You are choosing between two tree-based ensemble models for a supervised learning task. Both can perform well, but they behave differently in training, tuning, and generalization.
Explain the difference between Random Forest and Gradient Boosting. When would you choose one over the other?
You are choosing between two tree-based ensemble models for a supervised learning task. Both can perform well, but they behave differently in training, tuning, and generalization.
Explain the difference between Random Forest and Gradient Boosting. When would you choose one over the other?