JOUSBoost (2.1.0)

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Implements Under/Oversampling for Probability Estimation.

Implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.

Maintainer: Matthew Olson
Author(s): Matthew Olson [aut, cre]

License: MIT + file LICENSE

Uses: doParallel, foreach, Rcpp, rpart, testthat, knitr, rmarkdown

Released almost 3 years ago.

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