Overfitted models can mislead policymakers by suggesting incorrect causal relationships or risk factors. This may result in ineffective or even harmful public health interventions. For instance, if an overfitted model incorrectly identifies a common but irrelevant factor as a significant risk factor for a disease, resources might be diverted away from more critical areas.
