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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 |
| 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 |
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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.
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