RotationForest

Package

weka.classifiers.meta

Synopsis

Class for construction a Rotation Forest. Can do classification and regression depending on the base learner.

For more information, see

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630. URL http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.211.

Options

The table below describes the options available for RotationForest.

Option	Description
classifier	The base classifier to be used.
debug	If set to true, classifier may output additional info to the console.
maxGroup	Maximum size of a group (if numberOfGrups is true, the maximum number of groups.
minGroup	Minimum size of a group (if numberOfGrups is true, the minimum number of groups.
numIterations	The number of iterations to be performed.
numberOfGroups	Whether minGroup and maxGroup refer to the number of groups or their size.
projectionFilter	The filter used to project the data (e.g., PrincipalComponents).
removedPercentage	The percentage of instances to be removed.
seed	The random number seed to be used.

Capabilities

The table below describes the capabilites of RotationForest.

Capability	Supported
Class	Nominal class, Missing class values, Binary class
Attributes	Binary attributes, Unary attributes, Nominal attributes, Missing values, Numeric attributes, Empty nominal attributes, Date attributes
Min # of instances	0