Hi there,I'm looking for some help with an assignment. We've been given good instructions on building a decision tree using rpart() and then use cross validation to build a better model, build that...

Hi there,I'm looking for some help with an assignment. We've been given good instructions on building a decision tree using rpart() and then use cross validation to build a better model, build that new tree and compare it to the original tree.My issue is that my new tree is returning the same as the old tree and I just wanted to discuss why this might be happening and to what extent rpart() optimizes the original decision tree.Data set is very simple heart disease data set.