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

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)...

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Main Authors: Obvious Nchimunya Chilyabanyama (Author), Roma Chilengi (Author), Michelo Simuyandi (Author), Caroline C. Chisenga (Author), Masuzyo Chirwa (Author), Kalongo Hamusonde (Author), Rakesh Kumar Saroj (Author), Najeeha Talat Iqbal (Author), Innocent Ngaruye (Author), Samuel Bosomprah (Author)
Format: Book
Published: MDPI AG, 2022-07-01T00:00:00Z.
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Call Number: A1234.567
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