Fig. 3
From: Identification of noval diagnostic biomarker for HFpEF based on proteomics and machine learning
Machine learning in identifying key diagnosis proteins for HFpEF. (A-B) 9 different iterations of the LASSO model’s cross-validation process for adjusting parameter selection. Each curve represents a single protein. LASSO analysis of the coefficients. Plotted at the best lambda are vertical dashed lines. (C) Boruta Algorithm feature score. (D) The intersection of proteins of the above two algorithms is shown in the Venn diagram