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February 27, 2024ARRUS Journal of Social Sciences and Humanities

Evaluating Random Forest Algorithm in Educational Data Mining: Optimizing Graduation on-time prediction using Imbalance Methods

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Authors

RBRizal BakriNANiken Probondani AstutiAAAnsari Saleh Ahmar

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Cite This Study

Bakri et al. (2024) studied this question.

synapsesocial.com/papers/68e7779db6db6435876ec7b4https://doi.org/10.35877/soshum2449
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  5. 5Comparative Analysis of Gradient Boosting, XGBoost, and KNN on Predicting Student Graduation in Imbalance and Balance Data Schemes2025