Students education performance prediction using random forest compared over naive bayes with improved accuracy

A. Gokul Chowdary; S. Ashwini

doi:10.1063/5.0270527

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Students education performance prediction using random forest compared over naive bayes with improved accuracy

A. Gokul Chowdary S. Ashwini

Year: 2025 Journal: AIP conference proceedings Vol: 3267 Pages: 020245-020245 Publisher: American Institute of Physics

DOI: 10.1063/5.0270527

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Keywords:

Random forest Naive Bayes classifier Computer science Machine learning Artificial intelligence Bayes' theorem Statistics Support vector machine Bayesian probability Mathematics

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Online Learning and Analytics

Physical Sciences → Computer Science → Computer Science Applications

Educational Technology and Assessment

Physical Sciences → Computer Science → Information Systems

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Students education performance prediction using random forest compared over naive bayes with improved accuracy

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