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 each 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.
[aut, cre]