Question: Explain the equivalent of information gain when the outcome variable from a decision tree is numeric. What do we compute instead? How do we compute

Explain the equivalent of "information gain" when the outcome variable from a decision tree is numeric. What do we compute instead? How do we compute it? How do we decide which input variable split is the "best" at a given node?

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