I trained a model and the blueprint looks like this. I'm trying to understand what are the data processing approach here.
Does DR take all my categorical variables through both ordinal and one-hot encoding, then combine them together? What's the benefit of encoding twice?
Or does it take some categorical variables through ordinal and others through one-hot? If so, where can I find which variables?
And what does the ridge regressor do here?
Any insights are appreciated! Thank you
Hello Ovacation - thanks for reaching out!
Let me see if I can give you some pointers to content that may help.
Please let me know if you are looking for something more - I'm sure other DS community members will be able to help you!