365019
2
Joaquin Vanschoren
4654
Supervised Classification
predictive_accuracy
1168
weka.BayesNet_K2(6)
1921
weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
D
true
1168
Q
weka.classifiers.bayes.net.search.local.K2
1168
P
1
1169
S
BAYES
1169
weka
weka_3.7.12
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1264256
description
https://api.openml.org/data/download/1264256/weka_generated_run958086473482449881.xml
-1
1264259
model_readable
https://api.openml.org/data/download/1264259/WekaModel_weka.classifiers.bayes.BayesNet722492232208421154.model
-1
1264258
model_serialized
https://api.openml.org/data/download/1264258/WekaSerialized_weka.classifiers.bayes.BayesNet1514715130354135016.model
-1
1264257
predictions
https://api.openml.org/data/download/1264257/weka_generated_predictions5116528085349082374.arff
area_under_roc_curve
0.960967 [0.962658,0.959271,0.961003]
average_cost
0
f_measure
0.879509 [0.893572,0.863222,0.881919]
kappa
0.819008
kb_relative_information_score
1150.403129
mean_absolute_error
0.126951
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.88127 [0.923747,0.874743,0.847518]
predictive_accuracy
0.87947
prior_entropy
1.584538
recall
0.87947 [0.865306,0.852,0.919231]
relative_absolute_error
0.285725
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.252774
root_relative_squared_error
0.536297
scimark_benchmark
1324.788431 [806.3987766376875, 952.5234830366809, 514.7372203605465, 1068.2314605032516, 3282.0512143347632]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.707102 [0.836364,0.536364,0.741667]
area_under_roc_curve
0.994318 [0.981818,1,1]
area_under_roc_curve
0.909659 [1,0.890909,0.85]
area_under_roc_curve
0.914773 [0.818182,0.909091,1]
area_under_roc_curve
0.904545 [0.890909,0.963636,0.866667]
area_under_roc_curve
0.9375 [0.854545,0.945455,1]
area_under_roc_curve
0.908523 [0.818182,0.909091,0.983333]
area_under_roc_curve
0.927273 [0.927273,1,0.866667]
area_under_roc_curve
0.970455 [1,0.945455,0.966667]
area_under_roc_curve
0.953409 [1,0.890909,0.966667]
area_under_roc_curve
0.88 [0.82,0.86,0.96]
area_under_roc_curve
0.958249 [0.954545,1,0.925926]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.860337 [0.931818,0.88,0.796296]
area_under_roc_curve
0.986532 [0.977273,1,0.981481]
area_under_roc_curve
0.893333 [0.88,1,0.8]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.94 [1,0.86,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.897912 [0.772727,0.92,0.962963]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.96 [0.92,0.96,1]
area_under_roc_curve
0.9 [1,0.88,0.82]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.993333 [0.98,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.973333 [0.98,1,0.94]
area_under_roc_curve
0.926667 [0.86,0.92,1]
area_under_roc_curve
0.933333 [0.94,0.98,0.88]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.92 [0.92,1,0.84]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.92 [0.92,0.96,0.88]
area_under_roc_curve
0.906667 [0.88,0.86,0.98]
area_under_roc_curve
0.98 [1,0.98,0.96]
area_under_roc_curve
0.986667 [1,0.96,1]
area_under_roc_curve
0.993333 [1,0.99,0.99]
area_under_roc_curve
0.966667 [0.94,0.98,0.98]
area_under_roc_curve
0.98 [0.96,0.98,1]
area_under_roc_curve
0.94 [0.92,1,0.9]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.873333 [0.96,0.8,0.86]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.986667 [0.97,0.99,1]
area_under_roc_curve
0.973333 [1,0.96,0.96]
area_under_roc_curve
0.966667 [0.96,1,0.94]
area_under_roc_curve
0.9 [1,0.9,0.8]
area_under_roc_curve
0.993333 [0.98,1,1]
area_under_roc_curve
0.966667 [1,0.94,0.96]
area_under_roc_curve
0.92 [0.92,0.88,0.96]
area_under_roc_curve
0.993333 [0.98,1,1]
area_under_roc_curve
0.96 [1,0.9,0.98]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.96 [0.96,0.96,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [1,1,0.96]
area_under_roc_curve
0.973333 [0.98,0.94,1]
area_under_roc_curve
0.893333 [1,0.9,0.78]
area_under_roc_curve
0.966667 [1,0.94,0.96]
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
1 [1,1,1]
