You are tasked with optimizing a Decision Tree that is underperforming. What pruning techniques might you consider, and why?
- Add more training data
- Cost Complexity Pruning, Reduced Error Pruning
- Increase the number of features
- Increase tree depth
Cost Complexity Pruning and Reduced Error Pruning are techniques to control the complexity of the tree, preventing overfitting and potentially improving performance. They help by removing branches that do not add significant predictive power to the model.
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