Fig. 3
From: ProInflam: a webserver for the prediction of proinflammatory antigenicity of peptides and proteins
ROC plots of prediction models developed using SVMlight as machine learning technique. The DPCHyb_BETTS model (shown in blue) achieved highest area under curve (AUC = 0.88 as given in Table 3)