Question: What is the main advantage of using ensemble methods?

Options:

1. They are simpler to implement than single models
2. They can reduce variance and improve prediction accuracy
3. They require less data for training
4. They are always faster than individual models

Correct Answer: They can reduce variance and improve prediction accuracy

Solution:

Ensemble methods combine multiple models to reduce variance and improve overall prediction accuracy.