What are the advantages of using ensemble models over single models in machine learning?

What are the advantages of using ensemble models over single models in machine learning?

Ensemble models combine multiple algorithms to improve accuracy and robustness, reducing overfitting.

Can you give me an example of an ensemble model?

Sure! Random Forest is a popular ensemble model that uses multiple decision trees to make predictions.

How do ensemble models perform compared to single models?

Ensemble models generally outperform single models, especially in complex datasets, by leveraging diverse predictions.

Are there any downsides to using ensemble models?

Yes, ensemble models can be more computationally intensive and harder to interpret than single models.

When should I choose a single model over an ensemble?

If you have a simple problem or need quick results, a single model might be more efficient and easier to implement.