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C50  

C5.0 Decision Trees and Rule-Based Models
View on CRAN: Click here


Download and install C50 package within the R console
Install from CRAN:
install.packages("C50")

Install from Github:
library("remotes")
install_github("cran/C50")

Install by package version:
library("remotes")
install_version("C50", "0.2.0")



Attach the package and use:
library("C50")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-30
Latest Update: 2025-04-03
Description:
C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).
How to cite:
Max Kuhn (2012). C50: C5.0 Decision Trees and Rule-Based Models. R package version 0.2.0, https://cran.r-project.org/web/packages/C50. Accessed 18 Sep. 2026.
Previous versions and publish date:
0.0.9 (2012-08-30 20:36), 0.1.0-013 (2012-10-19 19:53), 0.1.0-14 (2013-02-21 07:52), 0.1.0-15 (2013-05-27 16:56), 0.1.0-16 (2014-02-04 10:32), 0.1.0-19 (2014-06-07 08:13), 0.1.0-21 (2014-11-18 17:16), 0.1.0-24 (2015-03-09 07:39), 0.1.1 (2017-12-01 19:50), 0.1.2 (2018-05-22 22:55), 0.1.3.1 (2020-05-26 07:13), 0.1.3 (2020-01-13 11:00), 0.1.4 (2021-05-16 07:00), 0.1.5 (2021-06-01 10:00), 0.1.6 (2022-02-05 14:50), 0.1.7 (2022-11-09 09:40), 0.1.8 (2023-02-08 19:30), (2026-07-09 07:59)
Other packages that cited C50 R package
View C50 citation profile
Other R packages that C50 depends, imports, suggests or enhances
Complete documentation for C50
Functions, R codes and Examples using the C50 R package
Some associated functions: C5.0 . C5.0Control . C5imp . as.party.C5.0 . plot.C5.0 . predict.C5.0 . summary.C5.0 . 
Some associated R codes: C5.0.R . as.party.C5.0.R . cost_matrix.R . formatAttributes.R . predict.C5.0.R .  Full C50 package functions and examples
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