295477
2
Joaquin Vanschoren
1887
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
7
audiology
https://www.openml.org/data/download/7/dataset_7_audiology.arff
-1
997814
description
https://api.openml.org/data/download/997814/weka_generated_run6143513555487318753.xml
-1
997817
model_readable
https://api.openml.org/data/download/997817/WekaModel_weka.classifiers.bayes.BayesNet411029785597433266.model
-1
997816
model_serialized
https://api.openml.org/data/download/997816/WekaSerialized_weka.classifiers.bayes.BayesNet8354941954871362897.model
-1
997815
predictions
https://api.openml.org/data/download/997815/weka_generated_predictions1418293813992961260.arff
area_under_roc_curve
0.958399 [0.472889,0.472444,0.99331,0.991927,0.476667,0.7074,0.984311,0.963749,0.908471,0.999932,0.674944,0.967157,0.855569,0.986317,0.997993,0.989462,0.494,0.964967,0.963914,0.870304,0.490444,0.998176,0.95875,0.720234]
average_cost
0
f_measure
0.719506 [0,0,0.917508,0.874142,0,0,0.814458,0.837344,0,0.685714,0,0,0,0,0.775862,0,0,0,0.643923,0,0,0.894737,0.719424,0]
kappa
0.719711
kb_relative_information_score
1404.495517
mean_absolute_error
0.022818
mean_prior_absolute_error
0.072392
number_of_instances
2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.687778 [0,0,0.881877,0.880184,0,0,0.786047,0.778175,0,0.521739,0,0,0,0,0.633803,0,0,0,0.606426,0,0,0.944444,0.847458,0]
predictive_accuracy
0.763274
prior_entropy
3.634907
recall
0.763274 [0,0,0.95614,0.868182,0,0,0.845,0.90625,0,1,0,0,0,0,1,0,0,0,0.686364,0,0,0.85,0.625,0]
relative_absolute_error
0.315199
root_mean_prior_squared_error
0.189308
root_mean_squared_error
0.1248
root_relative_squared_error
0.659241
scimark_benchmark
1342.691097 [815.44679278678, 1017.6683591688668, 546.5725558404625, 1120.273545364893, 3213.4942316708025]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
20
usercpu_time_millis_training
0
area_under_roc_curve
0.978747 [0.0,0.0,1,1,0.0,0.977273,0.952381,0.944444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.0]
area_under_roc_curve
0.993977 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,0.0]
area_under_roc_curve
0.969241 [0.5,0.0,0.990196,1,0.0,0.0,1,0.988889,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,1,0.0,0.0]
area_under_roc_curve
0.971256 [0.0,0.0,0.977778,1,0.0,0.0,1,1,0.0,1,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.988048 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.818182,0.0,0.0,1,1]
area_under_roc_curve
0.936006 [0.0,0.0,1,1,0.0,0.0,1,0.833333,0.0,0.0,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.909091,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.993353 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.958435 [0.0,0.0,1,1,0.0,0.0,1,0.855556,0.954545,1,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.928571,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.967313 [0.0,0.0,1,1,0.0,0.0,1,0.877778,0.0,1,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.964239 [0.0,0.0,1,1,0.0,0.454545,0.97619,1,0.0,0.0,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.97619,0.863636,0.0,0.0,1,0.0]
area_under_roc_curve
0.996047 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,0.0,1,1]
area_under_roc_curve
0.998024 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,1,0.0,1]
area_under_roc_curve
0.993193 [0.0,0.0,0.988889,1,0.0,0.0,1,0.988889,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.954545,0.0]
area_under_roc_curve
0.974214 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.5]
area_under_roc_curve
0.971014 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.971705 [0.0,0.0,1,1,0.0,0.5,0.952381,0.988889,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.959372 [0.5,0.0,1,0.95,0.0,0.0,1,0.986842,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,0.0,0.818182,0.0]
area_under_roc_curve
0.970356 [0.0,0.5,1,1,0.0,0.0,1,1,1,0.0,0.0,0.0,0.954545,0.0,1,0.0,0.0,0.0,1,0.863636,0.0,0.0,1,0.0]
area_under_roc_curve
0.960945 [0.0,0.0,1,0.952381,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.863636,0.0]
area_under_roc_curve
0.92634 [0.0,0.0,0.960784,0.952381,0.0,0.0,1,1,0.0,0.0,0.477273,0.0,0.977273,0.0,1,0.0,0.0,0.0,1,0.909091,0.5,0.0,0.772727,0.0]
area_under_roc_curve
0.967658 [0.0,0.0,1,0.952381,0.0,0.0,0.97619,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.954545,0.5]
area_under_roc_curve
0.958186 [0.0,0.0,0.980392,0.95,0.0,0.0,0.97619,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.5]
area_under_roc_curve
0.942719 [0.5,0.5,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.952381,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.980708 [0.0,0.0,1,0.97619,0.0,0.0,1,0.966667,0.0,1,0.0,0.954545,0.954545,0.0,1,1,0.0,1,0.97619,0.0,0.0,0.0,0.909091,0.0]
area_under_roc_curve
0.994885 [0.0,0.0,0.980392,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.991907 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.954545,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0]
