Table 1.
Water, sanitation, and hygiene covariates used for algorithm development.
Table 2.
Covariates for algorithm development.
Table 3.
Summary of machine learning algorithms.
Table 4.
Summary of performance measures used to evaluate prediction models.
Table 5.
Descriptive characteristics of dataset.
Table 6.
Recommendations of feature engineering techniques.
Table 7.
Evaluation of algorithms trained to predict stunting.
Fig 1.
Comparative AUROCs of algorithms across feature engineering.