Question: Why is standard scaling often not necessary for Decision Trees? The split point remains the same even after scaling. It increases computational efficiency: It enhances

Why is standard scaling often not necessary for Decision Trees?
The split point remains the same even after scaling.
It increases computational efficiency:
It enhances the accuracy of the Decision Tree.
Why is standard scaling often not necessary for Decision Trees? The

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