When the categories in a classification problem possess a natural ordering—such as predicting sequential age groups like baby, toddler, adolescent, and adult—it is appropriate to represent the labels as integers $y \in \{1, 2, 3, \dots\}$. This setup can be cast as an ordinal regression problem, which preserves the inherent ranking among the classes rather than treating them as entirely independent categories.