Data Mining-Based Student’s Performance Evaluator

This paper is based on the study of different data mining techniques that are used to analyze and predict students’ academic performance. The data mining application in education is the most promising tool for educational participation. The educational institution can apply this concept for students’ performance analysis. In this study, the authors have collected students’ academic data and three data mining algorithms related to classification, i.e., Naive Bayes, Decision Tree, and Convolutional Neural Network were used on the dataset. The prediction performance of three classifiers is compared and measured. This study will help educational institutes improve student academic performance.