Akezhan Sabibolda

Hybrid machine learning framework for forecasting and evaluating university rankings

The growing importance of university rankings in higher education requires evaluation methods that are both predictive and interpretable. Traditional ranking approaches are usually based on fixed weighted indicators, while purely data-driven machine learning models often provide limited transparency for institutional d...