DEVELOPMENT... OpenML
Run
47994

Run 47994

Task 1736 (Learning Curve) diabetes Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.8208 ± 0.0503
Per class
Build CPU time
0.0006
Build memory
3798548275.6
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
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-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
1747.5082