The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.pdf |
| Vignettes: |
OneR - Establishing a New Baseline for Machine Learning Classification Models |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.