Run
635

Run 635

Task 73 (Learning Curve) mfeat-fourier Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.9629 ± 0.0084
Per class
F measure
0.7702 ± 0.0272
Per class
Kappa
0.7458 ± 0.0306
KB relative information score
0.7802 ± 0.0257
Mean absolute error
0.0471 ± 0.0048
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7729 ± 0.0272
Per class
Predictive accuracy
0.7712 ± 0.0275
Prior entropy
3.3219
Recall
0.7712 ± 0.0275
Per class
Relative absolute error
0.2619 ± 0.0266
Root mean prior squared error
0.3
Root mean squared error
0.1941 ± 0.012
Root relative squared error
0.6471 ± 0.0401
SciMark benchmark
879.7238