Author

N. Syambas

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Open access Aug 2026

Data-Driven Prediction of Student Failure Using Ensemble Machine Learning Models

This study employs a hybrid ensemble stacking approach to improve predictions of student failure based on AKMI scores and underscores the potential of ensemble learning models in leveraging AKMI data for early identification of students at academic risk.

E. A. Z. Hamidi, N. R. Syambas, Hendrawan et al. · Emerging Science Journal · 0 citations