DEVELOPMENT... OpenML
Run
25117

Run 25117

Task 90 (Learning Curve) credit-g 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
0.7773 ± 0.0478
Per class
Build CPU time
0.0013
Build memory
4304514397.6711
F measure
0.7373 ± 0.0394
Per class
Kappa
0.363 ± 0.0971
KB relative information score
0.2395 ± 0.0696
Mean absolute error
0.311 ± 0.0239
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7342 ± 0.041
Per class
Predictive accuracy
0.7434 ± 0.0381
Prior entropy
0.8813
Recall
0.7434 ± 0.0381
Per class
Relative absolute error
0.7401 ± 0.0568
Root mean prior squared error
0.4583
Root mean squared error
0.4195 ± 0.0279
Root relative squared error
0.9154 ± 0.0609
SciMark benchmark
1147.9148[695.7481696180889994.3008483142872548.8074595913721985.1334035501882515.5842117628467]