Often, performance is estimated in aggregate on the entire test-set (in a split), regardless of their covariate- or attribute characteristics.. hence looking into performance estimates segregated by certain characteristics of covariates would reveal additional insights - such as difference in AUC in men vs women, or across different age bins, or between sites etc.