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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>. 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 eacg 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.
Documentation:
Downloads:
Reverse dependencies:
Linking:
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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.
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