What is “information gain” in decision trees?

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What is “information gain” in decision trees?

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Answer :- It is the entropy of a tree before split minus weighted entropy after split by an attribute.

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The Answer Of What is “information gain” in decision trees? is It is the entropy of a tree before split minus weighted entropy after split by an attribute.