Predicting student success in open and distance learning: a comparative evaluation of machine learning models
This study compares Logistic Regression, linear Support Vector Machine, Random Forest and Histogram Gradient Boosting for predicting four student outcomes in open and distance learning (ODL) from the first four weeks of study. Using the Open University Learning Analytics Dataset, the analysis included 27,535...