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Package

weka.attributeSelection

Synopsis

SymmetricalUncertAttributeSetEval :

Evaluates the worth of a set attributes by measuring the symmetrical uncertainty with respect to another set of attributes.

SymmU(AttributeSet2, AttributeSet1) = 2 * (H(AttributeSet2) - H(AttributeSet1 | AttributeSet2)) / H(AttributeSet2) + H(AttributeSet1).

For more information see:

Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.

Options

The table below describes the options available for SymmetricalUncertAttributeSetEval.

Option

Description

missingMerge

Distribute counts for missing values. Counts are distributed across other values in proportion to their frequency. Otherwise, missing is treated as a separate value.

Capabilities

The table below describes the capabilites of SymmetricalUncertAttributeSetEval.

Capability

Supported

Class

Nominal class, Binary class, Missing class values

Attributes

Empty nominal attributes, Unary attributes, Missing values, Date attributes, Binary attributes, Numeric attributes, Nominal attributes

Min # of instances

1

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