Question: 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
What are common methods to prevent overfitting in decision trees? Limiting

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