Combining cluster quality index and supervised learning to predict students’ academic performance
Predicting students' academic performance can help the institution to take timely action, such as planning intervention measures to improve students’ academic achievement. This study aims to identify the main factors contributing to the postgraduate student’s academic performance. Preliminary p...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/23995/1/72%20-%2092.pdf http://journalarticle.ukm.my/23995/ https://www.ukm.my/apjitm |
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