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rotationForest from group nz.ac.waikato.cms.weka (version 1.0.3)

An ensemble learning method inspired by bagging and random sub-spaces. Trains an ensemble of decision trees on random subspaces of the data, where each subspace has been transformed using principal components analysis.

Group: nz.ac.waikato.cms.weka Artifact: rotationForest
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Artifact rotationForest
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: spaces using random data transformed learning analysis where decision been ensemble principal bagging subspaces trees subspace method each components trains inspired
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/rotationForest
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

rotationForest from group nz.ac.waikato.cms.weka (version 1.0.2)

An ensemble learning method inspired by bagging and random sub-spaces. Trains an ensemble of decision trees on random subspaces of the data, where each subspace has been transformed using principal components analysis.

Group: nz.ac.waikato.cms.weka Artifact: rotationForest
Show documentation Show source 
 

0 downloads
Artifact rotationForest
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 24. April 2012
Tags: spaces using random data transformed learning analysis where decision been ensemble principal bagging subspaces trees subspace method each components trains inspired
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/rotationForest
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!



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