This module implements:
- Decision trees for classification and regression via the CART algorithm (Breiman, Friedman, Olshen, & Stone, 1984).
- Random forests for classification and regression (an example of bootstrap aggregating) (Breiman, 2001).
- Gradient-boosted decision trees for classification and regression (an example of gradient boosted machines) (Friedman, 1999/2001).