area_under_roc_curve
0.853333 [0.88,0.86,0.82]
area_under_roc_curve
0.966667 [1,0.94,0.96]
area_under_roc_curve
0.913333 [0.88,0.86,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.96 [0.98,0.92,0.98]
area_under_roc_curve
0.98 [1,0.96,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.946667 [0.94,0.98,0.92]
area_under_roc_curve
0.893333 [0.88,0.92,0.88]
area_under_roc_curve
0.96 [0.94,0.96,0.98]
area_under_roc_curve
0.913333 [0.9,1,0.84]
area_under_roc_curve
0.96 [1,0.88,1]
area_under_roc_curve
0.9 [0.82,0.92,0.96]
area_under_roc_curve
0.966667 [0.98,0.96,0.96]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
0.9 [0.84,0.9,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [0.98,0.98,1]
area_under_roc_curve
0.966667 [0.94,1,0.96]
area_under_roc_curve
0.973333 [1,0.94,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.973333 [0.96,1,0.96]
area_under_roc_curve
0.9 [0.86,0.88,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.946667 [0.94,0.9,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.96 [0.96,0.92,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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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
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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
average_cost
0
average_cost
0
f_measure
0.479349 [0.545455,0.25,0.615385]
f_measure
0.936432 [0.888889,1,0.923077]
f_measure
0.875 [1,0.8,0.833333]
f_measure
0.936869 [0.888889,0.909091,1]
f_measure
0.748718 [0.666667,0.769231,0.8]
f_measure
0.879104 [0.888889,0.833333,0.909091]
f_measure
0.805804 [0.75,0.8,0.857143]
f_measure
0.9375 [0.909091,1,0.909091]
f_measure
0.936432 [1,0.888889,0.923077]
f_measure
0.809295 [1,0.666667,0.769231]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.725926 [0.888889,0.666667,0.666667]
f_measure
0.931136 [0.857143,1,0.923077]
f_measure
0.866667 [0.8,1,0.8]
f_measure
0.792857 [0.75,0.75,0.857143]
f_measure
0.771284 [0.909091,0.571429,0.833333]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.8 [0.75,0.8,0.833333]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.861111 [0.75,0.833333,1]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
1 [1,1,1]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
1 [1,1,1]
f_measure
0.866667 [0.8,1,0.8]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.794444 [0.833333,0.8,0.75]
f_measure
1 [1,1,1]
f_measure
0.795455 [0.909091,0.75,0.727273]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.666667 [0.666667,0.666667,0.666667]
f_measure
0.805387 [0.888889,0.727273,0.8]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.794444 [0.75,0.833333,0.8]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
1 [1,1,1]
f_measure
0.655556 [0.8,0.5,0.666667]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.856061 [0.75,0.909091,0.909091]
f_measure
0.78022 [1,0.571429,0.769231]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.802707 [0.888889,0.769231,0.75]
f_measure
0.79798 [1,0.666667,0.727273]
f_measure
0.644444 [0.5,0.6,0.833333]
f_measure
0.802707 [0.888889,0.75,0.769231]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.861111 [1,0.75,0.833333]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.791919 [0.909091,0.666667,0.8]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.740741 [0.888889,0.666667,0.666667]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.795455 [0.727273,0.75,0.909091]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.87037 [0.888889,0.888889,0.833333]
f_measure
0.866667 [1,0.8,0.8]
f_measure
1 [1,1,1]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.805387 [0.8,0.888889,0.727273]
f_measure
0.856061 [0.75,0.909091,0.909091]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.719373 [0.888889,0.5,0.769231]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.87037 [0.888889,0.888889,0.833333]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.856061 [0.75,0.909091,0.909091]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.869986 [0.857143,0.833333,0.909091]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.856061 [0.75,0.909091,0.909091]
