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Package

weka.filters.unsupervised.attribute

Synopsis

Chooses a random subset of attributes, either an absolute number or a percentage. The class is always included in the output (as the last attribute).

Options

The table below describes the options available for RandomSubset.

Option Description
debug Turns on output of debugging information.
numAttributes The number of attributes to choose: < 1 percentage, >= 1 absolute number.
seed The seed value for the random number generator.

Capabilities

The table below describes the capabilites of RandomSubset.

Capability Supported
Class Relational class, Numeric class, Unary class, No class, Empty nominal class, Nominal class, Missing class values, String class, Date class, Binary class
Attributes Nominal attributes, Missing values, Empty nominal attributes, Date attributes, Unary attributes, Relational attributes, Numeric attributes, String attributes, Binary attributes
Min # of instances 0

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