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What are common methods to prevent overfitting in decision trees? Limiting the maximum depth of the tree Reducing the minimum samples required to split a

What are common methods to prevent overfitting in decision trees?

Limiting the maximum depth of the tree

Reducing the minimum samples required to split a node

Pruning the tree after it has been built

Increasing the number of features used at each split

Using bootstrapping techniques

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