InfoGainAttributeEval
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 |