Run
2082

Run 2082

Task 1711 (Learning Curve) mfeat-factors Uploaded 24-04-2014 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
0.9741 ± 0.008
Per class
F measure
0.9332 ± 0.0156
Per class
Kappa
0.9256 ± 0.0172
KB relative information score
0.9306 ± 0.0163
Mean absolute error
0.0135 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.9345 ± 0.0136
Per class
Predictive accuracy
0.933 ± 0.0155
Prior entropy
3.3219
Recall
0.933 ± 0.0155
Per class
Relative absolute error
0.075 ± 0.0172
Root mean prior squared error
0.3
Root mean squared error
0.1142 ± 0.0138
Root relative squared error
0.3807 ± 0.0459
SciMark benchmark
874.2465