Predict high school students' final grades using basic machine learning

Abstract

To improve the quality of students, teachers must be able to take precautionary measures to deal with students who are lacking or have the potential to experience deficiency. Student ratings are temporary, however, have a profound impact on students' mental and enthusiasm for learning. As a teacher, it is very important to make predictions in dealing with this matter because if the ranking has been issued, it is too late. By using MAE (Mean Absolute Error), this study got a value of 1.09 which is very close to the value in the test, it showed how close our prediction models were with a very small percentage of error.In this article, we will discuss and make Student grade predictions using basic machine learning, we will also discuss the continuity between student data and machine learning. We hope this research will help teachers, people in the education industry or even parents to know more about predicting student final grades and can help them take preventive action.