Figure 3

Scatterplots between the stability and predictive performance (AUC) of feature selection (FS) (Left) and classification methods (CF) (right).

Feature selection methods having stability ≥0.735 (median stability of FS) and AUC ≥ 0.615 (median AUC of FS) are considered as highly reliable and predictive methods. Similarly, classification methods having RSD ≤ 5.97 (median RSD of CF) and AUC ≥ 0.61 (median AUC of CF) are considered as highly reliable and accurate ones. Highly reliable and predictive methods are displayed in a gray square region.