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Academic performance prediction based on voting technique

Student's grade has always been critical issues that occur quite often in universities providing high learning education. Currently there are many techniques to predict student's grade. In this paper we compare the accuracy of data mining methods to classifying students in order to predic...

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Main Authors: Mohd Azmi, Muhammad Sufyian, Mohamad Paris, Ikmal Hisyam
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/45518/1/Academic%20performance%20prediction%20based%20on%20voting%20technique.pdf
http://psasir.upm.edu.my/id/eprint/45518/
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spelling my.upm.eprints.455182020-08-07T02:24:52Z http://psasir.upm.edu.my/id/eprint/45518/ Academic performance prediction based on voting technique Mohd Azmi, Muhammad Sufyian Mohamad Paris, Ikmal Hisyam Student's grade has always been critical issues that occur quite often in universities providing high learning education. Currently there are many techniques to predict student's grade. In this paper we compare the accuracy of data mining methods to classifying students in order to predicting student's class grade. These predictions are more useful for identifying weak students and assisting management to take remedial measures at early stages to produce excellent graduate that will graduate at least with second class upper. Firstly we examine single classifiers accuracy on our data set and choose the best one and then ensembles it with a weak classifier to produce simple voting method. We present results show that combining different classifiers outperformed other single classifiers for predicting student performance. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45518/1/Academic%20performance%20prediction%20based%20on%20voting%20technique.pdf Mohd Azmi, Muhammad Sufyian and Mohamad Paris, Ikmal Hisyam (2011) Academic performance prediction based on voting technique. In: 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN 2011), 27-29 May 2011, Xi'an, China. (pp. 24-27). 10.1109/ICCSN.2011.6014841
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Student's grade has always been critical issues that occur quite often in universities providing high learning education. Currently there are many techniques to predict student's grade. In this paper we compare the accuracy of data mining methods to classifying students in order to predicting student's class grade. These predictions are more useful for identifying weak students and assisting management to take remedial measures at early stages to produce excellent graduate that will graduate at least with second class upper. Firstly we examine single classifiers accuracy on our data set and choose the best one and then ensembles it with a weak classifier to produce simple voting method. We present results show that combining different classifiers outperformed other single classifiers for predicting student performance.
format Conference or Workshop Item
author Mohd Azmi, Muhammad Sufyian
Mohamad Paris, Ikmal Hisyam
spellingShingle Mohd Azmi, Muhammad Sufyian
Mohamad Paris, Ikmal Hisyam
Academic performance prediction based on voting technique
author_facet Mohd Azmi, Muhammad Sufyian
Mohamad Paris, Ikmal Hisyam
author_sort Mohd Azmi, Muhammad Sufyian
title Academic performance prediction based on voting technique
title_short Academic performance prediction based on voting technique
title_full Academic performance prediction based on voting technique
title_fullStr Academic performance prediction based on voting technique
title_full_unstemmed Academic performance prediction based on voting technique
title_sort academic performance prediction based on voting technique
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/45518/1/Academic%20performance%20prediction%20based%20on%20voting%20technique.pdf
http://psasir.upm.edu.my/id/eprint/45518/
_version_ 1675328733535272960
score 13.211869

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