When we have a real-valued input attribute during decision-tree learning, what would be the impact multi-way split with one branch for each of the distinct values of the attribute?
A. It is too computationally expensive.
B. It would probably result in a decision tree that scores badly on the training set and a test set.
C. It would probably result in a decision tree that scores well on the training set but badly on a test set.
D. It would probably result in a decision tree that scores well on a test set but badly on a training set.
Answer:C
When we have a real-valued input attribute during decision-tree learning, what would be the impact multi-way split with one branch for each of the distinct values of the attribute?
A. It is too computationally expensive. B. It would probably result in a decision tree that scores badly on the training set and a test set. C. It would probably result in a decision tree that scores well on the training set but badly on a test set. D. It would probably result in a decision tree that scores well on a test set but badly on a training set.