rotationForest: Fit and Deploy Rotation Forest Models

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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") 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.

Author
Michel Ballings and Dirk Van den Poel
Date of publication
2015-05-18 01:14:15
Maintainer
Michel Ballings <michel.ballings@gmail.com>
License
GPL (>= 2)
Version
0.1

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Man pages

predict.rotationForest
Predict method for rotationForest objects
rotationForest
Binary classification with Rotation Forest (Rodriguez en...

Files in this package

rotationForest
rotationForest/NAMESPACE
rotationForest/R
rotationForest/R/rotationForest.R
rotationForest/R/predict.rotationForest.R
rotationForest/MD5
rotationForest/DESCRIPTION
rotationForest/man
rotationForest/man/predict.rotationForest.Rd
rotationForest/man/rotationForest.Rd