The ML models, Logistic Regression (LR) and Gradient Boosting (GB) models, outperformed Window Average (WA) model across the IPC AMN categories. All models achieved an AUC >0.9 for forecasting extreme malnutrition risk (). The WA model struggled in the lower ranges of the IPC AMN scale, particularly in the [10%, 15%) range, whereas the GB model performed consistently well across the ranges.
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The ML models, Logistic Regression (LR) and Gradient Boosting (GB) models, outperformed Window Average (WA) model across the IPC AMN categories. All models achieved an AUC >0.9 for forecasting extreme malnutrition risk (). The WA model struggled in the lower ranges of the IPC AMN scale, particularly in the [10%, 15%) range, whereas the GB model performed consistently well across the ranges.
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2025-05-14
