White-box models can fulfill this need and thus are gaining in popularity. Data Point No. 3: Insights must be actionable for model consumers and business users.

Using stroke risk as an example, the white-box explanatory algorithm might tell a patient that their high risk of stroke, as it was predicted by the black-box model, is consistent with a linear ...