Comparative Evaluation of Machine Learning Models for Early Prediction of Student Academic Performance Using the Open University Learning Analytics Dataset
Early identification of students at risk of academic failure is a central problem in learning analytics, yet the multi-table, behaviorally heterogeneous, and class-imbalanced nature of educational data complicates reliable prediction. This study develops and comparatively evaluates four supervised machine learning mode...