Open AccessPredict Students' Performance by Using J48 Algorithm
Author(s) -
M. Tun,
Yin Yin Htay
Publication year - 2020
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset2073124
Subject(s) - c4.5 algorithm , computer science , decision tree , machine learning , statistical classification , data mining , set (abstract data type) , artificial intelligence , algorithm , support vector machine , naive bayes classifier , programming language
The critical issue to the academic community of higher education is to monitor the progress of students’ academic performance. We can use data mining techniques for this purpose. J48 algorithm is one of the famous classification algorithms present today to generate decision trees in data mining technique. The data set used in this study is taken from University of Computer Studies (Mandalay). Weka machine learning tool is applied to make classification. In this work, we tested result classification accuracy was computed. This J48 classification algorithm give accuracy with 78.2%.