Answer Posted / Soorya Prakash
In the context of decision trees, 'Pre Pruning' is a technique used to avoid overfitting by removing sections of the tree that have low predictive power. It helps reduce complexity and improve the generalization ability of the model.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
No New Questions to Answer in this Category !! You can
Post New Questions
Answer Questions in Different Category