Run
437750

Run 437750

Task 7535 (Learning Curve) monks-problems-2 Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5479 ± 0.0658
Per class
F measure
0.5059 ± 0.0139
Per class
Kappa
-0.0614 ± 0.0731
KB relative information score
-0.0205 ± 0.0316
Mean absolute error
0.4472 ± 0.0099
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4246 ± 0.0097
Per class
Predictive accuracy
0.6256 ± 0.0383
Prior entropy
0.9274 ± 0.0078
Recall
0.6256 ± 0.0383
Per class
Relative absolute error
0.9921 ± 0.0235
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4779 ± 0.0085
Root relative squared error
1.0069 ± 0.0179
SciMark benchmark
941.3619