Evaluation of students' performance during the academic period using the XG-Boost Classifier-Enhanced AEO hybrid model
The proactive prediction and systematic classification of students' academic performance empower educational administrators with the invaluable capability to not only pinpoint potential challenges but also to craft targeted strategies and interventions that are tailored to the unique needs of s...
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| Published in: | Expert systems with applications Vol. 238; p. 122136 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
15.03.2024
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| Subjects: | |
| ISSN: | 0957-4174, 1873-6793 |
| Online Access: | Get full text |
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