448595
2
Joaquin Vanschoren
1915
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
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
1572913
description
https://api.openml.org/data/download/1572913/weka_generated_run8720484501381158417.xml
-1
1572916
model_readable
https://api.openml.org/data/download/1572916/WekaModel_weka.classifiers.bayes.BayesNet8394808461193753537.model
-1
1572915
model_serialized
https://api.openml.org/data/download/1572915/WekaSerialized_weka.classifiers.bayes.BayesNet3175532136862802521.model
-1
1572914
predictions
https://api.openml.org/data/download/1572914/weka_generated_predictions2078788535185763687.arff
area_under_roc_curve
0.999541 [1,0.998592,1,0.998325,1,1]
average_cost
0
f_measure
0.979291 [1,0.935484,1,0.925636,1,1]
kappa
0.974016
kb_relative_information_score
3569.074362
mean_absolute_error
0.008332
mean_prior_absolute_error
0.266447
number_of_instances
3660 [1120,610,720,490,520,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.980164 [1,0.97007,1,0.889098,1,1]
predictive_accuracy
0.979235
prior_entropy
2.437791
recall
0.979235 [1,0.903279,1,0.965306,1,1]
relative_absolute_error
0.031271
root_mean_prior_squared_error
0.364873
root_mean_squared_error
0.066407
root_relative_squared_error
0.182
scimark_benchmark
930.404046 [552.1496309692806, 999.7172495283804, 467.86139427096174, 904.5686674515777, 1727.7232870185824]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998284 [1,0.994624,1,0.99375,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.993134 [1,0.978495,1,0.975,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998284 [1,0.994624,1,0.99375,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.996567 [1,0.989247,1,0.9875,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998284 [1,0.994624,1,0.99375,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998284 [1,0.994624,1,0.99375,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998255 [1,0.995238,1,0.99375,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998206 [1,0.994444,1,0.992188,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998178 [1,0.994444,1,0.993548,1,1]
area_under_roc_curve
0.992712 [1,0.977778,1,0.974194,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998178 [1,0.994444,1,0.993548,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.994534 [1,0.983333,1,0.980645,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998178 [1,0.994444,1,0.993548,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.996356 [1,0.988889,1,0.987097,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.998178 [1,0.994444,1,0.993548,1,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.973435 [1,0.923077,1,0.888889,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.945045 [1,0.8,1,0.833333,1,1]
f_measure
0.945946 [1,0.833333,1,0.8,1,1]
f_measure
0.973435 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.917533 [1,0.769231,1,0.666667,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.945045 [1,0.8,1,0.833333,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.914761 [1,0.666667,1,0.769231,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.972372 [1,0.933333,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.945946 [1,0.833333,1,0.833333,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
0.945946 [1,0.833333,1,0.833333,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972511 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972973 [1,0.909091,1,0.909091,1,1]
f_measure
0.945946 [1,0.833333,1,0.833333,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972697 [1,0.923077,1,0.888889,1,1]
f_measure
0.972503 [1,0.909091,1,0.888889,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.943519 [1,0.8,1,0.833333,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.971747 [1,0.923077,1,0.888889,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.915242 [1,0.769231,1,0.666667,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.943519 [1,0.8,1,0.833333,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.943519 [1,0.8,1,0.833333,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.943519 [1,0.8,1,0.833333,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.971747 [1,0.923077,1,0.888889,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.972222 [1,0.909091,1,0.909091,1,1]
f_measure
0.944444 [1,0.833333,1,0.8,1,1]
kappa
0.966333
kappa
1
kappa
1
kappa
1
kappa
0.96621
kappa
1
kappa
0.965899
kappa
0.965961
kappa
1
kappa
1
kappa
1
kappa
0.931985
kappa
0.932605
kappa
0.965899
kappa
1
kappa
0.96621
kappa
1
kappa
0.965899
kappa
0.965961
kappa
0.965961
kappa
0.966148
kappa
1
kappa
1
kappa
0.96621
kappa
0.898815
kappa
0.966333
kappa
0.966272
kappa
1
kappa
0.966272
kappa
1
kappa
1
kappa
1
kappa
1
kappa
0.966148
kappa
0.966333
kappa
0.966333
kappa
1
kappa
1
kappa
0.966272
kappa
1
kappa
0.931985
kappa
0.966333
kappa
0.96621
kappa
1
kappa
1
kappa
1
kappa
0.898815
kappa
0.966333
kappa
0.966179
kappa
1
kappa
0.932727
kappa
0.966272
kappa
0.932727
kappa
0.966333
kappa
1
kappa
0.965899
kappa
1
kappa
1
kappa
0.96621
kappa
0.932727
kappa
0.965284
kappa
0.965284
kappa
1
kappa
0.965284
kappa
1
kappa
0.965284
kappa
1
kappa
0.965217
kappa
0.965116
kappa
0.965284
kappa
1
kappa
