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: | , , , , , , , , , |
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| Format: | Book |
| Published: |
MDPI AG,
2022-07-01T00:00:00Z.
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