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Question on validation and AFE (Automatic Feature Engineering)

pblack476pblack476 Member Posts: 83  Maven
edited November 2019 in Help
Newbie here.

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?

Best Answer


  • sgenzersgenzer 12Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,938  Community Manager
    cc @IngoRM
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