Accurate predictive models rely on an optimal subset of a given feature set for a given population. The given set of features in the current study better predicted AUD females than males, and AA-AUD than EA-AUD, implying the need to continue and search for group-specific variables with importance or ‘strength’ relatable to each group. For example, the low prediction score of both male groups might relate to the models’ limited genetic discriminative features (i.e., only one SNP was implicated in any of the male models) in comparison to the females’ models (where 4–5 SNPs were implicated).
