Gain ratio is a metric used in decision tree algorithms to measure the effectiveness of a feature in classifying data. It helps to determine which feature contributes the most information gain relative to its intrinsic value, balancing the need for predictive power with the complexity introduced by adding more features. By using gain ratio, one can select features that not only improve model accuracy but also prevent overfitting.
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