- Higher level take
- Iteratively train more models addressing weak points
- Well paired with decision trees
	- Strictly outperform random forest most of the time
	- Similar properties
- One of the best algorithm for dealing with non perceptual data
- XGBoost
	- [Confusing XGBoost Hyperparameters](https://towardsdatascience.com/10-confusing-xgboost-hyperparameters-and-how-to-tune-them-like-a-pro-in-2023-e305057f546?source=rss----7f60cf5620c9---4)