Machine Learning for Early Detection of Dropout Risks and Academic Excellence: A Stacked Classifier Approach
Teuku Rizky Noviandy,
Zahriah Zahriah,
Erkata Yandri
et al.
Abstract:Education is important for societal advancement and individual empowerment, providing opportunities, developing essential skills, and breaking cycles of poverty. Nonetheless, the path to educational success is marred by challenges such as achieving academic excellence and preventing student dropouts. Early identification of students at risk of dropping out or those likely to excel academically can significantly enhance educational outcomes through tailored interventions. Traditional methods often fall short in… Show more
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