Fig. 1

Performance of machine learning models to predict normal-variant short stature. This figure shows the Receiver Operating Characteristic (ROC) curves for various machine learning models used to predict normal-variant short stature. The ROC curve plots the true positive rate (sensitivity) against the false positive rate (1-specificity) at various threshold settings. The area under the curve (AUC) for each model is also provided, indicating the model’s overall performance. Higher AUC values represent better model performance