Question: Two models are applied to a dataset that has been partitioned. Model A is considerably more accurate than model B on the training data, but

Two models are applied to a dataset that has been partitioned. Model A is considerably more accurate than model B on the training data, but slightly less accurate than model B on the validation data. Which model are you more likely to consider for final deployment?

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