An Explainable Machine Learning Framework for Predicting Student Academic Outcomes in Higher Education
This study proposes an explainable machine learning framework for predicting student academic outcomes in higher education using the Predict Students' Dropout and Academic Success dataset obtained from the UCI Machine Learning Repository.