For example, I got an address feature like '32, 5th Avenue', and I could map it to a new feature as '5th Avenue' by only considering about the street part. The latter one will have far less possible values than the origin one. My question is will it perform better in a classification model, especially the tree models [including id3,rf,gdbt,etc.], and why this works/does not work.
Thanks for helping.