JOUSBoost: 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.

AuthorMatthew Olson [aut, cre]
Date of publication2016-09-12 20:55:01
MaintainerMatthew Olson <maolson@wharton.upenn.edu>
LicenseMIT + file LICENSE
Version1.0.0

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