kappa
0.242604
kappa
0.905325
kappa
0.811765
kappa
0.905882
kappa
0.627907
kappa
0.812865
kappa
0.714286
kappa
0.906433
kappa
0.905325
kappa
0.715976
kappa
0.8
kappa
0.9
kappa
0.9
kappa
0.597315
kappa
0.89726
kappa
0.8
kappa
0.691781
kappa
0.7
kappa
0.9
kappa
0.695946
kappa
0.9
kappa
0.8
kappa
0.8
kappa
1
kappa
0.8
kappa
1
kappa
0.8
kappa
0.8
kappa
0.7
kappa
1
kappa
0.7
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0.9
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0.9
kappa
0.9
kappa
0.8
kappa
0.5
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0.7
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0.9
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0.9
kappa
0.9
kappa
0.7
kappa
0.9
kappa
0.9
kappa
0.9
kappa
1
kappa
0.5
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0.9
kappa
0.8
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0.7
kappa
0.9
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0.9
kappa
0.7
kappa
0.7
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0.5
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0.7
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0.8
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0.9
kappa
1
kappa
0.8
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0.9
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0.9
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0.8
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0.7
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1
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1
kappa
0.8
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0.9
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0.6
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0.7
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0.9
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0.8
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0.8
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0.7
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0.8
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0.8
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0.6
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0.8
kappa
0.9
kappa
0.9
kappa
1
kappa
0.9
kappa
0.8
kappa
1
kappa
1
kappa
0.797297
kappa
0.9
kappa
0.897959
kappa
0.897959
kappa
0.8
kb_relative_information_score
4.449948
kb_relative_information_score
13.035927
kb_relative_information_score
11.554267
kb_relative_information_score
12.123388
kb_relative_information_score
9.784213
kb_relative_information_score
11.514329
kb_relative_information_score
10.708815
kb_relative_information_score
13.053686
kb_relative_information_score
12.679623
kb_relative_information_score
11.615518
kb_relative_information_score
11.000158
kb_relative_information_score
12.624542
kb_relative_information_score
12.07114
kb_relative_information_score
8.989705
kb_relative_information_score
12.482209
kb_relative_information_score
9.735648
kb_relative_information_score
11.499114
kb_relative_information_score
10.243246
kb_relative_information_score
11.852532
kb_relative_information_score
10.295627
kb_relative_information_score
12.918521
kb_relative_information_score
11.570876
kb_relative_information_score
10.93164
kb_relative_information_score
13.838493
kb_relative_information_score
11.121092
kb_relative_information_score
13.128801
kb_relative_information_score
10.450957
kb_relative_information_score
11.039642
kb_relative_information_score
11.035335
kb_relative_information_score
14.134175
kb_relative_information_score
10.340088
kb_relative_information_score
12.864405
kb_relative_information_score
12.865092
kb_relative_information_score
11.788191
kb_relative_information_score
12.293226
kb_relative_information_score
8.228737
kb_relative_information_score
9.206115
kb_relative_information_score
12.448048
kb_relative_information_score
11.818445
kb_relative_information_score
11.462012
kb_relative_information_score
10.531688
