The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).

Abstract: The key to whether artificial intelligence can play a transformative role in the field of education lies in whether it can effectively collaborate with educators and learners. For teachers, ...

Abstract: Data discretization plays a critical role in enhancing the performance of the naive Bayes classifier. Traditional data discretization methods often utilize a two-stage framework, where data ...