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What is pruning in decision trees and how is it done?
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Answer / Gajraj Mathur
Pruning in Decision Trees involves removing parts of the tree that provide little or no improvement to the accuracy of the model. This reduces the complexity of the tree, preventing overfitting. Pruning can be achieved through methods like Reduced Error Pruning (REP) and Cost Complexity Pruning.
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