kb_relative_information_score
11.492521
kb_relative_information_score
12.304244
kb_relative_information_score
12.419511
kb_relative_information_score
13.180654
kb_relative_information_score
7.896047
kb_relative_information_score
12.421066
kb_relative_information_score
11.662454
kb_relative_information_score
10.488378
kb_relative_information_score
10.915011
kb_relative_information_score
12.215733
kb_relative_information_score
10.420111
kb_relative_information_score
11.054544
kb_relative_information_score
8.800191
kb_relative_information_score
10.464452
kb_relative_information_score
10.677044
kb_relative_information_score
12.120423
kb_relative_information_score
13.462504
kb_relative_information_score
11.178129
kb_relative_information_score
13.257174
kb_relative_information_score
12.816386
kb_relative_information_score
11.634611
kb_relative_information_score
11.683236
kb_relative_information_score
9.969476
kb_relative_information_score
11.374466
kb_relative_information_score
13.854265
kb_relative_information_score
12.782775
kb_relative_information_score
12.199703
kb_relative_information_score
12.94344
kb_relative_information_score
8.770447
kb_relative_information_score
10.839494
kb_relative_information_score
10.798911
kb_relative_information_score
12.686015
kb_relative_information_score
10.747588
kb_relative_information_score
12.025279
kb_relative_information_score
13.387072
kb_relative_information_score
11.295049
kb_relative_information_score
9.866991
kb_relative_information_score
11.328005
kb_relative_information_score
10.804482
kb_relative_information_score
9.878056
kb_relative_information_score
10.473755
kb_relative_information_score
11.004901
kb_relative_information_score
12.318199
kb_relative_information_score
11.586335
kb_relative_information_score
13.04887
kb_relative_information_score
12.347888
kb_relative_information_score
11.533159
kb_relative_information_score
11.032623
kb_relative_information_score
11.90074
kb_relative_information_score
13.922759
kb_relative_information_score
12.113663
kb_relative_information_score
10.763834
kb_relative_information_score
13.627089
kb_relative_information_score
13.469776
kb_relative_information_score
11.835462
kb_relative_information_score
11.900537
kb_relative_information_score
11.505027
kb_relative_information_score
11.794968
kb_relative_information_score
10.778391
mean_absolute_error
0.355352
mean_absolute_error
0.1038
mean_absolute_error
0.152661
mean_absolute_error
0.139292
mean_absolute_error
0.19447
mean_absolute_error
0.152398
mean_absolute_error
0.168009
mean_absolute_error
0.101882
mean_absolute_error
0.113767
mean_absolute_error
0.139183
mean_absolute_error
0.142362
mean_absolute_error
0.085785
mean_absolute_error
0.106284
mean_absolute_error
0.203066
mean_absolute_error
0.088589
mean_absolute_error
0.186743
mean_absolute_error
0.11482
mean_absolute_error
0.17013
mean_absolute_error
0.114557
mean_absolute_error
0.155664
mean_absolute_error
0.077563
mean_absolute_error
0.121431
mean_absolute_error
0.146463
mean_absolute_error
0.051011
mean_absolute_error
0.139637
mean_absolute_error
0.07805
mean_absolute_error
0.158997
mean_absolute_error
0.136543
mean_absolute_error
0.136954
mean_absolute_error
0.040394
mean_absolute_error
0.159297
mean_absolute_error
0.078841
mean_absolute_error
0.079056
mean_absolute_error
0.11386
mean_absolute_error
0.102916
mean_absolute_error
0.218829
mean_absolute_error
0.200027
mean_absolute_error
0.095224
mean_absolute_error
0.116676
mean_absolute_error
0.12586
mean_absolute_error
0.153936
mean_absolute_error
0.131081
mean_absolute_error
0.103312
mean_absolute_error
0.09542
mean_absolute_error
0.079668
mean_absolute_error
0.232091
mean_absolute_error
0.096068
mean_absolute_error
0.114783
mean_absolute_error
0.151967
mean_absolute_error
0.148105
mean_absolute_error
0.104989
mean_absolute_error
0.157377
mean_absolute_error
0.129213
mean_absolute_error
0.201571
mean_absolute_error
0.150032
mean_absolute_error
0.161663
mean_absolute_error
0.106109
mean_absolute_error
0.065049
mean_absolute_error
0.13235
