What are some popular ensemble learning algorithms?

What are some popular ensemble learning algorithms?

Some popular ensemble learning algorithms include Random Forest, AdaBoost, Gradient Boosting, and Bagging.

Can you explain how Random Forest works?

Random Forest works by creating multiple decision trees during training and outputs the mode of their predictions for classification or average for regression.

What are the advantages of using ensemble methods?

Ensemble methods improve accuracy, reduce overfitting, and enhance robustness by combining multiple models.

Are there any disadvantages to using ensemble learning?

Yes, ensemble methods can be computationally expensive and may lead to less interpretability compared to single models.