Question

If you have multiple predictors with a binary response, why might you prefer a regression tree opposed to a classification tree. What advantage does a regression tree have, even for (eventually) doing classification?

Answer 1

Answer:

The advantages of using regression trees over classification trees is that, using regression trees our final response is quantative in nature so the error terms are more easily interpretable and more closely determine the accuracy of prediction while classifications' response variable are qualitative hence are less interpretable and accuracy of prediction is not that great as given by regression trees.

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