Predicting Academic Performance in Computational Sciences: Utilising Naive Bayes and SVM Models with Student Interest and Course Data

Ikpotokin Osayomore; Lekia Nkpordee; Yusuf Abass Aleshinloye; Osasumwen Usen

doi:10.1504/ijdats.2026.10076100

January 1, 2026International Journal of Data Analysis Techniques and Strategies

Predicting Academic Performance in Computational Sciences: Utilising Naive Bayes and SVM Models with Student Interest and Course Data

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Key Points

Academic performance can be effectively predicted using naive bayes and SVM models, highlighting their utility in educational settings.
Key evidence shows that incorporating student interest data enhances the predictive power of the models.
Assessment using predictive modeling techniques demonstrated a significant correlation between course data and student success.
This approach suggests that tailored academic strategies could improve performance, though further studies are necessary.

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Implication

Observational analysis reveals predictive modeling for academic performance using SVM in students, indicating improved outcomes for course selection.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Osayomore et al. (2026) studied this question.

synapsesocial.com/papers/69a76022c6e9836116a2c93d https://doi.org/10.1504/ijdats.2026.10076100

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Predicting Academic Performance in Computational Sciences: Utilising Naive Bayes and SVM Models with Student Interest and Course Data

Key Points

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Implication

Abstract

Discussion

Cite This Study

Predicting Academic Performance in Computational Sciences: Utilising Naive Bayes and SVM Models with Student Interest and Course Data

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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