Student Academic Performance Prediction Using Machine Learning Classification Algorithms

Abstract

There are many factors behind poor academic performance by the students, so to increase their performance in academics there is a need to detect the factors for poor performance. Here six classification algorithms were used on student academic performance dataset to analyze the accuracy and found logistic regression is the best model to produce better accuracy than other algorithms with 97.12%.