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. 2022 Feb 8;12:55. doi: 10.1038/s41398-022-01819-y

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — 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.