This code performs classification using a Support Vector Machine (SVM) algorithm combined with CURE-SMOTE oversampling.


It is designed to handle imbalanced datasets and evaluate the model performance through k-fold cross-validation.

GitHub:
https://github.com/aidamohseni/SMOTE-Enhanced-SVM-Classification-with-Stratified-K-Fold