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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Detalles Bibliográficos

Publicado en:	Children Vol. 9; no. 7
Autores principales:	Chilyabanyama, Obvious Nchimunya, Chilengi, Roma, Simuyandi, Michelo, Chisenga, Caroline C., Chirwa, Masuzyo, Hamusonde, Kalongo, Saroj, Rakesh Kumar, Iqbal, Najeeha Talat, Ngaruye, Innocent, Bosomprah, Samuel
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	MDPI Jul2022
Acceso en línea:	Ver este registro en EBSCOhost