DEVELOPMENT... OpenML
Run
47978

Run 47978

Task 1714 (Learning Curve) breast-w 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
0.989 ± 0.0104
Per class
Build CPU time
0.0011
Build memory
1154949770.4
F measure
0.9715 ± 0.0239
Per class
Kappa
0.9374 ± 0.0519
KB relative information score
0.934 ± 0.0571
Mean absolute error
0.0288 ± 0.0246
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9723 ± 0.0218
Per class
Predictive accuracy
0.9714 ± 0.0243
Prior entropy
0.9293 ± 0.0043
Recall
0.9714 ± 0.0243
Per class
Relative absolute error
0.0637 ± 0.0546
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1615 ± 0.0778
Root relative squared error
0.3397 ± 0.1639
SciMark benchmark
1932.1045