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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Bibliographic Details

Published in:	Children Vol. 9; no. 7
Main Authors:	Chilyabanyama, Obvious Nchimunya, Chilengi, Roma, Simuyandi, Michelo, Chisenga, Caroline C., Chirwa, Masuzyo, Hamusonde, Kalongo, Saroj, Rakesh Kumar, Iqbal, Najeeha Talat, Ngaruye, Innocent, Bosomprah, Samuel
Format:	equations & formulas research tables/charts Journal Article
Published:	MDPI Jul2022
Online Access:	View this record in EBSCOhost