Rahmad Hidayat

Weight-Based Oversampling and Overlapping Data Modification for Imbalanced Student Dropout Prediction

Predicting student dropout in higher education is challenging due to class imbalance and class overlap, particularly in multiclass classification. This study presents a hybrid method that combines weight-based oversampling and energy-based cleaning to address class imbalance and class overlap. The method generates synt...