Check your understanding
Quiz
You have built boosting from scratch, met LightGBM and CatBoost, learned which hyperparameters matter, used early stopping and learning curves, added monotonic constraints, and produced prediction intervals. This quiz checks what stuck. The last two steps are live R you can run.
Question 1 of 6
How boosting builds
Gradient boosting builds its model by:
Correct: each new tree targets the residual (the gradient of the loss), correcting what is left.
It combines the trees; it does not pick just one.