Question: What is the main criticism of the simple split method in classification estimation? It assumes that the data in the training and test sets have

What is the main criticism of the simple split method in classification estimation?
It assumes that the data in the training and test sets have the exact same properties.
It requires excessive computational resources.
It relies too heavily on interpretability over predictive accuracy.
It is biased towards certain types of data distributions.

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