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trees/README.md

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# Tree-Based Models
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This module implements:
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1. [Decision trees](https://en.wikipedia.org/wiki/Decision_tree_learning) for classification and regression via the CART algorithm
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(Breiman, Friedman, Olshen, & Stone, 1984).
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1. [Decision trees](https://en.wikipedia.org/wiki/Decision_tree_learning) for classification and regression via the CART algorithm ([Breiman, Friedman, Olshen, & Stone, 1984](https://www.amazon.com/Classification-Regression-Wadsworth-Statistics-Probability/dp/0412048418)).
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2. [Random forests](https://en.wikipedia.org/wiki/Random_forest) for classification and regression (an example of bootstrap
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aggregating) (Breiman, 2001).
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aggregating) ([Breiman, 2001](https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf)).
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3. [Gradient-boosted decision
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trees](https://en.wikipedia.org/wiki/Gradient_boosting) for classification and regression (an
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example of gradient boosted machines) (Friedman, 1999).
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example of gradient boosted machines) ([Friedman, 1999/2001](https://projecteuclid.org/download/pdf_1/euclid.aos/1013203451)).
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## Plots
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<p align="center">

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