G. Sajiv

Boosting Classifier Accuracy on Imbalanced Data with an Enhanced SMOTE Approach

2025

Imbalanced datasets present considerable hurdles in machine learning, especially in fields such as healthcare, where precise identification of minority class instances is essential. Conventional resampling techniques, such as SMOTE (Synthetic Minority Oversampling Technique), frequently neglect …