Prediction of Student’s Academic Performance Using Machine Learning- Systematic Review

Abstract

Education has a crucial role to play in the life of a student. During your choice of area, several options before the student are offered. Student skills, ability, family history, the education nature are the key factors in choosing a career track and these factors serve as preparation in the classification training system. Incremental learning techniques manage the past expertise to take future choices and update system. Throughout our work, we use machine learning method or identification models for predicting pupil’s academic success and which can be apply in data mining for education. We want to forecast the effects of such predictive model tests in our research report. During this study, we will also explore how such machine learning’s can contribute to improving an education system by considering the various factors surrounding precision, specificity, quality, frequency etc. I have also mentioned several techniques which were used by so many authors for classifying the students’ performance.