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In scenarios where efficiency is key, why might a training-validation split be preferred over k-fold cross-validation?
A
It minimizes the number of models that need to be trained, saving time and computational resources.
B
It automatically eliminates all bias from the model training process.
C
It ensures that the results are perfectly reproducible every time.
D
It reduces the necessity to test a wide range of hyperparameter values.