mean_absolute_error
0.067682
mean_absolute_error
0.085684
mean_absolute_error
0.11649
mean_absolute_error
0.119844
mean_absolute_error
0.173382
mean_absolute_error
0.12533
mean_absolute_error
0.051538
mean_absolute_error
0.086804
mean_absolute_error
0.095214
mean_absolute_error
0.079284
mean_absolute_error
0.213564
mean_absolute_error
0.154178
mean_absolute_error
0.154476
mean_absolute_error
0.085888
mean_absolute_error
0.150851
mean_absolute_error
0.108639
mean_absolute_error
0.070169
mean_absolute_error
0.129576
mean_absolute_error
0.178548
mean_absolute_error
0.127271
mean_absolute_error
0.15117
mean_absolute_error
0.170127
mean_absolute_error
0.157088
mean_absolute_error
0.140066
mean_absolute_error
0.089496
mean_absolute_error
0.118606
mean_absolute_error
0.069607
mean_absolute_error
0.100545
mean_absolute_error
0.115786
mean_absolute_error
0.136692
mean_absolute_error
0.116802
mean_absolute_error
0.044859
mean_absolute_error
0.108474
mean_absolute_error
0.150439
mean_absolute_error
0.061467
mean_absolute_error
0.067428
mean_absolute_error
0.106327
mean_absolute_error
0.112827
mean_absolute_error
0.131008
mean_absolute_error
0.119115
mean_absolute_error
0.148073
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
precision
0.474702 [0.5,0.333333,0.571429]
precision
0.946429 [1,1,0.857143]
precision
0.875 [1,0.8,0.833333]
precision
0.947917 [1,0.833333,1]
precision
0.804688 [0.75,0.625,1]
precision
0.910714 [1,0.714286,1]
precision
0.84375 [1,0.8,0.75]
precision
0.947917 [0.833333,1,1]
precision
0.946429 [1,1,0.857143]
precision
0.814732 [1,0.75,0.714286]
precision
0.877778 [1,0.8,0.833333]
precision
0.946667 [0.8,1,1]
precision
0.946667 [0.8,1,1]
precision
0.73 [0.8,0.75,0.666667]
precision
0.942857 [1,1,0.857143]
precision
0.866667 [0.8,1,0.8]
precision
0.833333 [0.75,1,0.75]
precision
0.849206 [0.833333,1,0.714286]
precision
0.944444 [0.833333,1,1]
precision
0.8 [0.75,0.8,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.904762 [1,0.714286,1]
precision
0.904762 [1,0.714286,1]
precision
1 [1,1,1]
precision
0.888889 [0.833333,1,0.833333]
precision
1 [1,1,1]
precision
0.866667 [0.8,1,0.8]
precision
0.877778 [1,0.8,0.833333]
precision
0.838095 [0.714286,0.8,1]
precision
1 [1,1,1]
precision
0.833333 [0.833333,1,0.666667]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,1,0.833333]
precision
0.877778 [1,0.8,0.833333]
precision
0.690476 [0.75,0.75,0.571429]
precision
0.822222 [1,0.666667,0.8]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.838095 [1,0.714286,0.8]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [0.833333,1,1]
precision
0.944444 [1,0.833333,1]
precision
1 [1,1,1]
precision
0.679365 [0.8,0.666667,0.571429]
precision
0.944444 [1,1,0.833333]
precision
0.888889 [1,0.833333,0.833333]
precision
0.875 [1,1,0.625]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.875 [1,0.625,1]
precision
0.805556 [1,0.75,0.666667]
precision
0.660317 [0.666667,0.6,0.714286]
precision
0.875 [1,1,0.625]
precision
0.888889 [0.833333,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.877778 [1,0.8,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [0.833333,1,1]
precision
0.904762 [1,1,0.714286]
precision
0.944444 [1,0.833333,1]
precision
0.794444 [0.833333,0.75,0.8]
precision
0.877778 [0.833333,1,0.8]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.77381 [1,0.75,0.571429]
precision
0.877778 [1,0.8,0.833333]
precision
0.833333 [0.666667,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.904762 [1,1,0.714286]
precision
0.866667 [1,0.8,0.8]
precision
1 [1,1,1]
precision
0.877778 [0.8,0.833333,1]
precision
0.822222 [0.8,1,0.666667]
precision
0.888889 [1,0.833333,0.833333]
precision
0.877778 [0.8,0.833333,1]
precision
0.763889 [1,0.666667,0.625]
precision
0.877778 [0.8,0.833333,1]
precision
0.904762 [1,1,0.714286]
precision
0.877778 [0.833333,1,0.8]
precision
0.877778 [1,0.8,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.888889 [1,0.833333,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.944444 [1,1,0.833333]
precision
