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SMOTEWB  

Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
View on CRAN: Click here


Download and install SMOTEWB package within the R console
Install from CRAN:
install.packages("SMOTEWB")

Install from Github:
library("remotes")
install_github("cran/SMOTEWB")

Install by package version:
library("remotes")
install_version("SMOTEWB", "1.2.0")



Attach the package and use:
library("SMOTEWB")
Maintained by
Fatih Saglam
[Scholar Profile | Author Map]
First Published: 2022-12-20
Latest Update: 2024-01-13
Description:
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.
How to cite:
Fatih Saglam (2022). SMOTEWB: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB). R package version 1.2.0, https://cran.r-project.org/web/packages/SMOTEWB. Accessed 23 Apr. 2025.
Previous versions and publish date:
0.1.0 (2022-12-20 20:40), 0.1.3 (2023-01-22 00:20), 0.1.5 (2023-01-30 10:20), 1.0.1 (2023-04-19 12:40), 1.1.3 (2024-01-13 09:00)
Other packages that cited SMOTEWB R package
View SMOTEWB citation profile
Other R packages that SMOTEWB depends, imports, suggests or enhances
Complete documentation for SMOTEWB
Functions, R codes and Examples using the SMOTEWB R package
Some associated functions: ROS . RUS . SMOTE . SMOTEWB . 
Some associated R codes: ROS.R . RUS.R . SMOTE.R . SMOTEWB.R . boosted_weights.R .  Full SMOTEWB package functions and examples
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