Manuscript Number : IJSRSET2073124

Predict Students' Performance by Using J48 Algorithm

Authors(2) :-Myo Thandar Tun, Yin Yin Htay

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%.

Authors and Affiliations

Myo Thandar Tun
Information Technology Supporting and Maintenance Department, University of Computer Studies, Mandalay, Myanmar
Yin Yin Htay
Faculty of Information Science, University of Computer Studies, Magway, Myanmar

Data Mining, Student Academic Performance, Classification, J48 algorithm.

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Publication Details

Published in : Volume 7 | Issue 3 | May-June 2020
Date of Publication : 2020-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 578-582
Manuscript Number : IJSRSET2073124
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Myo Thandar Tun, Yin Yin Htay, " Predict Students' Performance by Using J48 Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.578-582, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET2073124      Journal URL : https://res.ijsrset.com/IJSRSET2073124

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