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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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Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635
Unicorn
Yes, 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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