0.965284
kappa
0.930636
kappa
1
kappa
0.965284
kappa
0.965217
kappa
1
kappa
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kappa
0.965284
kappa
1
kappa
0.895652
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1
kappa
1
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
1
kappa
1
kappa
1
kappa
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kappa
0.930636
kappa
1
kappa
0.965217
kappa
0.965284
kappa
1
kappa
0.965284
kappa
0.930502
kb_relative_information_score
36.267961
kb_relative_information_score
36.552553
kb_relative_information_score
36.929107
kb_relative_information_score
36.299531
kb_relative_information_score
36.125854
kb_relative_information_score
36.904918
kb_relative_information_score
35.027007
kb_relative_information_score
35.898653
kb_relative_information_score
36.567942
kb_relative_information_score
36.126049
kb_relative_information_score
36.604929
kb_relative_information_score
34.081189
kb_relative_information_score
35.478443
kb_relative_information_score
35.990516
kb_relative_information_score
36.893124
kb_relative_information_score
35.59123
kb_relative_information_score
36.452831
kb_relative_information_score
35.65323
kb_relative_information_score
36.018846
kb_relative_information_score
35.712179
kb_relative_information_score
35.727316
kb_relative_information_score
36.855717
kb_relative_information_score
36.430125
kb_relative_information_score
36.368451
kb_relative_information_score
34.293647
kb_relative_information_score
35.908803
kb_relative_information_score
35.89371
kb_relative_information_score
36.810617
kb_relative_information_score
36.508
kb_relative_information_score
36.693873
kb_relative_information_score
36.348724
kb_relative_information_score
36.50895
kb_relative_information_score
36.242436
kb_relative_information_score
35.47381
kb_relative_information_score
36.201611
kb_relative_information_score
35.962047
kb_relative_information_score
36.911305
kb_relative_information_score
36.778003
kb_relative_information_score
36.224651
kb_relative_information_score
36.291926
kb_relative_information_score
35.282854
kb_relative_information_score
35.489461
kb_relative_information_score
36.209007
kb_relative_information_score
36.919628
kb_relative_information_score
36.570084
kb_relative_information_score
36.347135
kb_relative_information_score
33.859242
kb_relative_information_score
36.127963
kb_relative_information_score
36.175796
kb_relative_information_score
37.105255
kb_relative_information_score
35.548141
kb_relative_information_score
35.787114
kb_relative_information_score
35.702104
kb_relative_information_score
35.845685
kb_relative_information_score
36.385559
kb_relative_information_score
35.841304
kb_relative_information_score
36.765514
kb_relative_information_score
36.700233
kb_relative_information_score
36.063441
kb_relative_information_score
35.178239
kb_relative_information_score
35.183554
kb_relative_information_score
35.234873
kb_relative_information_score
35.529676
kb_relative_information_score
35.296309
kb_relative_information_score
35.542594
kb_relative_information_score
35.303791
kb_relative_information_score
35.864214
kb_relative_information_score
35.000556
kb_relative_information_score
34.451619
kb_relative_information_score
35.13764
kb_relative_information_score
35.810025
kb_relative_information_score
34.766259
kb_relative_information_score
33.401244
kb_relative_information_score
35.721179
kb_relative_information_score
33.628713
kb_relative_information_score
35.212237
kb_relative_information_score
35.372806
kb_relative_information_score
35.285556
kb_relative_information_score
34.780449
kb_relative_information_score
35.904974
kb_relative_information_score
33.162544
kb_relative_information_score
35.902889
kb_relative_information_score
35.741535
kb_relative_information_score
35.477422
kb_relative_information_score
35.143584
kb_relative_information_score
34.540915
kb_relative_information_score
35.538499
kb_relative_information_score
33.968605
kb_relative_information_score
34.711834
kb_relative_information_score
35.576833
kb_relative_information_score
35.775613
kb_relative_information_score
35.564
kb_relative_information_score
34.823833
kb_relative_information_score
33.698455
kb_relative_information_score
35.66654
kb_relative_information_score
35.444333
kb_relative_information_score
35.361447
kb_relative_information_score
35.556913
kb_relative_information_score
35.234249
kb_relative_information_score
34.24248
mean_absolute_error
0.009197
mean_absolute_error
0.00182
mean_absolute_error
0.00279
mean_absolute_error
0.005119
mean_absolute_error
0.007545
mean_absolute_error
0.000453
mean_absolute_error
0.013638
mean_absolute_error
0.008686
mean_absolute_error
0.001606
mean_absolute_error
0.006598
mean_absolute_error
0.004735
mean_absolute_error
0.021464
mean_absolute_error
0.013682
mean_absolute_error
0.005771
mean_absolute_error
0.000619
mean_absolute_error
0.013048
mean_absolute_error
0.003099
mean_absolute_error
0.00958
mean_absolute_error
0.007708
mean_absolute_error
0.008682
mean_absolute_error
0.011004
mean_absolute_error
0.001192
mean_absolute_error
0.00346
mean_absolute_error
0.005905
mean_absolute_error
0.02355
mean_absolute_error
0.012198
mean_absolute_error
