rotationForest: Fit and Deploy Rotation Forest Models
Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva,
L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans.
Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification.
Rotation forest is an ensemble method where each base classifier (tree) is
fit on the principal components of the variables of random partitions of
the feature set.
| Version: |
0.1.3 |
| Imports: |
rpart |
| Published: |
2017-04-16 |
| Author: |
Michel Ballings and Dirk Van den Poel |
| Maintainer: |
Michel Ballings <michel.ballings at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
rotationForest results |
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