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You have a model that was trained on one dataset and tested on several others. The scores are not identical, and the team wants to know whether the variation is acceptable or a sign the model is not generalizing well. You need to explain how you would evaluate performance across these datasets.
How do you evaluate the performance of a machine learning model across different datasets?
