C50: C5.0 Decision Trees and Rule-Based Models

C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).

Depends: R (≥ 2.10.0)
Imports: partykit, Cubist (≥ 0.2.3)
Suggests: knitr, modeldata
Published: 2020-05-26
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Mark Culp [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), RuleQuest Research [cph] (Copyright holder of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer: Max Kuhn <mxkuhn at gmail.com>
BugReports: https://github.com/topepo/C5.0/issues
License: GPL-3
URL: https://topepo.github.io/C5.0
NeedsCompilation: yes
Materials: NEWS
In views: MachineLearning
CRAN checks: C50 results


Reference manual: C50.pdf
Vignettes: C5.0 Classification Models
Class Probability Calculations
Package source: C50_0.1.3.1.tar.gz
Windows binaries: r-devel: C50_0.1.3.1.zip, r-release: C50_0.1.3.1.zip, r-oldrel: C50_0.1.3.1.zip
macOS binaries: r-release: C50_0.1.3.1.tgz, r-oldrel: C50_0.1.3.1.tgz
Old sources: C50 archive

Reverse dependencies:

Reverse depends: maboost
Reverse imports: baguette, ebmc, fmf, gencve, imbalance, MetabolomicsBasics, Pigengene, StratifiedRF
Reverse suggests: butcher, condvis2, fscaret, MLPUGS, mlr, parsnip, pdp, plotmo, rules, ssc, SSLR, tidyrules, utiml, vip


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