What is the difference between robust and standard models?

Can you explain the difference between robust and standard models?

Sure! Robust models are designed to perform well under a variety of conditions, including outliers, while standard models may be more sensitive to such variations.

What are some examples of robust models?

Examples of robust models include robust regression techniques like RANSAC and the Huber loss function.

When should I use a robust model instead of a standard one?

You should use a robust model when your data contains outliers or when you expect variability that could affect the model's performance.

Are robust models always better than standard models?

Not necessarily. While robust models handle outliers better, standard models can be more efficient and simpler when the data is clean.