Comparing machine learning models for academic success prediction in online learning
Early-warning models must balance the detection of unsuccessful outcomes with the workload of student support. We compare logistic regression, a decision tree, a random forest, and gradient boosting using 32,593 records from the Open University Learning Analytics dataset. Sixteen features are evaluated at 30, 60, and 9...