How can outliers potentially affect machine learning models?

They can lead to a model that is too generalized and fails to capture important patterns in the data

They have no impact on machine learning models as models are designed to handle outliers effectively

They always improve the performance of machine learning models by adding diversity to the training data

They can lead to a model that is overly influenced by the outliers, potentially reducing its predictive accuracy