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

• 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.
• Subjects: article
• Online Access: Connect to this object online.

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)...