Run
326134

Run 326134

Task 4462 (Supervised Classification) rabe_148 Uploaded 26-03-2015 by Joaquin Vanschoren
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Flow

weka.A2DE(3)Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.
weka.A2DE(3)_F1
weka.A2DE(3)_M1.0

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.

22 Evaluation measures

Area under ROC curve
0.9808
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9394
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8788
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
562.7992
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0783
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9395
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9394
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9394
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1566
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2154
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4307
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1274.7011