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    Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

    Published 2023
    “…The results showed that each of the four classification algorithms have an average prediction accuracy of more than 70%, and J48 outperforms other classifiers based on accuracy and classifier errors. …”
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    Thesis