How does Random Forest behave under heavy-tailed feature distributions?

RF is relatively robust but can be influenced by extreme values in split selection.

Heavy-tailed distributions increase likelihood of extreme feature values, which can dominate split thresholds and skew tree structures. However, ensemble averaging mitigates some instability, making RF more robust than linear models in such settings.