et to see how well the model actually does. You can't use
the same set for early stopping and for evaluation.
---

class:spacious
# Tuning of Gradient Boosting
- Typically strong pruning via max_depth

- Tune max_features
- Tune column subsampling, row subsampling
- Regularization
- Pick learning rate and do early stopping
- Or Pick n_estimators, tune learning rate (if not early stopping)
???
There are several things you can tune about the gradient
boosting. A common approach is to pick the number of
estima