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Which technique is typically used to prevent overfitting in a decision tree classifier?
Which technique is typically used to prevent overfitting in a decision tree classifier?
A . Increasing the depth of the tree indefinitely
B . Using a linear kernel instead of a polynomial kernel
C . Pruning the tree to remove non-significant branches
D . Applying PCA before training the classifier
Answer: C
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