Which algorithm will you prefer from Random Forest and XGBoost when the model is low bias?

Question

Accepted Answer

XGBoost is preferred over Random Forest for low bias models due to its ability to reduce bias further.

XGBoost is a more complex algorithm compared to Random Forest, allowing it to reduce bias further in low bias models.
XGBoost uses gradient boosting which helps in reducing bias by optimizing the loss function iteratively.
Random Forest may not be able to further reduce bias in low bias models as effectively as XGBoost.
In scenarios where the model already has low bias, XGBoost's ability to handle complex relationships and patterns can be advantageous.

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