ROBOSRMSMOTE
Robust Oversampling with RM-SMOTE for Imbalanced Classification
v1.0.0
·
Mar 9, 2026
·
GPL-3
Description
Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) <doi:10.1007/s10260-025-00819-8>.
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| r-release-linux-x86_64 | OK |
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OK 6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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1.0.0
Mar 10, 2026