Comparison of K-Nearest Neighbor, Naïve Bayes, and C4.5 Algorithms for Predicting Academic Stress Risk in Students Based on Psychological Survey Data
Academic stress is a psychological problem experienced by many students and can have an impact on learning achievement, mental health, and quality of life. This study aims to compare the performance of the K-Nearest Neighbor (KNN), Naïve Bayes, and C4.5 (Decision Tree) algorithms in predicting the l...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Politeknik Negeri Batam
2026-02-01
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| Серія: | Journal of Applied Informatics and Computing |
| Предмети: | |
| Онлайн доступ: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11932 |
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