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    A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (Data Science Journal, 2019-04-17)
    School dropout is absenteeism from school for no good reason for a continuous number of days. Addressing this challenge requires a thorough understanding of the underlying issues and effective planning for interventions. ...
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    Machine learning approach for reducing students dropout rates 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (International Journal of Advanced Computer Research, 2019-05-06)
    serious issue in developing countries. On the other hand, machine learning techniques have gained much attention on addressing this problem. This paper, presents a thorough analysis of four supervised learning classifiers ...
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    An Ensemble Predictive Model Based Prototype for Student Drop-out in Secondary Schools 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (Journal of Information Systems Engineering & Management, 2019-08-22)
    When a student is absent from school for a continuous number of days as defined by the relevant authority, that student is considered to have dropped out of school. In Tanzania, for instance, drop-out is when a student is ...

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    AuthorKalegele, Khamisi (3)Machuve, Dina (3)
    Mduma, Neema (3)
    SubjectImbalanced learning classification (2)Machine Learning (ML) (2)feature engineering experiment (1)machine learning (1)predictive model (1)student drop-out (1)visualization module (1)... View MoreDate Issued
    2019 (3)
    Has File(s)
    Yes (3)

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