Fig. 2From: Comparative analysis of explainable machine learning prediction models for hospital mortalityReceiver operating characteristics (ROC) curves. The true positive rate is plotted against the false positive rate for different risk thresholds. A perfect classifier has an AUC of 1, while a random classifier will have an ROC curve along the line x=y and an AUC of 0.5Back to article page