0.012754
mean_absolute_error
0.001806
mean_absolute_error
0.007333
mean_absolute_error
0.003302
mean_absolute_error
0.00463
mean_absolute_error
0.005773
mean_absolute_error
0.003014
mean_absolute_error
0.014419
mean_absolute_error
0.008441
mean_absolute_error
0.008931
mean_absolute_error
0.003031
mean_absolute_error
0.002317
mean_absolute_error
0.010507
mean_absolute_error
0.00776
mean_absolute_error
0.012496
mean_absolute_error
0.014707
mean_absolute_error
0.008139
mean_absolute_error
0.002937
mean_absolute_error
0.001577
mean_absolute_error
0.002966
mean_absolute_error
0.028075
mean_absolute_error
0.007984
mean_absolute_error
0.008548
mean_absolute_error
0.000289
mean_absolute_error
0.013138
mean_absolute_error
0.011463
mean_absolute_error
0.013128
mean_absolute_error
0.010513
mean_absolute_error
0.003629
mean_absolute_error
0.009431
mean_absolute_error
0.002353
mean_absolute_error
0.005639
mean_absolute_error
0.008203
mean_absolute_error
0.016664
mean_absolute_error
0.008742
mean_absolute_error
0.007447
mean_absolute_error
0.005995
mean_absolute_error
0.007242
mean_absolute_error
0.006177
mean_absolute_error
0.00767
mean_absolute_error
0.001627
mean_absolute_error
0.008532
mean_absolute_error
0.011293
mean_absolute_error
0.009208
mean_absolute_error
0.002377
mean_absolute_error
0.012678
mean_absolute_error
0.023561
mean_absolute_error
0.003692
mean_absolute_error
0.023003
mean_absolute_error
0.008322
mean_absolute_error
0.007514
mean_absolute_error
0.00822
mean_absolute_error
0.012725
mean_absolute_error
0.000996
mean_absolute_error
0.023831
mean_absolute_error
0.001024
mean_absolute_error
0.003284
mean_absolute_error
0.006763
mean_absolute_error
0.008973
mean_absolute_error
0.015147
mean_absolute_error
0.004921
mean_absolute_error
0.019304
mean_absolute_error
0.010609
mean_absolute_error
0.005502
mean_absolute_error
0.002232
mean_absolute_error
0.004097
mean_absolute_error
0.008945
mean_absolute_error
0.017628
mean_absolute_error
0.002677
mean_absolute_error
0.006334
mean_absolute_error
0.006519
mean_absolute_error
0.00554
mean_absolute_error
0.008432
mean_absolute_error
0.015962
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.265063
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266517
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26533
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.26562
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.267074
mean_prior_absolute_error
0.266589
mean_prior_absolute_error
0.266856
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.26598
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266477
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266253
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
mean_prior_absolute_error
0.266552
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [12,6,8,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,4,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,7,7,4,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [12,6,7,5,5,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,6,7,5,6,2]
number_of_instances
37 [11,6,8,5,5,2]
number_of_instances
37 [11,7,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,8,4,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,4,6,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,7,7,4,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
number_of_instances
36 [11,6,7,5,5,2]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.978378 [1,1,1,0.8,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
0.945946 [1,0.833333,1,0.8,1,1]
precision
0.978378 [1,1,1,0.8,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.919884 [1,0.714286,1,0.75,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.949324 [1,1,1,0.625,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.976351 [1,0.875,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976834 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.977477 [1,1,1,0.833333,1,1]
precision
0.96139 [1,1,1,0.714286,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.977778 [1,1,1,0.8,1,1]
precision
0.977778 [1,1,1,0.8,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.960317 [1,1,1,0.714286,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.97619 [1,0.857143,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.917659 [1,0.714286,1,0.75,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.960317 [1,1,1,0.714286,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.960317 [1,1,1,0.714286,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.960317 [1,1,1,0.714286,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.97619 [1,0.857143,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.976852 [1,1,1,0.833333,1,1]
precision
0.944444 [1,0.833333,1,0.8,1,1]
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.945946
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.918919
predictive_accuracy
0.972973
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972973
predictive_accuracy
0.945946
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.916667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.944444
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.972222
predictive_accuracy
1
