Information gain ratio
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In decision tree learning, information gain ratio is a ratio of information gain to the intrinsic information. It was proposed by Ross Quinlan,[1] to reduce a bias towards multi-valued attributes by taking the number and size of branches into account when choosing an attribute.[2]
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Information gain is also known as mutual information.[3]