Visualizing Bagged Decision Trees

By J. Sunil Rao, William J. E. Potts. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. A. Goldstein
2. Adam Kapelner
3. E. Pitkin
4. Justin Bleich
5. Pedro M. Domingos
6. Hoifung Poon
7. Foster J. Provost
8. Faisal Kamiran

Citations in the corpus

• Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation (2013, methodology): “Rao and Potts (1997) offers a technique for visualizing the decision boundary produced by bagging decision trees.”
• Occam's Two Razors: The Sharp and the Blunt (1998, background): “In particular , Rao and Potts (1997) show how bagging builds accurate frontiers from CART trees that approximate them poorly, and Domingos (1997b) shows how a single model learned by emulating the behavior of a bagged ensemble is both more complex and more accurate than a model induced directly…”