predictive_accuracy
0.972222
predictive_accuracy
0.944444
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
prior_entropy
2.437791
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.857143,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.945946 [1,0.666667,1,1,1,1]
recall
0.945946 [1,0.833333,1,0.8,1,1]
recall
0.972973 [1,0.857143,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.918919 [1,0.833333,1,0.6,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.945946 [1,0.666667,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.918919 [1,0.5,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.945946 [1,0.714286,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
0.945946 [1,0.714286,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972973 [1,0.833333,1,1,1,1]
recall
0.945946 [1,0.714286,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.857143,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.972222 [1,1,1,0.8,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.916667 [1,0.833333,1,0.6,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.944444 [1,0.666667,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,1,1,0.8,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
1 [1,1,1,1,1,1]
recall
0.972222 [1,0.833333,1,1,1,1]
recall
0.944444 [1,0.833333,1,0.8,1,1]
relative_absolute_error
0.034435
relative_absolute_error
0.00685
relative_absolute_error
0.010446
relative_absolute_error
0.01927
relative_absolute_error
0.028302
relative_absolute_error
0.0017
relative_absolute_error
0.051401
relative_absolute_error
0.032701
relative_absolute_error
0.006046
relative_absolute_error
0.024838
relative_absolute_error
0.017761
relative_absolute_error
0.080809
relative_absolute_error
0.051228
relative_absolute_error
0.02175
relative_absolute_error
0.002324
relative_absolute_error
0.048944
relative_absolute_error
0.011667
relative_absolute_error
0.036068
relative_absolute_error
0.029018
relative_absolute_error
0.032686
relative_absolute_error
0.041277
relative_absolute_error
0.00447
relative_absolute_error
0.013025
relative_absolute_error
0.022152
relative_absolute_error
0.08818
relative_absolute_error
0.045674
relative_absolute_error
0.047753
relative_absolute_error
0.006774
relative_absolute_error
0.027458
relative_absolute_error
0.012387
relative_absolute_error
0.017429
relative_absolute_error
0.021654
relative_absolute_error
0.01137
relative_absolute_error
0.054087
relative_absolute_error
0.031605
relative_absolute_error
0.03344
relative_absolute_error
0.01135
relative_absolute_error
0.008691
relative_absolute_error
0.039343
relative_absolute_error
0.029117
relative_absolute_error
0.047045
relative_absolute_error
0.055067
relative_absolute_error
0.03053
relative_absolute_error
0.010996
relative_absolute_error
0.005937
relative_absolute_error
0.011179
relative_absolute_error
0.105312
relative_absolute_error
0.029896
relative_absolute_error
0.032033
relative_absolute_error
0.001084
relative_absolute_error
0.049234
relative_absolute_error
0.04292
relative_absolute_error
0.049197
relative_absolute_error
0.039364
relative_absolute_error
0.013661
relative_absolute_error
0.035505
relative_absolute_error
0.008828
relative_absolute_error
0.021113
relative_absolute_error
0.03077
relative_absolute_error
0.062446
relative_absolute_error
0.032796
relative_absolute_error
0.02794
relative_absolute_error
0.02249
relative_absolute_error
0.02717
relative_absolute_error
0.023175
relative_absolute_error
0.028776
relative_absolute_error
0.006103
relative_absolute_error
0.032043
relative_absolute_error
0.042458
relative_absolute_error
0.034546
relative_absolute_error
0.008918
relative_absolute_error
0.047562
relative_absolute_error
0.088393
relative_absolute_error
0.01385
relative_absolute_error
0.0863
relative_absolute_error
0.031223
relative_absolute_error
0.028188
relative_absolute_error
0.030839
relative_absolute_error
0.04774
relative_absolute_error
0.003735
relative_absolute_error
0.089406
relative_absolute_error
0.003841
relative_absolute_error
0.012319
relative_absolute_error
0.025371
relative_absolute_error
0.033663
relative_absolute_error
0.056825
relative_absolute_error
0.018463
relative_absolute_error
0.072421
relative_absolute_error
0.0398
relative_absolute_error
0.02064
relative_absolute_error
0.008375
relative_absolute_error
0.015387
relative_absolute_error
0.033559
relative_absolute_error
0.066132
relative_absolute_error
0.010055
relative_absolute_error
0.023763
relative_absolute_error
0.024458
relative_absolute_error
0.020783
relative_absolute_error
0.031635
relative_absolute_error
0.059883
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.362972
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.364968
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363338
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.363738
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.36573
root_mean_prior_squared_error
0.365067
root_mean_prior_squared_error
0.365432
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.364607
root_mean_prior_squared_error
0.364232
root_mean_prior_squared_error
0.365017
root_mean_prior_squared_error
0.365017
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