_absolute_error
0.314744
mean_absolute_error
0.319981
mean_absolute_error
0.314744
mean_absolute_error
0.365934
mean_absolute_error
0.479431
mean_absolute_error
0.370155
mean_absolute_error
0.481868
mean_absolute_error
0.365934
mean_absolute_error
0.365934
mean_absolute_error
0.41875
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
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0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [6,3]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
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9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
precision
0.308642 [0.555556,0]
precision
0.444444 [0.666667,0]
precision
0.592593 [0.666667,0.5]
precision
0.642857 [0.714286,0.5]
precision
0.904762 [0.857143,1]
precision
0.7 [0.8,0.5]
precision
0.777778 [0.8,0.75]
precision
0.633333 [0.75,0.4]
precision
0.455556 [0.5,0.4]
precision
0.866667 [1,0.6]
precision
0.683333 [0.75,0.6]
precision
0.777778 [0.8,0.75]
precision
0.851852 [1,0.666667]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.425926 [0.5,0.333333]
precision
0.777778 [0.8,0.75]
precision
0.907407 [0.833333,1]
precision
0.555556 [0.6,0.5]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.851852 [1,0.666667]
precision
0.911111 [1,0.8]
precision
0.308642 [0.555556,0]
precision
0.555556 [0.6,0.5]
precision
0.777778 [0.8,0.75]
precision
0.809524 [1,0.571429]
precision
0.455556 [0.5,0.4]
precision
0.683333 [0.75,0.6]
precision
0.851852 [1,0.666667]
precision
0.683333 [0.75,0.6]
precision
0.666667 [0.666667,0.666667]
precision
0.539683 [0.571429,0.5]
precision
0.851852 [1,0.666667]
precision
0.84127 [0.714286,1]
precision
0.308642 [0.555556,0]
precision
0.907407 [0.833333,1]
precision
0.683333 [0.75,0.6]
precision
0.911111 [1,0.8]
precision
0.555556 [0.6,0.5]
precision
0.683333 [0.75,0.6]
precision
0.84127 [0.714286,1]
precision
0.592593 [0.666667,0.5]
precision
0.683333 [0.75,0.6]
precision
0.592593 [0.666667,0.5]
precision
0.683333 [0.75,0.6]
precision
0.777778 [0.8,0.75]
precision
0.911111 [1,0.8]
precision
0.777778 [0.8,0.75]
precision
0.911111 [1,0.8]
precision
0.683333 [0.75,0.6]
precision
0.683333 [0.75,0.6]
precision
0.777778 [0.8,0.75]
precision
0.777778 [1,0.5]
precision
0.777778 [0.8,0.75]
precision
0.851852 [1,0.666667]
precision
0.907407 [0.833333,1]
precision
0.666667 [0.666667,0.666667]
precision
0.592593 [0.666667,0.5]
precision
0.84127 [0.714286,1]
precision
0.777778 [0.833333,0.666667]
precision
0.468254 [0.5,0.428571]
precision
0.444444 [0.666667,0]
precision
0.777778 [0.8,0.75]
precision
0.592593 [0.666667,0.5]
precision
0.851852 [1,0.666667]
precision
0.833333 [1,0.5]
precision
0.911111 [1,0.8]
precision
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precision
0.809524 [1,0.571429]
precision
0.65625 [0.75,0.5]
precision
0.75 [0.8,0.666667]
precision
0.821429 [0.714286,1]
precision
0.75 [0.8,0.666667]
precision
0.85 [1,0.6]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
0.390625 [0.625,0]
precision
0.90625 [1,0.75]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
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precision
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precision
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precision
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precision
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precision
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precision
0.390625 [0.625,0]
precision
0.75 [0.8,0.666667]
precision
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precision
0.90625 [1,0.75]
precision
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precision
0.75 [0.8,0.666667]
precision
0.390625 [0.625,0]
precision
0.85 [1,0.6]
precision
0.5 [0.6,0.333333]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
0.604167 [0.666667,0.5]
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predictive_accuracy
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predictive_accuracy
0.75
predictive_accuracy
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predictive_accuracy
0.75
predictive_accuracy
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predictive_accuracy
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0.75
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predictive_accuracy
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predictive_accuracy
0.75
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0.875
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0.875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
recall
0.555556 [1,0]
recall
0.666667 [1,0]
recall
0.555556 [0.4,0.75]
recall
0.666667 [0.833333,0.333333]
recall
0.888889 [1,0.666667]
recall
0.666667 [0.666667,0.666667]
recall
0.777778 [0.8,0.75]
recall
0.555556 [0.5,0.666667]
recall
0.444444 [0.4,0.5]
