Vinna Rahmayanti Setyaning Nastiti

Fairness Analysis of Random Forest and Support Vector Machine Models for Predicting Student Academic Performance Based on Demographic and Digital Activities

The application of machine learning models in digital education has become increasingly important for predicting student academic performance and supporting early academic interventions. However, predictive accuracy alone is insufficient if models introduce bias against certain demographic groups. This study presents a...