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Random Forest - Do you need to prune trees in random forest?
Answer
Pruning decision trees is necessary to avoid overfitting. A data sample is already bagged before it reaches each tree in a random forest, which is responsible for controlling overfitting. Under these conditions, trimming is superfluous.
Other useful AI terms
- Do you need to prune trees in random forest?
- Can you have too many trees in a random forest?
- How do you explain random forest to a child?
- What is the difference between decision tree and random forest?
- What are the advantages of random forest regression?
- How many trees should I have in my random forest?
AI suggestions
- Do you need to prune trees in random forest?
- Can you have too many trees in a random forest?
- How do you explain random forest to a child?
- What is the difference between decision tree and random forest?
- What are the advantages of random forest regression?
- How many trees should I have in my random forest?