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Random Forest - What is the difference between decision tree and random forest?
Answer
Multiple decision trees make up a random forest. A decision tree is just a set of decisions. When working with large datasets, decision trees are more efficient and easier to use than random forests, which may be a real hassle for regression applications.
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?