Explanation:
The correct answer is D: 'Post-validation testing of the model.' In the process of Machine Learning, evaluation metrics should be reviewed after testing the model on validation data to assess its performance and make any necessary adjustments.
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In the context of Machine Learning, at what stage should evaluation metrics be reviewed?
A
Prior to model training.
B
Following data cleaning.
C
Before selecting the model type.
D
Post-validation testing of the model.
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