DEVELOPMENT... OpenML
Run
877

Run 877

Task 62 (Learning Curve) anneal Uploaded 08-04-2014 by Mandy
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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
0.9742 ± 0.0206
Per class
F measure
0.9277 ± 0.0238
Per class
Kappa
0.8234 ± 0.0622
KB relative information score
0.7902 ± 0.0617
Mean absolute error
0.0343 ± 0.0079
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9335 ± 0.0216
Per class
Predictive accuracy
0.9256 ± 0.0274
Prior entropy
1.1915 ± 0.0248
Recall
0.9256 ± 0.0274
Per class
Relative absolute error
0.2551 ± 0.0589
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1358 ± 0.0253
Root relative squared error
0.5259 ± 0.0984
SciMark benchmark
889.9148