ConsistencySubsetEval

Package

weka.attributeSelection

Synopsis

ConsistencySubsetEval :

Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes.

Consistency of any subset can never be lower than that of the full set of attributes, hence the usual practice is to use this subset evaluator in conjunction with a Random or Exhaustive search which looks for the smallest subset with consistency equal to that of the full set of attributes.

For more information see:

H. Liu, R. Setiono: A probabilistic approach to feature selection - A filter solution. In: 13th International Conference on Machine Learning, 319-327, 1996.

Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (consistencySubsetEval).

Options

The table below describes the options available for ConsistencySubsetEval.

Option	Description

Capabilities

The table below describes the capabilites of ConsistencySubsetEval.

Capability	Supported
Class	Nominal class, Missing class values, Binary class
Attributes	Date attributes, Empty nominal attributes, Nominal attributes, Numeric attributes, Binary attributes, Missing values, Unary attributes
Min # of instances	1