When using AFE I have to choose an operator to go inside the validation I pick in the subprocess. In my case that is Cross-Validation. But when I choose, let's say, a Decision Tree as my learner to cross validate and I get an optimal Feature Set from that. Does that Feature Set translate well if I wanted to apply Deep Learning or SVM or any other learner? Or the results I get from that Feature Engineering are only applicable to a Decision Tree in that case?