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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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Váldodahkkit: Nur Annisa Widya Pertiwi, Iwan Setiawan Wibisono
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Politeknik Negeri Batam 2026-02-01
Ráidu:Journal of Applied Informatics and Computing
Fáttát:
Liŋkkat:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11932
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