Investigations of Variable Importance Measures Within Random Forests
Random Forests (RF) (Breiman 2001; Breiman and Cutler 2004) is a completely nonparametric statistical learning procedure that may be used for regression analysis and. A feature of RF that is drawing a lot of attention is the novel algorithm that is used to evaluate the relative importance of the pre...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
DigitalCommons@USU
2009
|
| Subjects: | |
| Online Access: | https://digitalcommons.usu.edu/etd/7078 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8179&context=etd |