DEVELOPMENT... OpenML
Run
25102

Run 25102

Task 75 (Learning Curve) mfeat-karhunen 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
0.9939 ± 0.0033
Per class
Build CPU time
0.0228
Build memory
1176125155.0327
F measure
0.9227 ± 0.0183
Per class
Kappa
0.9138 ± 0.0203
KB relative information score
0.9226 ± 0.0163
Mean absolute error
0.0166 ± 0.0033
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9236 ± 0.0174
Per class
Predictive accuracy
0.9224 ± 0.0183
Prior entropy
3.3219
Recall
0.9224 ± 0.0183
Per class
Relative absolute error
0.0921 ± 0.0181
Root mean prior squared error
0.3
Root mean squared error
0.1135 ± 0.0128
Root relative squared error
0.3782 ± 0.0427
SciMark benchmark
1165.4607[699.094410151467998.1636765285998549.0881208562727987.73170937045192593.2254765210737]