Why might pruning be necessary in the construction of a Decision Tree?
- Determine Leaf Nodes
- Increase Complexity
- Increase Size
- Reduce Overfitting
Pruning is necessary to remove unnecessary branches, simplifying the model and reducing the risk of overfitting the training data.
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