An alternative metric, used in previous studies (Wang et al., 2013;Tsai and Wang, 2014;Kogan et al., 2009) is Mean Squared Error M SE = i (ŷ i − y i ) 2 /n.
especially when comparing models, applied on different test sets (e.g.