The Impact of Recursive Feature Elimination and Information Gain on Machine Learning Models for Student Performance Prediction

Analyzing the impact of recursive feature elimination and information gain techniques on machine learning models for student performance prediction. The research highlights the importance of feature selection in educational data mining.