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SMOTEWB

Sağlam and Mehmet’s (2022) SMOTE with Boosting (SMOTEWB) oversampling algorithm for imbalanced datasets.

The package also includes faster versions of popular resampling methods, ADASYN, Borderline SMOTE (BLSMOTE), Random Over-Sampling (ROS), Random Under-Sampling (RUS), Safe-Level SMOTE (SLSMOTE), Relocating Safe-Level SMOTE (RSLSMOTE), and Random Over-Sampling Examples (ROSE).

R installation

devtools::install_github(“https://github.com/fatihsaglam/SMOTEWB”)

References

Sağlam, F., & Cengiz, M. A. (2022). A novel SMOTE-based resampling technique trough noise detection and the boosting procedure. Expert Systems with Applications, 200, 117023.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.