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 |