OneR: One Rule Machine Learning Classification Algorithm with Enhancements

Implements the One Rule (OneR) Machine Learning classification algorithm (Holte, R.C. (1993) <doi:10.1023/A:1022631118932>) 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: 2.2
Depends: R (≥ 2.10)
Suggests: knitr, rmarkdown
Published: 2017-05-05
DOI: 10.32614/CRAN.package.OneR
Author: Holger von Jouanne-Diedrich
Maintainer: Holger von Jouanne-Diedrich <holger.jouanne-diedrich at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: MachineLearning
CRAN checks: OneR results


Reference manual: OneR.pdf
Vignettes: OneR - Establishing a New Baseline for Machine Learning Classification Models


Package source: OneR_2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): OneR_2.2.tgz, r-oldrel (arm64): OneR_2.2.tgz, r-release (x86_64): OneR_2.2.tgz, r-oldrel (x86_64): OneR_2.2.tgz
Old sources: OneR archive

Reverse dependencies:

Reverse imports: tidybins


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