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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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