Can I use robust models for outlier handling?

Can I use robust models for outlier handling?

Yes, robust models are specifically designed to handle outliers effectively. They reduce the influence of outliers on the model's predictions.

What are some examples of robust models?

Some examples include Robust Regression, Random Forests, and Support Vector Machines with appropriate kernels.

How do these models perform compared to traditional methods?

Robust models generally perform better in the presence of outliers, as they minimize their impact on the overall model accuracy.

Are there any specific techniques to improve their performance?

Yes, techniques like feature scaling, using ensemble methods, and cross-validation can enhance the performance of robust models.