Help Understanding Cross Validation and Decision Trees

Question

I\'ve been reading up on Decision Trees and Cross Validation, and I understand both concepts. However, I\'m having trouble understanding Cross Validation as it pertains to D

Answer 1

The main point of using cross-validation is that it gives you better estimate of the performance of your trained model when used on different data.

Which tree do you pick? One option would be that you bulid a new tree using all your data for training set.