Aycee P. Ibañez

A comparative study of manual and machine learning approaches for predicting student academic performance using extreme gradient boosting with shapley additive explanations

Predicting student performance is vital in order to make appropriate decisions and intervene in time. The main goal of the present study is to develop an explainable model using Shapley Additive Explanations and Extreme Gradient Boosting techniques, and to evaluate its performance against a traditional manual rule-base...