adabag

cranv5.1

Applies Multiclass AdaBoost.M1, SAMME and Bagging. It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done. Since version

License GPL (>= 2)0 versions1 maintainers8 deps1,851 weekly dl
https://CRAN.R-project.org/package=adabag
43
/ 100
Health
safe to use

[email protected] is safe to use (health: 43/100)

Health breakdown0 – 100
10/25
maintenance
6/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependency Tree

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Dependencies (8)
rpartcaretforeachdoParallelmethodstidyrdplyrConsRank
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First published · 2025-08-01 07:20:38

Last updated · 2025-07-28T09:40:02+00:00