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Minimum description length (MDL) principle is used to avoid overfitting in decision trees.

Minimum description length (MDL) principle is used to avoid overfitting in decision trees. Correct Answer True

MDL procedures automatically and inherently protect against overfitting and can be used to estimate both the parameters and the structure of a model. Hence MDL principle is used to avoid overfitting in decision trees and aim at learning a decision tree that on one hand fits the data well while on the other hand is not too large.

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