Task: Question Answering
Input (English): Traditionally, when we have a real-valued input attribute during decision-tree learning we consider a binary split according to whether the attribute is above or below some threshold. Pat suggests that instead we should just have a multiway split with one branch for each of the distinct values of the attribute. From the list below choose the single biggest problem with Pat’s suggestion:
(A)It is too computationally expensive. (B)It would probably result in a decision tree that scores badly on the training set and a testset. (C)It would probably result in a decision tree that scores well on the training set but badly on a testset. (D)It would probably result in a decision tree that scores well on a testset but badly on a training set.
Output (English): C