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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45518/ http://psasir.upm.edu.my/id/eprint/45518/1/Academic%20performance%20prediction%20based%20on%20voting%20technique.pdf |
| _version_ | 1848850512577822720 |
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| author | Mohd Azmi, Muhammad Sufyian Mohamad Paris, Ikmal Hisyam |
| author_facet | Mohd Azmi, Muhammad Sufyian Mohamad Paris, Ikmal Hisyam |
| author_sort | Mohd Azmi, Muhammad Sufyian |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T10:07:28Z |
| format | Conference or Workshop Item |
| id | upm-45518 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:07:28Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Mohd Azmi, Muhammad Sufyian Mohamad Paris, Ikmal Hisyam Academic performance prediction based on voting technique |
| title | 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_short | Academic performance prediction based on voting technique |
| title_sort | academic performance prediction based on voting technique |
| url | http://psasir.upm.edu.my/id/eprint/45518/ http://psasir.upm.edu.my/id/eprint/45518/ http://psasir.upm.edu.my/id/eprint/45518/1/Academic%20performance%20prediction%20based%20on%20voting%20technique.pdf |