bartMachine: A Powerful Tool for Machine Learning
By Adam Kapelner, Justin Bleich. 2013
14 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- A. Goldstein
- Adam Kapelner
- E. Pitkin
- Justin Bleich
- Christoph Molnar
- Q. Liao
- Giuseppe Casalicchio
- Giles Hooker
Citations in the corpus
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation (2013, methodology): “t treatment. We rst modeled the response as a function of the 37 covariates as well as treatment to obtain the best t of the functional relationship using the black-box algorithm BART (implemented by Kapelner and Bleich, 2013) and obtained an in-sample R2 ˇ0:40. Figure 9a displays an ICE plot of the”