obliqueRF: Oblique Random Forests from Recursive Linear Model Splits
Random forest with oblique decision trees for binary
classification tasks. Discriminative node models in the tree
are based on: ridge regression, partial least squares
regression, logistic regression, linear support vector
machines, or random coefficients.
| Version: |
0.2 |
| Depends: |
R (≥ 2.0.0), stats, ROCR, pls, mda, e1071 |
| Published: |
2011-09-07 |
| Author: |
Bjoern Menze and Nico Splitthoff |
| Maintainer: |
Bjoern Menze <menze@csail.mit.edu> and D.N. Splitthoff
<nico.splitthoff at gmx.de> |
| License: |
GPL (≥ 2) |
| In views: |
MachineLearning |
| CRAN checks: |
obliqueRF results |
Downloads:
Reverse dependencies: