Discussion
A system trained on data from one hospital performs poorly when deployed at another.
What is the most likely explanation?
Answer: C
Different patient populations, equipment and recording practices mean the deployed data differs from the training distribution, and the model's confident predictions become unreliable. Validating on data from the deployment site, and monitoring performance continuously, are the standard responses. Capacity, hardware and convergence would have shown up in the original evaluation. A failure that appears only on deployment points at the data rather than at the model.
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