DEVELOPMENT... OpenML
Run
25090

Run 25090

Task 63 (Learning Curve) kr-vs-kp 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
0.9523 ± 0.0105
Per class
Build CPU time
0.0021
Build memory
1317505831.6933
F measure
0.8784 ± 0.0167
Per class
Kappa
0.7562 ± 0.0335
KB relative information score
0.6114 ± 0.0247
Mean absolute error
0.2079 ± 0.0119
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8786 ± 0.0166
Per class
Predictive accuracy
0.8785 ± 0.0167
Prior entropy
0.9986 ± 0.0002
Recall
0.8785 ± 0.0167
Per class
Relative absolute error
0.4165 ± 0.0238
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3021 ± 0.0139
Root relative squared error
0.6048 ± 0.0278
SciMark benchmark
1157.4003[681.6102499411696995.0709712770484547.1295652594439985.87433017160482577.316395225027]