Run
385669

Run 385669

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 04-04-2015 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

0.8037
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8348
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2734
Cross-validation details (10 times 10-fold Crossvalidation)
420.4176
Cross-validation details (10 times 10-fold Crossvalidation)
0.1781
Cross-validation details (10 times 10-fold Crossvalidation)
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8269
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8503
Cross-validation details (10 times 10-fold Crossvalidation)
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
0.8503
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7236
Cross-validation details (10 times 10-fold Crossvalidation)
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
0.3284
Cross-validation details (10 times 10-fold Crossvalidation)
0.9378
Cross-validation details (10 times 10-fold Crossvalidation)
928.3322
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)