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>. Also SMOTEWB provides faster versions of several resampling methods for imbalanced datasets, including SMOTE with Boosting (SMOTEWB), Random Walk Oversampling (RWO), 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).

Version: 1.1.3
Depends: R (≥ 4.2)
Imports: stats, FNN, RANN, rpart, Rfast
Published: 2024-01-13
Author: Fatih Saglam ORCID iD [aut, cre]
Maintainer: Fatih Saglam <saglamf89 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: SMOTEWB citation info
Materials: README
CRAN checks: SMOTEWB results

Documentation:

Reference manual: SMOTEWB.pdf

Downloads:

Package source: SMOTEWB_1.1.3.tar.gz
Windows binaries: r-devel: SMOTEWB_1.1.3.zip, r-release: SMOTEWB_1.1.3.zip, r-oldrel: SMOTEWB_1.1.3.zip
macOS binaries: r-release (arm64): SMOTEWB_1.1.3.tgz, r-oldrel (arm64): SMOTEWB_1.1.3.tgz, r-release (x86_64): SMOTEWB_1.1.3.tgz
Old sources: SMOTEWB archive

Reverse dependencies:

Reverse imports: imbalanceDatRel

Linking:

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