area_under_roc_curve
0.976087 [0.0,0.5,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.983333,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.950311 [0.0,0.0,1,1,0.5,0.5,0.952381,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,1,1,0.0]
area_under_roc_curve
0.990683 [0.0,0.0,1,1,0.0,0.0,0.97619,0.966667,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.962733 [0.5,0.0,1,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.904762,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.942951 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,0.5,0.954545,0.0,0.0,0.0,1,0.5,0.0,0.966667,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.986291 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.954545,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.982057 [0.0,0.0,1,1,0.0,1,1,0.955556,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.904762,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.989585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.954545,1,0.0,1,0.954545,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0]
area_under_roc_curve
0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,0.909091,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,1,1,0.0]
area_under_roc_curve
0.994071 [0.0,0.0,1,1,0.0,0.0,1,1,1,0.0,0.0,0.954545,0.909091,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.960663 [0.0,0.0,1,1,0.0,1,0.928571,0.966667,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.952381,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.96507 [0.0,0.0,1,1,0.0,0.977273,0.97619,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.880952,0.772727,0.0,1,0.954545,0.0]
area_under_roc_curve
0.958937 [0.5,0.0,1,1,0.0,0.0,0.880952,0.977778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.971751 [0.0,0.0,0.990196,1,0.5,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.0]
area_under_roc_curve
0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.913592 [0.0,0.0,0.990196,1,0.5,0.0,1,0.833333,1,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.953463 [0.0,0.0,1,1,0.0,0.477273,0.97619,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.5]
area_under_roc_curve
0.965195 [0.0,0.0,0.988889,1,0.0,0.0,1,0.955556,0.977273,0.0,0.0,1,0.0,1,1,1,0.5,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.981931 [0.0,0.0,1,0.97619,0.0,0.0,1,1,0.954545,1,0.0,1,0.954545,0.0,1,0.0,0.0,0.0,0.952381,0.818182,0.0,0.0,1,0.0]
area_under_roc_curve
0.968698 [0.0,0.0,0.990196,0.983333,0.0,0.0,1,0.977778,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.888652 [0.0,0.0,0.980392,1,0.5,0.477273,0.952381,0.844444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,0.0,1,0.5]
area_under_roc_curve
0.950659 [0.0,0.0,1,0.95,0.0,0.0,1,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.5,1,0.772727,0.0]
area_under_roc_curve
0.969193 [0.0,0.0,0.980392,1,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.0,0.0,1,1]
area_under_roc_curve
0.961698 [0.0,0.0,1,1,0.0,0.0,1,0.933333,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,1]
area_under_roc_curve
0.966184 [0.0,0.0,0.977778,1,0.5,0.0,1,0.966667,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.94529 [0.0,0.0,0.980392,1,0.0,0.5,0.952381,1,0.0,1,0.0,0.0,0.0,0.0,0.954545,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.974308 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.5,0.0,0.909091,1]
area_under_roc_curve
0.941948 [0.0,0.0,0.970588,1,0.0,0.0,1,0.877778,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.97619,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.95878 [0.0,0.0,0.988889,1,0.0,0.5,0.952381,0.977778,0.0,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,0.952381,0.954545,0.0,0.0,1,0.0]
area_under_roc_curve
0.946201 [0.0,0.0,1,1,0.0,0.0,0.928571,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,0.954545,0.904762,0.863636,0.0,1,1,1]
area_under_roc_curve
0.928977 [0.0,0.0,0.980392,0.952381,0.0,0.0,1,0.944444,0.909091,0.0,0.0,0.0,0.909091,0.0,0.0,0.0,0.5,0.0,0.928571,0.772727,0.0,0.0,0.909091,1]
area_under_roc_curve
0.963768 [0.5,0.0,0.966667,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.932279 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.9,0.909091,0.0,0.0,0.0,0.5]
area_under_roc_curve
0.937968 [0.0,0.0,0.988235,1,0.0,0.0,1,0.858824,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.95,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.922326 [0.5,0.0,1,1,0.0,0.0,1,0.788235,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.925,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.987834 [0.0,0.0,1,0.975,0.0,1,0.975,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.975,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.93414 [0.0,0.0,0.989583,0.975,0.0,0.0,1,0.811765,1,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0,0.0,0.85,0.952381,0.0,0.0,1,0.0]
area_under_roc_curve
