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 + file LICENSE | 
| URL: | https://github.com/vonjd/OneR | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| In views: | MachineLearning | 
| CRAN checks: | OneR results | 
| Reference manual: | OneR.html , OneR.pdf | 
| Vignettes: | OneR - Establishing a New Baseline for Machine Learning Classification Models (source, R code) | 
| 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 imports: | tidybins | 
Please use the canonical form https://CRAN.R-project.org/package=OneR to link to this page.