General question: Is there any situation when Decision trees analysis benefit of standardised input data?

PTR — Fri, 09 Jun 2023 00:29:05 GMT

In PLS data is standardized by default. For decision tree analysis its not.

Are there any situations when it is recommended to use standardized input data?

// PTR

Re: General question: Is there any situation when Decision trees analysis benefit of standardised input data?

P_Bartell — Fri, 19 Feb 2021 15:02:18 GMT

Here's my two cents...PLS and all linear modeling methods I can think of standardize the predictor variables because it's generally a good idea for computational and interpretational reasons for things like parameter estimates, standard errors, and such. Since decision trees are a non linear modeling method, my sense is standardization doesn't provide many benefits so it's not generally practiced.

I'd love to read other's comments.

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General question: Is there any situation when Decision trees analysis benefit of standardised input data?

Re: General question: Is there any situation when Decision trees analysis benefit of standardised input data?