0.961005 [0.0,0.0,1,1,0.5,0.0,0.9,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.947368,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.928132 [0.0,0.0,0.988235,0.975,0.0,1,0.95,0.894118,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,0.857143,0.0,0.0,1,0.5]
area_under_roc_curve
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0.765908 [0,0,0.833333,0.857143,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.687484 [0,0,0.909091,1,0,0,0.8,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0]
f_measure
0.532441 [0,0,0.8,0.8,0,0,0,0.769231,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.599034 [0,0,0.833333,0.5,0,0,1,0.888889,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.836 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,1,1,0]
f_measure
0.685507 [0,0,1,1,0,0,0.8,0.833333,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
f_measure
0.719697 [0,0,0.833333,1,0,0,1,0.8,0,0.666667,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
f_measure
0.738567 [0,0,0.909091,0.8,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
f_measure
0.695688 [0,0,0.923077,0.666667,0,0,0.8,0.833333,0,1,0,0,0,0,0.666667,0,0,0,0,0,0,0,1,0]
f_measure
0.597203 [0,0,0.923077,0.666667,0,0,0.8,0.6,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,1,0]
f_measure
0.714452 [0,0,0.923077,1,0,0,0.666667,0.769231,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0]
f_measure
0.676309 [0,0,0.909091,0.666667,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.656749 [0,0,0.909091,0.8,0,0,1,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0]
f_measure
0.758127 [0,0,1,1,0,0,0.666667,0.909091,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.812121 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0]
f_measure
0.631457 [0,0,0.888889,0.857143,0,0,0.571429,0.666667,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0]
f_measure
0.762889 [0,0,0.909091,0.666667,0,0,1,1,0,0.666667,0,0,0,0,0.666667,0,0,0,0.857143,0,0,0,0,0]
f_measure
0.754545 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.589899 [0,0,0.888889,0.8,0,0,0,0.833333,0,0.5,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.729021 [0,0,0.923077,1,0,0,0.666667,0.833333,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.775758 [0,0,1,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.734848 [0,0,0.833333,0.666667,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.666667 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0]
f_measure
0.833333 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
f_measure
0.563361 [0,0,0.833333,1,0,0,0.666667,0.545455,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0]
f_measure
0.742975 [0,0,0.909091,0.8,0,0,0.8,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.694172 [0,0,0.923077,1,0,0,0.666667,0.8,0,1,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0]
f_measure
0.694949 [0,0,0.833333,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.673423 [0,0,0.909091,1,0,0,0.666667,0.888889,0,0,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,1,0]
f_measure
0.637229 [0,0,0.714286,0.4,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0]
f_measure
0.764646 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0]
f_measure
0.734803 [0,0,0.909091,0.8,0,0,0.5,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.684298 [0,0,0.909091,0.8,0,0,1,0.75,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.834091 [0,0,1,1,0,0,0.8,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
f_measure
0.5502 [0,0,0.857143,0.666667,0,0,0,0.615385,0,0.666667,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
f_measure
0.757071 [0,0,1,1,0,0,1,0.888889,0,1,0,0,0,0,0.5,0,0,0,0.8,0,0,0,0,0]
f_measure
0.782999 [0,0,0.909091,0.857143,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.607792 [0,0,0.8,0.666667,0,0,0.666667,0.857143,0,0.666667,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,0,0]
f_measure
0.630854 [0,0,0.909091,0.666667,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.759091 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,1,1,0]
f_measure
0.761849 [0,0,0.923077,1,0,0,0.5,0.888889,0,0.666667,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.716667 [0,0,0.833333,1,0,0,0.666667,0.833333,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.754545 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.764069 [0,0,0.857143,0,0,0,1,1,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,1,0,0]
f_measure
0.780031 [0,0,0.923077,1,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.719891 [0,0,0.769231,0.666667,0,0,1,0.888889,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
kappa
0.740991
kappa
0.846667
kappa
0.733796
kappa
0.695364
kappa
0.740991
kappa
0.684211
kappa
0.842105
kappa
0.694013
kappa
0.644592
kappa
0.742152
kappa
0.795556
kappa
0.740406
kappa
0.793722
kappa
0.752688
kappa
0.791383
kappa
0.633257
kappa
0.793722
kappa
0.694013
kappa
0.794643
kappa
