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OneR  

One Rule Machine Learning Classification Algorithm with Enhancements
View on CRAN: Click here


Download and install OneR package within the R console
Install from CRAN:
install.packages("OneR")

Install from Github:
library("remotes")
install_github("cran/OneR")

Install by package version:
library("remotes")
install_version("OneR", "2.2")



Attach the package and use:
library("OneR")
Maintained by
Holger von Jouanne-Diedrich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-20
Latest Update: 2017-05-05
Description:
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.
How to cite:
Holger von Jouanne-Diedrich (2016). OneR: One Rule Machine Learning Classification Algorithm with Enhancements. R package version 2.2, https://cran.r-project.org/web/packages/OneR. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.2 (2016-06-20 10:20), 1.3 (2016-07-22 15:36), 2.0 (2016-08-12 11:12), 2.1 (2016-10-24 23:36)
Other packages that cited OneR R package
View OneR citation profile
Other R packages that OneR depends, imports, suggests or enhances
Complete documentation for OneR
Functions, R codes and Examples using the OneR R package
Some associated functions: OneR . bin . breastcancer . eval_model . is.OneR . maxlevels . optbin . plot.OneR . predict.OneR . print.OneR . summary.OneR . 
Some associated R codes: OneR.R . OneR_data.R . OneR_internal.R . OneR_main.R .  Full OneR package functions and examples
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