Imbalanced Resampling using SMOTE with Boosting (SMOTEWB) R package SMOTEWB version 1.2.5 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. Software Depends: R (>= 4.5) Imports: stats, FNN, RANN, rpart, Rfast Fatih Saglam <saglamf89@gmail.com> Comprehensive R Archive Network (CRAN) Fatih Saglam [aut, cre] (ORCID: <https://orcid.org/0000-0002-2084-2008>) MIT + file LICENSE (https://CRAN.R-project.org/package=SMOTEWB/LICENSE) 2025-10-16 application/tgz https://CRAN.R-project.org/package=SMOTEWB doi:10.32614/CRAN.package.SMOTEWB