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.
- Version2.1.0
- R version≥ 2.10
- LicenseMIT
- Needs compilation?Yes
- Last release07/12/2017
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Team
Matthew Olson
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- Imports4 packages
- Suggests3 packages
- Linking To1 package
- Reverse Suggests1 package