Package: SMOTEWB 1.2.6

SMOTEWB: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)

Provides the SMOTE with boosting (SMOTEWB) algorithm, where SMOTE is the synthetic minority over-sampling technique. 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. This package is superseded by the 'imbalanceKit' package, which contains all of its methods and more.

Authors:Fatih Saglam [aut, cre]