0.743304
kappa
0.5902
kappa
0.789474
kappa
0.687075
kappa
0.744444
kappa
0.646154
kappa
0.844244
kappa
0.7951
kappa
0.845291
kappa
0.681293
kappa
0.688488
kappa
0.790433
kappa
0.578947
kappa
0.798687
kappa
0.689888
kappa
0.696035
kappa
0.747253
kappa
0.844244
kappa
0.639821
kappa
0.740406
kappa
0.738636
kappa
0.7951
kappa
0.796009
kappa
0.7951
kappa
0.844595
kappa
0.54902
kappa
0.694013
kappa
0.687075
kappa
0.685649
kappa
0.696703
kappa
0.793722
kappa
0.640625
kappa
0.690583
kappa
0.641425
kappa
0.796009
kappa
0.743875
kappa
0.697368
kappa
0.54
kappa
0.547046
kappa
0.848018
kappa
0.689189
kappa
0.730392
kappa
0.728395
kappa
0.721519
kappa
0.562189
kappa
0.715026
kappa
0.680387
kappa
0.675676
kappa
0.727723
kappa
0.84058
kappa
0.576923
kappa
0.783784
kappa
0.786925
kappa
0.626214
kappa
0.721519
kappa
0.723618
kappa
0.726368
kappa
0.629808
kappa
0.836634
kappa
0.507463
kappa
0.784841
kappa
0.673267
kappa
0.678049
kappa
0.679612
kappa
0.611111
kappa
0.785366
kappa
0.679612
kappa
0.682692
kappa
0.787952
kappa
0.55102
kappa
0.785366
kappa
0.784314
kappa
0.583924
kappa
0.628019
kappa
0.73236
kappa
0.783251
kappa
0.720812
kappa
0.72973
kappa
0.779449
kappa
0.782716
kappa
0.728395
kb_relative_information_score
13.819039
kb_relative_information_score
15.84969
kb_relative_information_score
14.054295
kb_relative_information_score
16.426546
kb_relative_information_score
14.648426
kb_relative_information_score
14.387701
kb_relative_information_score
16.249748
kb_relative_information_score
15.727249
kb_relative_information_score
12.782678
kb_relative_information_score
15.736075
kb_relative_information_score
13.326252
kb_relative_information_score
14.81443
kb_relative_information_score
15.202348
kb_relative_information_score
16.310291
kb_relative_information_score
15.450536
kb_relative_information_score
12.472074
kb_relative_information_score
16.368711
kb_relative_information_score
14.039651
kb_relative_information_score
14.618823
kb_relative_information_score
15.07658
kb_relative_information_score
11.548142
kb_relative_information_score
14.685758
kb_relative_information_score
15.256566
kb_relative_information_score
14.286286
kb_relative_information_score
13.319276
kb_relative_information_score
16.250274
kb_relative_information_score
14.530718
kb_relative_information_score
16.180149
kb_relative_information_score
13.595873
kb_relative_information_score
15.757457
kb_relative_information_score
15.449802
kb_relative_information_score
11.508883
kb_relative_information_score
16.154486
kb_relative_information_score
13.469316
kb_relative_information_score
13.974041
kb_relative_information_score
15.386906
kb_relative_information_score
15.232292
kb_relative_information_score
14.20489
kb_relative_information_score
14.220979
kb_relative_information_score
14.903206
kb_relative_information_score
15.734072
kb_relative_information_score
15.30566
kb_relative_information_score
14.685968
kb_relative_information_score
15.679102
kb_relative_information_score
10.883319
kb_relative_information_score
14.112473
kb_relative_information_score
13.728682
kb_relative_information_score
13.323729
kb_relative_information_score
13.316728
kb_relative_information_score
14.229345
kb_relative_information_score
14.002121
kb_relative_information_score
14.894545
kb_relative_information_score
13.866275
kb_relative_information_score
15.247971
kb_relative_information_score
14.347034
kb_relative_information_score
14.695733
kb_relative_information_score
12.2265
kb_relative_information_score
9.842058
kb_relative_information_score
17.176459
kb_relative_information_score
12.198567
kb_relative_information_score
15.176316
kb_relative_information_score
14.818549
kb_relative_information_score
13.675127
kb_relative_information_score
11.001363
kb_relative_information_score
13.874112
kb_relative_information_score
13.205991
kb_relative_information_score
12.299071
kb_relative_information_score
12.83844
kb_relative_information_score
16.007033
kb_relative_information_score
11.633544
kb_relative_information_score
13.679084
kb_relative_information_score
14.165084
kb_relative_information_score
13.424373
kb_relative_information_score
13.201614
kb_relative_information_score
14.718806
kb_relative_information_score
14.591624
kb_relative_information_score
12.440698
kb_relative_information_score
14.811243
kb_relative_information_score
12.115171
kb_relative_information_score
13.821937
kb_relative_information_score
13.128045
kb_relative_information_score
13.108056
kb_relative_information_score
12.542797
kb_relative_information_score
11.161071
kb_relative_information_score
14.283367
kb_relative_information_score
12.040911
kb_relative_information_score
12.342508
kb_relative_information_score
15.207848
kb_relative_information_score
11.861733
kb_relative_information_score
13.641471
kb_relative_information_score
14.113069
kb_relative_information_score
10.96837
kb_relative_information_score