recall
0.777778 [0.666667,1]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.8,0.75]
recall
0.777778 [0.6,1]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.444444 [0.6,0.25]
recall
0.777778 [0.8,0.75]
recall
0.888889 [1,0.75]
recall
0.555556 [0.6,0.5]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.6,1]
recall
0.888889 [0.8,1]
recall
0.555556 [1,0]
recall
0.555556 [0.6,0.5]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.4,1]
recall
0.444444 [0.4,0.5]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.6,1]
recall
0.666667 [0.6,0.75]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.8,0.25]
recall
0.777778 [0.6,1]
recall
0.777778 [1,0.5]
recall
0.555556 [1,0]
recall
0.888889 [1,0.75]
recall
0.666667 [0.6,0.75]
recall
0.888889 [0.8,1]
recall
0.555556 [0.6,0.5]
recall
0.666667 [0.6,0.75]
recall
0.777778 [1,0.5]
recall
0.555556 [0.4,0.75]
recall
0.666667 [0.6,0.75]
recall
0.555556 [0.4,0.75]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.8,0.75]
recall
0.888889 [0.8,1]
recall
0.777778 [0.8,0.75]
recall
0.888889 [0.8,1]
recall
0.666667 [0.6,0.75]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.8,0.75]
recall
0.555556 [0.2,1]
recall
0.777778 [0.8,0.75]
recall
0.777778 [0.6,1]
recall
0.888889 [1,0.75]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.4,0.75]
recall
0.777778 [1,0.5]
recall
0.777778 [0.833333,0.666667]
recall
0.444444 [0.2,0.75]
recall
0.666667 [1,0]
recall
0.777778 [0.8,0.75]
recall
0.555556 [0.4,0.75]
recall
0.777778 [0.6,1]
recall
0.666667 [0.5,1]
recall
0.888889 [0.8,1]
recall
0.888889 [1,0.666667]
recall
0.666667 [0.4,1]
recall
0.625 [0.6,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.75 [1,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.6,1]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [1,0]
recall
0.875 [0.8,1]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.4,1]
recall
0.625 [0.8,0.333333]
recall
0.875 [0.8,1]
recall
0.75 [1,0.333333]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.625 [1,0]
recall
0.75 [0.8,0.666667]
recall
0.875 [1,0.666667]
recall
0.875 [0.8,1]
recall
0.875 [1,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [1,0]
recall
0.75 [0.6,1]
recall
0.5 [0.6,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.8,0.333333]
relative_absolute_error
0.99876
relative_absolute_error
1.005189
relative_absolute_error
0.947985
relative_absolute_error
0.83313
relative_absolute_error
0.645977
relative_absolute_error
0.844173
relative_absolute_error
0.744626
relative_absolute_error
0.959551
relative_absolute_error
1.063118
relative_absolute_error
0.751197
relative_absolute_error
0.841149
relative_absolute_error
0.744626
relative_absolute_error
0.750413
relative_absolute_error
0.744626
relative_absolute_error
0.841149
relative_absolute_error
1.060801
relative_absolute_error
0.744626
relative_absolute_error
0.657935
relative_absolute_error
0.944517
relative_absolute_error
0.744626
relative_absolute_error
0.841149
relative_absolute_error
0.750413
relative_absolute_error
0.66591
relative_absolute_error
0.99876
relative_absolute_error
0.944517
relative_absolute_error
0.744626
relative_absolute_error
0.8453
relative_absolute_error
1.063118
relative_absolute_error
0.841149
relative_absolute_error
0.750413
relative_absolute_error
0.841149
relative_absolute_error
0.836126
relative_absolute_error
0.940693
relative_absolute_error
0.750413
relative_absolute_error
0.737456
relative_absolute_error
0.99876
relative_absolute_error
0.657935
relative_absolute_error
0.896049
relative_absolute_error
0.762328
relative_absolute_error
0.944517
relative_absolute_error
0.841149
relative_absolute_error
0.737456
relative_absolute_error
0.947985
relative_absolute_error
0.841149
relative_absolute_error
0.947985
relative_absolute_error
0.841149
relative_absolute_error
0.744626
relative_absolute_error
0.66591
relative_absolute_error
0.744626
relative_absolute_error
0.66591
relative_absolute_error
0.841149
relative_absolute_error
0.841149
relative_absolute_error
0.744626
relative_absolute_error
0.951145
relative_absolute_error
0.744626
relative_absolute_error
0.750413
relative_absolute_error
0.657935
relative_absolute_error
0.836126
relative_absolute_error
0.947985
relative_absolute_error
0.826284
relative_absolute_error
0.739808
relative_absolute_error
1.065709
relative_absolute_error
1.005189
relative_absolute_error
0.744626
relative_absolute_error
0.947985
relative_absolute_error
0.750413
relative_absolute_error
0.85419
relative_absolute_error
0.66591
relative_absolute_error
0.645977
relative_absolute_error
0.8453
relative_absolute_error
0.882419
relative_absolute_error
0.764061
relative_absolute_error
0.75388
relative_absolute_error
0.764061
relative_absolute_error
0.772875
relative_absolute_error
0.764061
relative_absolute_error
0.764061
relative_absolute_error
