SOD-FE: a supervised outlier detection and feature engineering approach for student dropout prediction

Researchers have developed a new machine learning approach called SOD-FE to predict student dropout rates in higher education. The method uses outlier detection and feature engineering to improve the accuracy of retention intervention systems.