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.

Getting started

Package details

AuthorFatih Saglam [aut, cre] (<https://orcid.org/0000-0002-2084-2008>)
MaintainerFatih Saglam <saglamf89@gmail.com>
LicenseMIT + file LICENSE
Version1.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SMOTEWB")

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SMOTEWB documentation built on May 29, 2024, 11:15 a.m.