Les Endahti

Evaluating the Impact of SMOTE-Based Data Balancing on Decision Bias and Algorithmic Fairness in XGBoost-Based Student Dropout Prediction

Student dropout prediction is a key application of Educational Data Mining for supporting early intervention in higher education. However, previous studies have primarily focused on improving predictive accuracy, while the effects of data balancing on decision bias and algorithmic fairness remain underexplored. This st...