Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment

Figure 6 Utilizing machine learning to evaluate potential diagnostic biomarkers in candidate screening. A and B: Screening of biomarkers in the Lasso model. For diagnosis, the most appropriate gene count (n = 4) is the one that corresponds to the lowest point on the curve; C and D: The error is displayed by the random forest algorithm. The importance score is used to rank genes; E: The Venn diagram illustrates that the above two algorithms have identified three potential diagnostic genes: H2-T24, Rac3 and Tfrc.