Hamza Aliyu Idris

Predicting Student Performance Using Ensemble Learning: An Xgboost Approach with Model Evaluation and Insight

Predicting student academic performance was important for identifying students at risk of poor achievement and supporting timely educational interventions. This study developed and evaluated an XGBoost-based machine learning model for predicting student performance using academic, behavioural, and socioeconomic factors...