Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia

• Главные авторы: Obvious Nchimunya Chilyabanyama (Автор), Roma Chilengi (Автор), Michelo Simuyandi (Автор), Caroline C. Chisenga (Автор), Masuzyo Chirwa (Автор), Kalongo Hamusonde (Автор), Rakesh Kumar Saroj (Автор), Najeeha Talat Iqbal (Автор), Innocent Ngaruye (Автор), Samuel Bosomprah (Автор)
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• Опубликовано: MDPI AG, 2022-07-01T00:00:00Z.
• Предметы: article
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Stunting is a global public health issue. We sought to train and evaluate machine learning (ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to predict stunting among children under the age of five in Zambia. We applied Logistic regression (LR), Random Forest (RF)...