11.711217
kb_relative_information_score
14.360034
kb_relative_information_score
14.81342
kb_relative_information_score
13.235105
kb_relative_information_score
14.749
kb_relative_information_score
14.376153
kb_relative_information_score
14.437882
kb_relative_information_score
14.141491
mean_absolute_error
0.023699
mean_absolute_error
0.01578
mean_absolute_error
0.02293
mean_absolute_error
0.020872
mean_absolute_error
0.019803
mean_absolute_error
0.021969
mean_absolute_error
0.013676
mean_absolute_error
0.021698
mean_absolute_error
0.029405
mean_absolute_error
0.019964
mean_absolute_error
0.026525
mean_absolute_error
0.018982
mean_absolute_error
0.018143
mean_absolute_error
0.021337
mean_absolute_error
0.018387
mean_absolute_error
0.026111
mean_absolute_error
0.017482
mean_absolute_error
0.02292
mean_absolute_error
0.017947
mean_absolute_error
0.021161
mean_absolute_error
0.028938
mean_absolute_error
0.020024
mean_absolute_error
0.023175
mean_absolute_error
0.02446
mean_absolute_error
0.027777
mean_absolute_error
0.01487
mean_absolute_error
0.021849
mean_absolute_error
0.015999
mean_absolute_error
0.026445
mean_absolute_error
0.020597
mean_absolute_error
0.018967
mean_absolute_error
0.028794
mean_absolute_error
0.018316
mean_absolute_error
0.024267
mean_absolute_error
0.024464
mean_absolute_error
0.021654
mean_absolute_error
0.019723
mean_absolute_error
0.024997
mean_absolute_error
0.022872
mean_absolute_error
0.022555
mean_absolute_error
0.017485
mean_absolute_error
0.01862
mean_absolute_error
0.021819
mean_absolute_error
0.01712
mean_absolute_error
0.032629
mean_absolute_error
0.024444
mean_absolute_error
0.023258
mean_absolute_error
0.024911
mean_absolute_error
0.024799
mean_absolute_error
0.020847
mean_absolute_error
0.026503
mean_absolute_error
0.024011
mean_absolute_error
0.024682
mean_absolute_error
0.017124
mean_absolute_error
0.023571
mean_absolute_error
0.0227
mean_absolute_error
0.031139
mean_absolute_error
0.036759
mean_absolute_error
0.015348
mean_absolute_error
0.028016
mean_absolute_error
0.021848
mean_absolute_error
0.021836
mean_absolute_error
0.020948
mean_absolute_error
0.031617
mean_absolute_error
0.019504
mean_absolute_error
0.026753
mean_absolute_error
0.027882
mean_absolute_error
0.023744
mean_absolute_error
0.013626
mean_absolute_error
0.029027
mean_absolute_error
0.021772
mean_absolute_error
0.018538
mean_absolute_error
0.025756
mean_absolute_error
0.020943
mean_absolute_error
0.019176
mean_absolute_error
0.018745
mean_absolute_error
0.027962
mean_absolute_error
0.019726
mean_absolute_error
0.030099
mean_absolute_error
0.020622
mean_absolute_error
0.024261
mean_absolute_error
0.02469
mean_absolute_error
0.025346
mean_absolute_error
0.028739
mean_absolute_error
0.020459
mean_absolute_error
0.029822
mean_absolute_error
0.029019
mean_absolute_error
0.019007
mean_absolute_error
0.03053
mean_absolute_error
0.024381
mean_absolute_error
0.019631
mean_absolute_error
0.037084
mean_absolute_error
0.027369
mean_absolute_error
0.019029
mean_absolute_error
0.018926
mean_absolute_error
0.023332
mean_absolute_error
0.018408
mean_absolute_error
0.018766
mean_absolute_error
0.019582
mean_absolute_error
0.019064
mean_prior_absolute_error
0.072029
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072362
mean_prior_absolute_error
0.07313
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072014
mean_prior_absolute_error
0.071957
mean_prior_absolute_error
0.072681
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072217
mean_prior_absolute_error
0.072319
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.072754
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072435
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.073145
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072
mean_prior_absolute_error
0.071971
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072783
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072188
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07287
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.073072
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.072899
mean_prior_absolute_error
0.072116
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072812
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.072797
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072101
mean_prior_absolute_error
0.073029
mean_prior_absolute_error
0.073101
mean_prior_absolute_error
0.072435
mean_prior_absolute_error
0.072768
mean_prior_absolute_error
0.072638
mean_prior_absolute_error
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mean_prior_absolute_error
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precision
0.722826 [0,0,1,1,0,0,1,0.625,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0]
precision
