SVMAttributeEval

Package

weka.attributeSelection

Synopsis

SVMAttributeEval :

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking.

For more information see:

I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

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

Options

The table below describes the options available for SVMAttributeEval.

Option	Description
attsToEliminatePerIteration	Constant rate of attribute elimination.
complexityParameter	C complexity parameter to pass to the SVM
epsilonParameter	P epsilon parameter to pass to the SVM
filterType	filtering used by the SVM
percentThreshold	Threshold below which percent elimination reverts to constant elimination.
percentToEliminatePerIteration	Percent rate of attribute elimination.
toleranceParameter	T tolerance parameter to pass to the SVM

Capabilities

The table below describes the capabilites of SVMAttributeEval.

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