DEVELOPMENT... OpenML
Run
25106

Run 25106

Task 79 (Learning Curve) mfeat-pixel 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
0.9787 ± 0.0066
Per class
Build CPU time
0.0137
Build memory
1000388398.0364
F measure
0.9351 ± 0.0155
Per class
Kappa
0.9277 ± 0.0171
KB relative information score
0.9333 ± 0.0155
Mean absolute error
0.013 ± 0.003
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
0.9361 ± 0.015
Per class
Predictive accuracy
0.935 ± 0.0154
Prior entropy
3.3219
Recall
0.935 ± 0.0154
Per class
Relative absolute error
0.0722 ± 0.0166
Root mean prior squared error
0.3
Root mean squared error
0.1117 ± 0.0133
Root relative squared error
0.3723 ± 0.0443
SciMark benchmark
1147.108[701.343244079709991.9974325509459539.1623788477392985.1334035501882517.903623207363]