Decision Tree (Recursive Feature Elimination or RFE)

Mac2020Mac2020 Member Posts: 18 Learner I
For decision tree process, how can we use Recursive Feature Elimination (RFE) to select those features in a training dataset that are more or most relevant in predicting the target variable.
Thanks you.


  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,453 RM Data Scientist
    Likely you refer to what we call Backwards Elimination.
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • Mac2020Mac2020 Member Posts: 18 Learner I
    Backwards Elimination is one feature selection method but it is not Recursive Feature Elimination (RFE) for feature selection.  Therefore, the result between these two feature selection methods may be different.
    It would be helpful, if Rapidminer can develop other feature selection methods for more flexibility of feature selection method.
    Anyway, thank you for your help and feedback.  
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