Fig. 2
From: An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children
Performance of ML models for diagnosing KD. (a) ROC curve of various ML models. (b) AUCs of the top 5 best-performing models with varying numbers of features. (c) AUC, F1-score, sensitivity, and specificity of XGBoost across different numbers of features.
