MLP
Model Development
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Question 5 of 88

After CrossValidator identifies the best hyperparameter combination, what does it do with the entire training dataset?

AIt discards the entire dataset and returns only the evaluation metric for the best parameter set.
BIt stores the best parameters in a JSON file for later retrieval.
CIt re-fits the Estimator using the best parameter map on the entire dataset.
DIt splits the entire dataset one final time and evaluates the best model on the held-out test fold.

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