Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification

Students’ performance prediction can have many uses in the education sector. It helps to take measures to support struggling students and to improve course delivery. However, having meaningful explanations along each prediction is essential for the reliability of the predictions and hence is desirable. In this work, we propose a method for predicting student performance while generating explanatio...