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Package

weka.attributeSelection

Synopsis

InfoGainAttributeEval :

Evaluates the worth of an attribute by measuring the information gain with respect to the class.

InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute).

Options

The table below describes the options available for InfoGainAttributeEval.

Option

Description

binarizeNumericAttributes

Just binarize numeric attributes instead of properly discretizing them.

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 InfoGainAttributeEval.

Capability

Supported

Class

Binary class, Nominal class, Missing class values

Attributes

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

Min # of instances

1

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