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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Veröffentlicht in:	Expert systems with applications Jg. 238; S. 122136
Hauptverfasser:	Cheng, Biqian, Liu, Yuping, Jia, Yunjian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2024
Schlagworte:	Machine learning methods Metaheuristic optimization algorithms Student performance evaluation XG-Boost Classifier Metaheuristic optimization algorithms XG-Boost Classifier Student performance evaluation Machine learning methods
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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