Run
1757

Run 1757

Task 1722 (Learning Curve) cmc Uploaded 23-04-2014 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
0.6972 ± 0.0232
Per class
F measure
0.5116 ± 0.0367
Per class
Kappa
0.256 ± 0.0501
KB relative information score
0.2418 ± 0.024
Mean absolute error
0.3602 ± 0.0109
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.526 ± 0.0292
Per class
Predictive accuracy
0.5071 ± 0.0378
Prior entropy
1.539 ± 0.0029
Recall
0.5071 ± 0.0378
Per class
Relative absolute error
0.836 ± 0.0259
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4486 ± 0.0109
Root relative squared error
0.9666 ± 0.0241
SciMark benchmark
817.8806