SMOTEWB
Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) doi:10.1016/j.eswa.2022.117023. It is a SMOTE-based resampling technique which creates synthetic data on the links between nearest neighbors. SMOTEWB uses boosting weights to determine where to generate new samples and automatically decides the number of neighbors for eacg sample. It is robust to noise and outperforms most of the alternatives according to Matthew Correlation Coefficient metric. Alternative resampling methods are also available in the package.
- Version1.2.0
- R version≥ 4.2
- LicenseMIT
- Needs compilation?No
- SMOTEWB citation info
- Last release04/08/2024
Documentation
Team
Fatih Saglam
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Dependencies
- Imports4 packages
- Reverse Imports1 package