Run
988

Run 988

Task 89 (Learning Curve) page-blocks Uploaded 08-04-2014 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
0.9799 ± 0.0062
Per class
F measure
0.9423 ± 0.0086
Per class
Kappa
0.7147 ± 0.0393
KB relative information score
0.6005 ± 0.0599
Mean absolute error
0.0273 ± 0.004
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9539 ± 0.006
Per class
Predictive accuracy
0.9359 ± 0.011
Prior entropy
0.6355 ± 0.0053
Recall
0.9359 ± 0.011
Per class
Relative absolute error
0.3585 ± 0.0522
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1463 ± 0.0118
Root relative squared error
0.751 ± 0.0609
SciMark benchmark
881.1463