πŸŽ‰ πŸŽ‰. RAPIDMINER 9.8 IS OUT!!! πŸŽ‰ πŸŽ‰

RapidMiner 9.8 continues to innovate in data science collaboration, connectivity and governance

CLICK HERE TO DOWNLOAD

Using the Target Encoding operator

SVKSVK Member Posts: 1 Contributor I
I want to use the Target Encoding operator on my dataset which has categorical columns. After that I want to build a decision tree using the encoded data. And to avoid overfitting I plan to use Cross Validation. How can I build this process? Do I put the Target Encoding and Decision Tree in one Cross Validation operator?

Best Answer

  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,558   Unicorn
    Solution Accepted
    Yes, you can do that, but you don't actually need to do any attribute encoding for Decision Trees.Β  All types of input data are handled by Decision Trees automatically.

    Brian T.
    Lindon VenturesΒ 
    Data Science Consulting from Certified RapidMiner Experts
    SVK
Sign In or Register to comment.