Systematic benchmarking of oversampling, undersampling, and hybrid sampling techniques using SMOTE-CCU+ with statistical validation and ablation analysis
The persistent challenge of class imbalance continues to hinder predictive accuracy and fairness in Educational Data Mining (EDM), particularly in modelling academic performance and student behaviour. In this study, we present a comprehensive benchmark of resampling strategies encompassing oversampling, undersampli...