Run
1026

Run 1026

Task 95 (Learning Curve) segment Uploaded 09-04-2014 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
0.9877 ± 0.0043
Per class
F measure
0.9138 ± 0.0169
Per class
Kappa
0.8998 ± 0.0196
KB relative information score
0.9099 ± 0.016
Mean absolute error
0.0259 ± 0.0042
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.914 ± 0.0164
Per class
Predictive accuracy
0.9142 ± 0.0168
Prior entropy
2.8074
Recall
0.9142 ± 0.0168
Per class
Relative absolute error
0.1059 ± 0.0172
Root mean prior squared error
0.3499
Root mean squared error
0.145 ± 0.0142
Root relative squared error
0.4143 ± 0.0405
SciMark benchmark
889.9719