Information gain is routinely used to determine how a decision tree splits but it can also be used to determine which features best predict the outcome for each algorithm.
Information Gain and Mutual Information
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Information gain is routinely used to determine how a decision tree splits but it can also be used to determine which features best predict the outcome for each algorithm.
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