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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

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