Tree-Based Models

This module implements:

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

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