DEVELOPMENT... OpenML
Run
25037

Run 25037

Task 62 (Learning Curve) anneal Uploaded 16-08-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9742 ± 0.0206
Per class
Build CPU time
0.0028
Build memory
227017358.2667
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_55, amd64, Linux, 3.13.0-32-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
775.9981[469.1340932148987973.7013819753541408.57755533778607770.7851120633991257.7921058814234]