SymmetricalUncertAttributeSetEval
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 |