0.877778 [1,0.8,0.833333]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,0.833333,1]
precision
0.888889 [1,0.833333,0.833333]
predictive_accuracy
0.5
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
0.9375
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.8125
predictive_accuracy
0.9375
predictive_accuracy
0.9375
predictive_accuracy
0.8125
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.666667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
recall
0.5 [0.6,0.2,0.666667]
recall
0.9375 [0.8,1,1]
recall
0.875 [1,0.8,0.833333]
recall
0.9375 [0.8,1,1]
recall
0.75 [0.6,1,0.666667]
recall
0.875 [0.8,1,0.833333]
recall
0.8125 [0.6,0.8,1]
recall
0.9375 [1,1,0.833333]
recall
0.9375 [1,0.8,1]
recall
0.8125 [1,0.6,0.833333]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,1,0.833333]
recall
0.933333 [1,1,0.833333]
recall
0.733333 [1,0.6,0.666667]
recall
0.933333 [0.75,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.75,0.6,1]
recall
0.8 [1,0.4,1]
recall
0.933333 [1,0.8,1]
recall
0.8 [0.75,0.8,0.833333]
recall
0.933333 [0.8,1,1]
recall
0.866667 [0.6,1,1]
recall
0.866667 [0.8,1,0.8]
recall
1 [1,1,1]
recall
0.866667 [1,0.6,1]
recall
1 [1,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.8 [1,0.8,0.6]
recall
1 [1,1,1]
recall
0.8 [1,0.6,0.8]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.8,1,1]
recall
0.933333 [1,0.8,1]
recall
0.866667 [0.8,0.8,1]
recall
0.666667 [0.6,0.6,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.933333 [1,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.8 [0.6,1,0.8]
recall
0.933333 [0.8,1,1]
recall
0.933333 [1,1,0.8]
recall
0.933333 [0.8,1,1]
recall
1 [1,1,1]
recall
0.666667 [0.8,0.4,0.8]
recall
0.933333 [1,0.8,1]
recall
0.866667 [0.6,1,1]
recall
0.8 [1,0.4,1]
recall
0.933333 [0.8,1,1]
recall
0.933333 [1,1,0.8]
recall
0.8 [0.8,1,0.6]
recall
0.8 [1,0.6,0.8]
recall
0.666667 [0.4,0.6,1]
recall
0.8 [0.8,0.6,1]
recall
0.866667 [1,0.6,1]
recall
0.933333 [1,0.8,1]
recall
1 [1,1,1]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [0.8,1,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,0.6,1]
recall
0.933333 [0.8,1,1]
recall
0.8 [1,0.6,0.8]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.733333 [0.8,0.6,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.8 [0.8,0.6,1]
recall
0.933333 [0.8,1,1]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [0.6,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.733333 [0.8,0.4,1]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.8,1,1]
recall
0.866667 [0.6,1,1]
recall
0.933333 [0.8,1,1]
recall
0.933333 [1,0.8,1]
recall
1 [1,1,1]
recall
0.933333 [0.8,1,1]
recall
0.866667 [0.8,0.8,1]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.866667 [0.75,1,0.833333]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.75,1,1]
recall
0.933333 [0.75,1,1]
recall
0.866667 [0.6,1,1]
relative_absolute_error
0.800354
relative_absolute_error
0.233787
relative_absolute_error
0.343835
relative_absolute_error
0.313725
relative_absolute_error
0.438003
relative_absolute_error
0.343245
relative_absolute_error
0.378405
relative_absolute_error
0.229466
relative_absolute_error
0.256235
relative_absolute_error
0.31348
relative_absolute_error
0.320315
relative_absolute_error
0.193392
relative_absolute_error
0.239607
relative_absolute_error
0.45779
relative_absolute_error
0.199714
relative_absolute_error
0.420172
relative_absolute_error
0.258849
relative_absolute_error
0.382791
relative_absolute_error
0.257754
relative_absolute_error
0.350928
relative_absolute_error
0.174517
relative_absolute_error
0.27322
relative_absolute_error
0.329541
relative_absolute_error
0.114776
relative_absolute_error
0.314183
relative_absolute_error
0.175613
relative_absolute_error
0.357743
relative_absolute_error
0.307223
relative_absolute_error
0.308146
relative_absolute_error
0.090887
relative_absolute_error
0.358418
relative_absolute_error
0.177393
relative_absolute_error
0.177875
relative_absolute_error
0.256184
relative_absolute_error
0.231562
relative_absolute_error
0.492365
relative_absolute_error
0.450061
relative_absolute_error
0.214253
