Imbalanced data refers to datasets where certain classes or outcomes are underrepresented compared to others. In epidemiology, this often occurs when the prevalence of a disease is significantly lower than the absence of the disease. For example, in studying rare diseases or conditions, the number of cases (positive instances) is vastly outnumbered by the number of non-cases (negative instances).
