Fig. 2
From: miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes
Performance of classifying T2DM and HC using selected miRNA biomarker set from nine feature selection settings. A Settings 1, (B) 2, (C) 3, (D) 4, (E) 5, and (F) 6 were configured based on miRDM-rfGA. G Settings 7, (H) 8, and (I) 9 were configured using traditional feature selection methods (F-test and Lasso). In the test set, threefold cross validation was used, and mean AUROC and standard deviation was calculated