OneR: One Rule Machine Learning Classification Algorithm with Enhancements

Implements the One Rule (OneR) Machine Learning classification algorithm with enhancements for sophisticated handling of numeric data and missing values together with extensive diagnostic functions. It is useful as a baseline for machine learning models and the rules are often helpful heuristics.

Version: 2.1
Depends: R (≥ 2.10)
Suggests: knitr, rmarkdown
Published: 2016-10-24
Author: Holger von Jouanne-Diedrich
Maintainer: Holger von Jouanne-Diedrich <holger.jouanne-diedrich at h-ab.de>
BugReports: https://github.com/vonjd/OneR/issues
License: MIT + file LICENSE
URL: https://github.com/vonjd/OneR
NeedsCompilation: no
Materials: README NEWS
In views: MachineLearning
CRAN checks: OneR results

Downloads:

Reference manual: OneR.pdf
Vignettes: OneR - Establishing a New Baseline for Machine Learning Classification Models
Package source: OneR_2.1.tar.gz
Windows binaries: r-devel: OneR_2.0.zip, r-release: OneR_2.0.zip, r-oldrel: OneR_2.0.zip
OS X Mavericks binaries: r-release: OneR_2.0.tgz, r-oldrel: OneR_2.0.tgz
Old sources: OneR archive

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