<p>The best model was the Gradient Boosting Classifier, which had a training accuracy of 80.49%. The test accuracy, sensitivity, specificity, and F1 were calculated using the confusion matrix, yielding a model that could correctly classify stunting cases at 79.33%, identify stunted children at 72.51%, and categorize non-stunted children at 94.49%, with an area under the curve of 0.89. The model found that the mother's height had an OR of 2.21, television viewing had an OR of 1.98, the child's age had an OR of 1.71, the province had an OR of 1.54, the mother's education had an OR of 1.34, birth weight had an OR of 1.30, and birthing size had an OR of 1.30.</p>