Fig. 2: Overview of classifier performance.
From: A serum proteomic study of two case-control cohorts identifies novel biomarkers for bipolar disorder
Boxplots showing (a) classification metrics (accuracy, area under receiver operating curve (AUROC), Cohen’s kappa, Matthew’s correlation coefficient (MCC), log loss), and (b) importance score for the ten most influential proteins across the 25 outer loops (5 folds × 5 repeats). CXCL16 C-X-C motif chemokine 16, IL-1ra Interleukin 1 receptor alpha, AM Pro-adrenomedullin, GH Somatotropin, SRC proto-oncogene tyrosine-protein kinase Src, GDF-15 growth/differentiation factor 15, MMP-7 matrilysin, EGF pro-epidermal growth factor, TGF-alpha protransforming growth factor alpha, TNFSF14 tumor necrosis factor ligand superfamily member 14.
