DEVELOPMENT... OpenML
Run
25116

Run 25116

Task 89 (Learning Curve) page-blocks Uploaded 16-08-2014 by Jason
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9799 ± 0.0062
Per class
Build CPU time
0.007
Build memory
4047663572.4914
F measure
0.9423 ± 0.0086
Per class
Kappa
0.7147 ± 0.0393
KB relative information score
0.6005 ± 0.0599
Mean absolute error
0.0273 ± 0.004
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9539 ± 0.006
Per class
Predictive accuracy
0.9359 ± 0.011
Prior entropy
0.6355 ± 0.0053
Recall
0.9359 ± 0.011
Per class
Relative absolute error
0.3585 ± 0.0522
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1463 ± 0.0118
Root relative squared error
0.751 ± 0.0609
SciMark benchmark
1137.1649[678.9570401381769971.2474997442686525.9573051903831958.82956513898262550.832905475368]