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How are decision trees not sensitive to Skewed distributions?

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@Ravi wrote:

Hello,

I don't seem to understand the concept that decision trees are insensitive to Skewed distributions.
I read that this is because it is a non-parametric method. What do we mean by non-parametric method and how does this explain this property of decision trees?
Can someone explain this with an example?

Thanks.

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