During ML model testing, what role does hyperparameter tuning typically play? (Select one)

Isolating individual components to test in isolation.
It is essential for selecting the training dataset.
Hyperparameter tuning fine-tunes the model's parameters based on test results.
The testing phase focuses solely on algorithm design.
Verified Answer
Correct Option - c

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Updated on Thu, 27 Nov 2025