How do I prune decision trees effectively?

How do I prune decision trees effectively?

Pruning decision trees helps reduce overfitting. You can use techniques like cost complexity pruning or reduced error pruning.

What is cost complexity pruning?

Cost complexity pruning involves removing branches that have little importance, balancing tree complexity and accuracy.

When should I prune my decision tree?

It's best to prune after the tree has been fully grown, especially if you notice overfitting during validation.

Can pruning affect the accuracy of my model?

Yes, proper pruning can improve accuracy by simplifying the model and making it more generalizable to new data.