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Under which circumstances is the Train-Test Split method preferred over Cross-Validation for evaluating machine learning models?
A
When the model's interpretability needs to be maximized.
B
When there's an abundance of computational resources and time.
C
When dealing with large datasets or complex models and computational efficiency is a priority.
D
When the training process can be significantly accelerated through parallelization.