0.586957 [0,0,1,0.666667,0,0,0.666667,0.666667,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.774327 [0,0,0.857143,1,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.746377 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.774845 [0,0,1,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,0.75,0,0,0,1,0]
precision
0.65528 [0,0,0.75,1,0,0,0.5,0.714286,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
precision
0.716356 [0,0,0.857143,1,0,0,0.5,0.666667,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0]
precision
0.744565 [0,0,1,1,0,0,1,0.625,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
precision
0.623188 [0,0,0.666667,1,0,0,0.666667,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.833333 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,1,1,0]
precision
0.666667 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
precision
0.644928 [0,0,0.833333,1,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.718841 [0,0,1,1,0,0,1,0.8,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,1,0,0]
precision
0.832298 [0,0,0.857143,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.620773 [0,0,1,1,0,0,0,0.555556,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.695652 [0,0,1,1,0,0,0.666667,0.833333,0,0,0,0,0,0,1,0,0,0,0.25,0,0,1,0,0]
precision
0.722826 [0,0,1,1,0,0,1,0.625,0,0.5,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
precision
0.803313 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.793478 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0.25,0,0,0,1,0,0,1,0,0]
precision
0.781573 [0,0,0.857143,1,0,0,1,1,0,0.5,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.775362 [0,0,1,1,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.572464 [0,0,0.8,1,0,0,1,0.8,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,0,0,0]
precision
0.614907 [0,0,0.857143,0.5,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.730849 [0,0,0.857143,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.623188 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
precision
0.655797 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.759834 [0,0,0.857143,1,0,0,1,1,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,1,0]
precision
0.599034 [0,0,1,1,0,0,1,0.555556,0,0.5,0,0,0,0,0.5,0,0,0,0,0,0,0,1,0]
precision
0.619048 [0,0,0.714286,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
precision
0.584886 [0,0,0.714286,0,0,0,0.666667,1,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5,0]
precision
0.775362 [0,0,1,1,0,0,1,1,0,0.5,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.764493 [0,0,0.833333,0.75,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.652174 [0,0,0.833333,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
precision
0.483696 [0,0,0.8,0.666667,0,0,0,0.625,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
0.608696 [0,0,0.833333,0.5,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0]
precision
0.822464 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0]
precision
0.648033 [0,0,1,1,0,0,0.666667,0.714286,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
precision
0.685065 [0,0,0.714286,1,0,0,1,0.8,0,0.5,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
precision
0.75 [0,0,0.833333,1,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
precision
0.661255 [0,0,0.857143,1,0,0,0.666667,0.714286,0,1,0,0,0,0,0.5,0,0,0,0,0,0,0,1,0]
precision
0.589827 [0,0,0.857143,1,0,0,0.666667,0.6,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,1,0]
precision
0.693994 [0,0,0.857143,1,0,0,1,0.625,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0]
precision
0.67803 [0,0,0.833333,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.606061 [0,0,0.833333,0.666667,0,0,1,0.666667,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,1,0,0]
precision
0.765152 [0,0,1,1,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
0.780303 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.672727 [0,0,1,0.75,0,0,0.4,0.75,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.746212 [0,0,0.833333,1,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.75,0,0,0,0,0]
precision
0.719697 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.548701 [0,0,1,0.666667,0,0,0,0.714286,0,0.333333,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.714286 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.811688 [0,0,1,1,0,0,1,0.571429,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.779221 [0,0,0.714286,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.659091 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.25,0,0,0,1,0]
precision
0.818182 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
precision
0.568182 [0,0,0.833333,1,0,0,1,0.5,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0]
precision
0.689394 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.695887 [0,0,0.857143,1,0,0,1,0.666667,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
precision
0.690909 [0,0,0.833333,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
0.65303 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
