A college placement model uses 100 iterations of Gradient Boosting. What happens to the error (residuals) as the 100th tree is added?

Question

MLQuiz · Accepted Answer

The goal of the sequential addition is to reduce the residuals at each stage, driving them toward zero as the model converges.