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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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