relative_absolute_error
0.262521
relative_absolute_error
0.283185
relative_absolute_error
0.346355
relative_absolute_error
0.294932
relative_absolute_error
0.232451
relative_absolute_error
0.214695
relative_absolute_error
0.179253
relative_absolute_error
0.522204
relative_absolute_error
0.216153
relative_absolute_error
0.258262
relative_absolute_error
0.341925
relative_absolute_error
0.333237
relative_absolute_error
0.236224
relative_absolute_error
0.354098
relative_absolute_error
0.290729
relative_absolute_error
0.453535
relative_absolute_error
0.337573
relative_absolute_error
0.363742
relative_absolute_error
0.238746
relative_absolute_error
0.146361
relative_absolute_error
0.297787
relative_absolute_error
0.152284
relative_absolute_error
0.19279
relative_absolute_error
0.262102
relative_absolute_error
0.269649
relative_absolute_error
0.390109
relative_absolute_error
0.281993
relative_absolute_error
0.11596
relative_absolute_error
0.195309
relative_absolute_error
0.214231
relative_absolute_error
0.178389
relative_absolute_error
0.480519
relative_absolute_error
0.3469
relative_absolute_error
0.347571
relative_absolute_error
0.193248
relative_absolute_error
0.339415
relative_absolute_error
0.244437
relative_absolute_error
0.157881
relative_absolute_error
0.291546
relative_absolute_error
0.401734
relative_absolute_error
0.286361
relative_absolute_error
0.340133
relative_absolute_error
0.382786
relative_absolute_error
0.353447
relative_absolute_error
0.315148
relative_absolute_error
0.201365
relative_absolute_error
0.266862
relative_absolute_error
0.156615
relative_absolute_error
0.226226
relative_absolute_error
0.260519
relative_absolute_error
0.307557
relative_absolute_error
0.262804
relative_absolute_error
0.101131
relative_absolute_error
0.244066
relative_absolute_error
0.338489
relative_absolute_error
0.1383
relative_absolute_error
0.151714
relative_absolute_error
0.239702
relative_absolute_error
0.253861
relative_absolute_error
0.295343
relative_absolute_error
0.268532
relative_absolute_error
0.333164
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_squared_error
0.472114
root_mean_squared_error
0.212633
root_mean_squared_error
0.283906
root_mean_squared_error
0.249506
root_mean_squared_error
0.348069
root_mean_squared_error
0.273822
root_mean_squared_error
0.331099
root_mean_squared_error
0.235384
root_mean_squared_error
0.231126
root_mean_squared_error
0.299355
root_mean_squared_error
0.295515
root_mean_squared_error
0.225579
root_mean_squared_error
0.192443
root_mean_squared_error
0.373211
root_mean_squared_error
0.202891
root_mean_squared_error
0.317395
root_mean_squared_error
0.265126
root_mean_squared_error
0.293964
root_mean_squared_error
0.200361
root_mean_squared_error
0.317618
root_mean_squared_error
0.172656
root_mean_squared_error
0.25823
root_mean_squared_error
0.281281
root_mean_squared_error
0.0919
root_mean_squared_error
0.224723
root_mean_squared_error
0.138275
root_mean_squared_error
0.261323
root_mean_squared_error
0.289672
root_mean_squared_error
0.280269
root_mean_squared_error
0.05687
root_mean_squared_error
0.329483
root_mean_squared_error
0.202178
root_mean_squared_error
0.186238
root_mean_squared_error
0.215949
root_mean_squared_error
0.187803
root_mean_squared_error
0.376014
root_mean_squared_error
0.325056
root_mean_squared_error
0.20555
root_mean_squared_error
0.219514
root_mean_squared_error
0.230833
root_mean_squared_error
0.275462
root_mean_squared_error
0.23359
root_mean_squared_error
0.228508
root_mean_squared_error
0.191155
root_mean_squared_error
0.118233
root_mean_squared_error
0.386036
root_mean_squared_error
0.203976
root_mean_squared_error
0.241951
root_mean_squared_error
0.304234
root_mean_squared_error
0.252048
root_mean_squared_error
0.235851
root_mean_squared_error
0.275544
root_mean_squared_error
0.270653
root_mean_squared_error
0.366048
root_mean_squared_error
0.30927
root_mean_squared_error
0.264626
root_mean_squared_error
0.213506
root_mean_squared_error
0.117888
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