One Rule Machine Learning Classification Algorithm with Enhancements

Implements the One Rule (OneR) Machine Learning classification algorithm (Holte, R.C. (1993) ) 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.

OneR

This R package implements the One Rule (OneR) Machine Learning classification algorithm 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.

Documentation

This video gives a step-by-step introduction: Quick Start Guide for the OneR package

You can find the vignette and full documentation in the package and on CRAN: OneR: One Rule Machine Learning Classification Algorithm with Enhancements

Installation

Install the latest version from GitHub:

install.packages("devtools")
library(devtools)
install_github("vonjd/OneR")

Install from CRAN:

install.packages("OneR")

Contact

I would love to hear about your experiences with the OneR package. Please drop me a note - you can reach me at my university account: Holger K. von Jouanne-Diedrich