Performance analysis of students using machine learning & data mining approach

Abstract

Performance evaluation of students is essential to check the feasibility of improvement. Regular evaluation not only improves the performance of the student but also it helps in understanding where the student is lacking. It takes a lot of manual effort to complete the evaluation process as even one college may contain thousands of students. This paper proposed an automated solution for the performance evaluation of the students using machine learning. A threshold-based segmentation is employed to complete the evaluation procedure over MATLAB simulation tool. The performance of machine learning is evaluated by accuracy and mean square error.