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OneR: One Rule Machine Learning Classification Algorithm withEnhancements

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 h-ab.de>
BugReports:https://github.com/vonjd/OneR/issues
License:MIT + fileLICENSE
URL:https://github.com/vonjd/OneR
NeedsCompilation:no
Materials:README,NEWS
In views:MachineLearning
CRAN checks:OneR results

Documentation:

Reference manual:OneR.html ,OneR.pdf
Vignettes:OneR - Establishing a New Baseline for Machine Learning Classification Models (source,R code)

Downloads:

Package source: OneR_2.2.tar.gz
Windows binaries: r-devel:OneR_2.2.zip, r-release:OneR_2.2.zip, r-oldrel:OneR_2.2.zip
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:CimpleG

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=OneRto link to this page.


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