Lack of generalization != overfitting. Lack of generalization could come from overfitting, underfitting, concept drift, OOD, or could come up for a model where there's no "fitting" at all. It just means that the model cannot operate in situations it hasn't been prepared for
Generalization vs Overfitting: Understanding Model Performance Gaps
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