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To control the size of the tree we need to control...

This question belongs to Computer Science Machine Learning
Machine Learning
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To control the size of the tree, we need to control the number of regions. One approach to do this would be to split tree nodes only if the resultant decrease in the sum of squares error exceeds some threshold. For the described method, which among the following are true?
a. It would, in general, help restrict the size of the trees
b. It has the potential to affect the performance of the resultant regression/classification model
c. It is computationally infeasible

Answer & Solution
Correct Answer: Option A
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