Rupal Parekh

An Explainable Stacking Ensemble Learning Framework for Early Student Attrition Prediction and Risk Stratification Using Educational Data Mining

An XAI-based stacking ensemble for early prediction of student attrition with EDM methods and developed model interpretability by SHAP and LIME showed that student performance and financial situation played a significant role in predicting the risk of attrition at early stages of study.