What are the different types of pruning techniques, and how are they applied to a Decision Tree?
- Hybrid Pruning, Complexity Pruning
- Partial Pruning, Cost Pruning
- Random Pruning, Error Pruning
- Reduced Error Pruning, Cost Complexity Pruning
Reduced Error Pruning involves replacing a subtree with a leaf node if it doesn't decrease the validation accuracy, while Cost Complexity Pruning adds a penalty term to control tree complexity. These techniques help prevent overfitting by reducing the complexity of the Decision Tree.
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