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.
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data Breast Cancer Wisconsin Original Data Set now included Jul 25, 2016
man changed argument name 'x' to 'formula' in S3 methods May 1, 2017
vignettes changed link to reference in vignette May 5, 2017
.Rbuildignore
.gitignore speedup of OneR and optbin/infogain Apr 28, 2017
DESCRIPTION changed reference for auto-linking of doi May 5, 2017
LICENSE Modified LICENSE file according to CRAN policy May 5, 2017
NAMESPACE S3 method interface added to OneR function May 1, 2017
NEWS Set release date for v2.2 May 4, 2017
OneR.Rproj added a vignette Jul 25, 2016
README.md Updated README file Jun 4, 2018

README.md

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 stable version from CRAN:

install.packages("OneR")

Install the latest development version from GitHub:

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