Predicting Students’ Performance using the Machine Learning Approach in Educational Data Mining

The objective of this paper is to provide assistance to students, which when given at the appropriate level is invaluable in the learning process. Not only does it aid the student's learning process but it also prevents problems such as student frustration and floundering. Students’ key demographic characteristics and their marks determined using a small number of written assignments, internal exams, attendance, etc., can constitute the training set for a regression method in order to predict their performance and marks. The scope of this work compares some of the state-of-the-art regression methods in this thesis of predicting students'marks. A number of experiments have been conducted using six methods, which were trained using datasets provided by the Hindustan College of Arts and Science.