DEVELOPMENT... OpenML
Run
47976

Run 47976

Task 1713 (Learning Curve) mfeat-fourier Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.963 ± 0.0061
Per class
Build CPU time
0.02
Build memory
3793282876.2909
F measure
0.7662 ± 0.0183
Per class
Kappa
0.7417 ± 0.021
KB relative information score
0.781 ± 0.0172
Mean absolute error
0.0471 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7693 ± 0.0182
Per class
Predictive accuracy
0.7675 ± 0.0189
Prior entropy
3.3219
Recall
0.7675 ± 0.0189
Per class
Relative absolute error
0.2615 ± 0.0171
Root mean prior squared error
0.3
Root mean squared error
0.1938 ± 0.0083
Root relative squared error
0.6459 ± 0.0277
SciMark benchmark
1729.8248