What is 'Pruning' in Decision Trees?

What is 'Pruning' in Decision Trees?

Approach: Describe removing branches that provide little power to prevent overfitting.

A technique that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances. This reduces complexity and helps prevent overfitting.

Follow-up: What is the difference between pre-pruning and post-pruning?

Key concepts: overfitting, post-pruning, complexity.