Run
1841

Run 1841

Task 1736 (Learning Curve) diabetes 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
0.8208 ± 0.0503
Per class
F measure
0.761 ± 0.0355
Per class
Kappa
0.4724 ± 0.0798
KB relative information score
0.3561 ± 0.0697
Mean absolute error
0.2918 ± 0.0295
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7604 ± 0.0367
Per class
Predictive accuracy
0.7617 ± 0.0347
Prior entropy
0.9331 ± 0.0046
Recall
0.7617 ± 0.0347
Per class
Relative absolute error
0.642 ± 0.064
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.409 ± 0.034
Root relative squared error
0.8581 ± 0.0704
SciMark benchmark
838.3166