A pier-vendor sales model is built by adding trees that correct the previous trees' residuals. Which combination style is that, and which SageMaker built-in usually does it?
Select an answer to reveal the explanation.
Short Explanation
Think of trees lining up so each one mops up the last tree's leftovers. That is boosting, and SageMaker XGBoost is the usual built-in. A flat average is not sequential, and Polly or K-Means never corrected residuals.
Full Explanation
Boosting combines sequential weak learners so each new tree corrects the previous residuals. SageMaker XGBoost is the usual built-in that does this. A flat ensemble average is not sequential. Polly and K-Means are not boosting.