precision
0.625 [0,0,0.625,0.333333,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.728788 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
precision
0.765152 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.674242 [0,0,1,0.666667,0,0,1,0.75,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.878788 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.580808 [0,0,0.75,1,0,0,0,0.444444,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.721212 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,0.333333,0,0,0,0.666667,0,0,0,0,0]
precision
0.768939 [0,0,1,0.75,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.672727 [0,0,1,0.5,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.4,0,0,0,0,0]
precision
0.621212 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0]
precision
0.80303 [0,0,1,1,0,0,1,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0]
precision
0.72013 [0,0,0.857143,1,0,0,0.5,0.8,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.700216 [0,0,0.833333,1,0,0,1,0.714286,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.75 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.727273 [0,0,0.75,0,0,0,1,1,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0]
precision
0.765584 [0,0,0.857143,1,0,0,1,0.8,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.703896 [0,0,0.714286,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.695652
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.652174
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.869565
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.652174
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.695652
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.608696
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.73913
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.608696
predictive_accuracy
0.608696
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.636364
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.863636
predictive_accuracy
0.636364
predictive_accuracy
0.818182
predictive_accuracy
0.818182
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.681818
predictive_accuracy
0.863636
predictive_accuracy
0.590909
predictive_accuracy
0.818182
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.681818
predictive_accuracy
0.818182
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.818182
predictive_accuracy
0.636364
predictive_accuracy
0.818182
predictive_accuracy
0.818182
predictive_accuracy
0.636364
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.818182
predictive_accuracy
0.772727
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.73913 [0,0,0.8,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
recall
0.782609 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.869565 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.695652 [0,0,0.833333,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.782609 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.695652 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.652174 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,0.833333,0.333333,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.695652 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.73913 [0,0,1,0.5,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
recall
0.652174 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.782609 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.695652 [0,0,1,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.608696 [0,0,0.8,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.695652 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
recall
0.695652 [0,0,0.833333,0,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.608696 [0,0,0.8,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.608696 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.772727 [0,0,1,0.666667,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.636364 [0,0,1,0.5,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0]
recall
0.727273 [0,0,1,0.5,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.863636 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.636364 [0,0,0.8,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
recall
0.818182 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.681818 [0,0,0.8,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
recall
0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
recall
0.681818 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
recall
0.863636 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.590909 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.727273 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.636364 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.636364 [0,0,0.666667,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.681818 [0,0,1,0.5,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,1,1,0]
