Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
Ron Kohavi, David H. Wolpert: Bias Plus Variance Decomposition for Zero-One Loss Functions. In: Machine Learning: Proceedings of the Thirteenth International Conference, 275-283, 1996.
BibTeX:
@inproceedings{Kohavi1996,
author = {Ron Kohavi and David H. Wolpert},
booktitle = {Machine Learning: Proceedings of the Thirteenth International Conference},
editor = {Lorenza Saitta},
pages = {275-283},
publisher = {Morgan Kaufmann},
title = {Bias Plus Variance Decomposition for Zero-One Loss Functions},
year = {1996},
PS = {http://robotics.stanford.edu/~ronnyk/biasVar.ps}
}
Valid options are:
-c <class index>
The index of the class attribute.
(default last)
-t <name of arff file>
The name of the arff file used for the decomposition.
-T <training pool size>
The number of instances placed in the training pool.
The remainder will be used for testing. (default 100)
-s <seed>
The random number seed used.
-x <num>
The number of training repetitions used.
(default 50)
-D
Turn on debugging output.
-W <classifier class name>
Full class name of the learner used in the decomposition.
eg: weka.classifiers.bayes.NaiveBayes
Options specific to learner weka.classifiers.rules.ZeroR:
-D
If set, classifier is run in debug mode and
may output additional info to the console
Options after -- are passed to the designated sub-learner.
author:
Len Trigg (trigg@cs.waikato.ac.nz)
version:
$Revision: 1.13 $ | 