DEVELOPMENT... OpenML
Run
47981

Run 47981

Task 1717 (Learning Curve) mfeat-morphological Uploaded 05-11-2014 by Jason
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  • 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
0.952 ± 0.0045
Per class
Build CPU time
0.002
Build memory
1217276261.7455
F measure
0.674 ± 0.0258
Per class
Kappa
0.6489 ± 0.0279
KB relative information score
0.7276 ± 0.0194
Mean absolute error
0.0658 ± 0.0036
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
0.6796 ± 0.0273
Per class
Predictive accuracy
0.684 ± 0.0251
Prior entropy
3.3219
Recall
0.684 ± 0.0251
Per class
Relative absolute error
0.3654 ± 0.0202
Root mean prior squared error
0.3
Root mean squared error
0.2089 ± 0.0072
Root relative squared error
0.6963 ± 0.0241
SciMark benchmark
1416.9083