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).

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.

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