recall
0.818182 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.772727 [0,0,0.833333,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
recall
0.818182 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.772727 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
relative_absolute_error
0.329021
relative_absolute_error
0.218376
relative_absolute_error
0.316873
relative_absolute_error
0.285403
relative_absolute_error
0.274049
relative_absolute_error
0.305071
relative_absolute_error
0.190052
relative_absolute_error
0.298532
relative_absolute_error
0.406763
relative_absolute_error
0.276436
relative_absolute_error
0.366781
relative_absolute_error
0.262583
relative_absolute_error
0.251678
relative_absolute_error
0.293279
relative_absolute_error
0.254451
relative_absolute_error
0.360473
relative_absolute_error
0.241983
relative_absolute_error
0.31335
relative_absolute_error
0.248115
relative_absolute_error
0.292848
relative_absolute_error
0.400061
relative_absolute_error
0.278113
relative_absolute_error
0.322003
relative_absolute_error
0.334268
relative_absolute_error
0.380284
relative_absolute_error
0.205704
relative_absolute_error
0.302424
relative_absolute_error
0.219814
relative_absolute_error
0.365746
relative_absolute_error
0.285088
relative_absolute_error
0.262421
relative_absolute_error
0.398879
relative_absolute_error
0.253476
relative_absolute_error
0.335288
relative_absolute_error
0.334927
relative_absolute_error
0.297159
relative_absolute_error
0.273604
relative_absolute_error
0.342078
relative_absolute_error
0.316396
relative_absolute_error
0.312066
relative_absolute_error
0.241927
relative_absolute_error
0.25726
relative_absolute_error
0.301764
relative_absolute_error
0.236821
relative_absolute_error
0.445905
relative_absolute_error
0.335317
relative_absolute_error
0.322511
relative_absolute_error
0.344398
relative_absolute_error
0.340589
relative_absolute_error
0.288212
relative_absolute_error
0.362837
relative_absolute_error
0.329828
relative_absolute_error
0.341429
relative_absolute_error
0.236923
relative_absolute_error
0.326908
relative_absolute_error
0.31084
relative_absolute_error
0.425973
relative_absolute_error
0.507479
relative_absolute_error
0.210917
relative_absolute_error
0.385702
relative_absolute_error
0.300601
relative_absolute_error
0.301697
relative_absolute_error
0.291681
relative_absolute_error
0.440138
relative_absolute_error
0.273252
relative_absolute_error
0.368314
relative_absolute_error
0.3837
relative_absolute_error
0.330399
relative_absolute_error
0.187635
relative_absolute_error
0.401457
relative_absolute_error
0.300676
relative_absolute_error
0.255211
relative_absolute_error
0.354592
relative_absolute_error
0.291549
relative_absolute_error
0.267907
relative_absolute_error
0.258986
relative_absolute_error
0.384312
relative_absolute_error
0.274603
relative_absolute_error
0.418654
relative_absolute_error
0.283785
relative_absolute_error
0.33561
relative_absolute_error
0.340553
relative_absolute_error
0.346917
relative_absolute_error
0.399999
relative_absolute_error
0.282132
relative_absolute_error
0.416378
relative_absolute_error
0.400185
relative_absolute_error
0.264711
relative_absolute_error
0.422244
relative_absolute_error
0.33629
relative_absolute_error
0.271625
relative_absolute_error
0.511394
relative_absolute_error
0.37398
relative_absolute_error
0.26307
relative_absolute_error
0.261042
relative_absolute_error
0.325428
relative_absolute_error
0.254756
relative_absolute_error
0.261072
relative_absolute_error
0.270887
relative_absolute_error
0.262958
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189229
root_mean_prior_squared_error
0.191248
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.188308
root_mean_prior_squared_error
0.188154
root_mean_prior_squared_error
0.19007
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188846
root_mean_prior_squared_error
0.189114
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.19026
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.18942
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.191286
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188269
root_mean_prior_squared_error
0.188192
root_mean_prior_squared_error
0.191362
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.190336
root_mean_prior_squared_error
0.189076
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188769
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190565
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.191096
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.189076
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.191362
root_mean_prior_squared_error
0.190641
root_mean_prior_squared_error
0.188577
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.190413
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190374
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