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Using the Target Encoding operator
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?
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Best Answer
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OptionsTelcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 UnicornYes, you can do that, but you don't actually need to do any attribute encoding for Decision Trees. All types of input data are handled by Decision Trees automatically.
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