Synthetic Minority Over-sampling Technique for Student Performance Prediction: A Comparative Analysis of Ensemble and Linear Models

A comparative analysis of ensemble and linear models using Synthetic Minority Over-sampling Technique (SMOTE) for student performance prediction. The study demonstrates the effectiveness of SMOTE in handling imbalanced educational datasets.