R-predbayescor - Classification rule based on Bayesian naive Bayes models
| Website: | http://cran.at.r-project.org/web/packages/predbayescor/index.html |
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| License: | GPL (>=2) |
- Description:
This software is used to predict the binary response based on high dimensional features, for example gene expression data. The data are modelled with Bayesian naive Bayes models. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features will appear stronger. This package provides a way to avoid this bias and yields well-calibrated prediction for the test cases.
Packages
| R-predbayescor-1.1.4-1.fc12.x86_64 [32 KiB] |
Changelog
by pingou (2010-03-26):
- initial package for Fedora |