Question: Assume that I have two decision tree classifiers that provide the same accuracy over a training set of data. Why would I generally prefer the

Assume that I have two decision tree classifiers that provide the same accuracy over a training set of data. Why would I generally prefer the smaller tree over the larger tree, given their equivalent accuracy?

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