imbalanceKit: Resampling Methods and Tools for Imbalanced Classification
A collection of resampling methods for class imbalance in
classification problems. Includes the oversampling methods SMOTE with
boosting (SMOTEWB) by F. Sağlam and M. A. Cengiz (2022)
<doi:10.1016/j.eswa.2022.117023>, Markov chain SMOTE (MCSMOTE) by
F. Sağlam and M. A. Cengiz (2025) <doi:10.1016/j.asoc.2025.113906>,
uncertainty guided oversampling (UGO) by F. Sağlam and M. A. Cengiz (2026)
<doi:10.1016/j.knosys.2026.115886>, and bi-directional SMOTE (BiSMOTE) by
F. Sağlam and U. Yamak (2027) <doi:10.1016/j.eswa.2026.134648>, and the
data relocation approach DatRel by F. Sağlam (2025)
<doi:10.1007/s10994-025-06755-8>, which can also be applied to synthetic
samples from any other source, together with commonly used alternatives
such as SMOTE, ADASYN, Borderline-SMOTE, Safe-Level-SMOTE, Radius-SMOTE,
VS-SMOTE, geometric SMOTE, random oversampling and undersampling.
The methods share the same interface: they take a feature matrix and a
factor class variable and return the resampled data together with the
synthetic samples. The package also provides performance metrics for
imbalanced classification and data complexity measures of class
imbalance, class overlap and noise.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
stats, utils, FNN, rpart, Rfast, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
randomForest, nnet, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-11-14 |
| DOI: |
10.32614/CRAN.package.imbalanceKit |
| Author: |
Fatih Saglam 
[aut, cre] |
| Maintainer: |
Fatih Saglam <saglamf89 at gmail.com> |
| License: |
MIT + file LICENSE |
| URL: |
https://fatihsaglam.github.io/imbalanceKit/ |
| NeedsCompilation: |
yes |
| Citation: |
imbalanceKit citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
imbalanceKit results |
Documentation:
Downloads:
Linking:
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