1.00104
relative_absolute_error
0.668112
relative_absolute_error
0.764061
relative_absolute_error
0.764061
relative_absolute_error
0.882419
relative_absolute_error
0.889762
relative_absolute_error
0.87434
relative_absolute_error
0.668112
relative_absolute_error
0.75388
relative_absolute_error
0.882419
relative_absolute_error
0.882419
relative_absolute_error
1.00104
relative_absolute_error
0.764061
relative_absolute_error
0.657177
relative_absolute_error
0.668112
relative_absolute_error
0.657177
relative_absolute_error
0.764061
relative_absolute_error
1.00104
relative_absolute_error
0.772875
relative_absolute_error
1.006129
relative_absolute_error
0.764061
relative_absolute_error
0.764061
relative_absolute_error
0.87434
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_squared_error
0.498079
root_mean_squared_error
0.479871
root_mean_squared_error
0.520543
root_mean_squared_error
0.478785
root_mean_squared_error
0.356216
root_mean_squared_error
0.462309
root_mean_squared_error
0.420477
root_mean_squared_error
0.516146
root_mean_squared_error
0.584801
root_mean_squared_error
0.395235
root_mean_squared_error
0.469798
root_mean_squared_error
0.420477
root_mean_squared_error
0.403499
root_mean_squared_error
0.420477
root_mean_squared_error
0.469798
root_mean_squared_error
0.602865
root_mean_squared_error
0.420477
root_mean_squared_error
0.372261
root_mean_squared_error
0.536063
root_mean_squared_error
0.420477
root_mean_squared_error
0.469798
root_mean_squared_error
0.403499
root_mean_squared_error
0.351735
root_mean_squared_error
0.498079
root_mean_squared_error
0.536063
root_mean_squared_error
0.420477
root_mean_squared_error
0.45646
root_mean_squared_error
0.584801
root_mean_squared_error
0.469798
root_mean_squared_error
0.403499
root_mean_squared_error
0.469798
root_mean_squared_error
0.488836
root_mean_squared_error
0.55759
root_mean_squared_error
0.403499
root_mean_squared_error
0.44288
root_mean_squared_error
0.498079
root_mean_squared_error
0.372261
root_mean_squared_error
0.512987
root_mean_squared_error
0.42819
root_mean_squared_error
0.536063
root_mean_squared_error
0.469798
root_mean_squared_error
0.44288
root_mean_squared_error
0.520543
root_mean_squared_error
0.469798
root_mean_squared_error
0.520543
root_mean_squared_error
0.469798
root_mean_squared_error
0.420477
root_mean_squared_error
0.351735
root_mean_squared_error
0.420477
root_mean_squared_error
0.351735
root_mean_squared_error
0.469798
root_mean_squared_error
0.469798
root_mean_squared_error
0.420477
root_mean_squared_error
0.511031
root_mean_squared_error
0.420477
root_mean_squared_error
0.403499
root_mean_squared_error
0.372261
root_mean_squared_error
0.488836
root_mean_squared_error
0.520543
root_mean_squared_error
0.522852
root_mean_squared_error
0.409186
root_mean_squared_error
0.573011
root_mean_squared_error
0.479871
root_mean_squared_error
0.420477
root_mean_squared_error
0.520543
root_mean_squared_error
0.403499
root_mean_squared_error
0.451954
root_mean_squared_error
0.351735
root_mean_squared_error
0.356216
root_mean_squared_error
0.45646
root_mean_squared_error
0.48575
root_mean_squared_error
0.428225
root_mean_squared_error
0.451395
root_mean_squared_error
0.428225
root_mean_squared_error
0.411346
root_mean_squared_error
0.428225
root_mean_squared_error
0.428225
root_mean_squared_error
0.486004
root_mean_squared_error
0.349063
root_mean_squared_error
0.428225
root_mean_squared_error
0.428225
root_mean_squared_error
0.48575
root_mean_squared_error
0.473104
root_mean_squared_error
0.504889
root_mean_squared_error
0.349063
root_mean_squared_error
0.451395
root_mean_squared_error
0.48575
root_mean_squared_error
0.48575
root_mean_squared_error
0.486004
root_mean_squared_error
0.428225
root_mean_squared_error
0.370426
root_mean_squared_error
0.349063
root_mean_squared_error
0.370426
root_mean_squared_error
0.428225
root_mean_squared_error
0.486004
root_mean_squared_error
0.411346
root_mean_squared_error
0.558886
root_mean_squared_error
0.428225
root_mean_squared_error
0.428225
root_mean_squared_error
0.504889
root_relative_squared_error
1.000695
root_relative_squared_error
1.002757
root_relative_squared_error
1.045828
root_relative_squared_error
1.000488
root_relative_squared_error
0.744364
root_relative_squared_error
0.966059
root_relative_squared_error
0.844784
root_relative_squared_error
1.078559
root_relative_squared_error
1.174929
root_relative_squared_error
0.825899
root_relative_squared_error
0.943876
root_relative_squared_error
0.844784
root_relative_squared_error
0.810673
root_relative_squared_error
0.844784
root_relative_squared_error
0.943876
root_relative_squared_error
1.211221
root_relative_squared_error
0.844784
root_relative_squared_error
0.747912
root_relative_squared_error
1.077008
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