A Stacking Ensemble Machine Learning Framework for Predicting Academic Performance and Identifying At-Risk Students in Rural Secondary Schools: Evidence from Aurangabad District, Maharashtra
Secondary rural schools need to be able to identify at-risk students prior to the conclusion of Class 10 exams. This research project developed and tested a machine-learning approach for predicting three tasks: pass or fail, percentage scores, and the most probable subject of failure. The dataset consisted of approxima...