Fig 2.

Receiver operator characteristic (ROC) curve of different machine learning algorithms with fivefold cross-validation for best performing (A) single biomarker, (B) combination of two, and (C) three different biomarkers. The dotted light gray line indicates the minimal TPP target with 90% sensitivity and 70% specificity. With the signature consisting of I-309, SYWC, and kallistatin the TPP could be reached by the random forest algorithm. AUC, area under the curve; SVM, support vector machine.