Random Forest
AI/ML Fundamentals
Ensemble of decision trees
What is Random Forest?
Builds many decision trees on random subsets of data/features, then averages predictions.
Real-World Examples
- •Classification tasks
- •Feature importance analysis
- •Regression
When to Use This
Robust algorithm for both classification and regression
Related Terms
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