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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 |
| DOI: | 10.32614/CRAN.package.rotationForest |
| 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 |
| Reference manual: | rotationForest.pdf |
| Package source: | rotationForest_0.1.3.tar.gz |
| Windows binaries: | r-devel: rotationForest_0.1.3.zip, r-release: rotationForest_0.1.3.zip, r-oldrel: rotationForest_0.1.3.zip |
| macOS binaries: | r-release (arm64): rotationForest_0.1.3.tgz, r-oldrel (arm64): rotationForest_0.1.3.tgz, r-release (x86_64): rotationForest_0.1.3.tgz, r-oldrel (x86_64): rotationForest_0.1.3.tgz |
| Old sources: | rotationForest archive |
| Reverse suggests: | mlr |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.