Eka Qadri Nuranti

Comparative Evaluation of Ensemble Learning Models for Prenatal Stunting Risk Assessment Based on Maternal Health Data

Stunting remains a significant public health challenge, where interventions are often delayed as they occur postnatally. This research aims to shift the detection focus to the prenatal phase by comparing the performance of four Ensemble Learning algorithms: Random Forest, XGBoost, CatBoost, and Light Gradient Boosting...