CorrelationAttributeEval
Package
weka.attributeSelection
Synopsis
CorrelationAttributeEval :
Evaluates the worth of an attribute by measuring the correlation (Pearson's) between it and the class.
Nominal attributes are considered on a value by value basis by treating each value as an indicator. An overall correlation for a nominal attribute is arrived at via a weighted average.
From Weka 3.7.7.
Options
The table below describes the options available for CorrelationAttributeEval.
Option |
Description |
|---|---|
outputDetailedInfo |
Output per value correlation for nominal attributes |
Capabilities
The table below describes the capabilities of CorrelationAttributeEval.
Capability |
Supported |
|---|---|
Class |
Missing class values, Binary class, Nominal class |
Attributes |
Missing values, Date attributes, Binary attributes, Numeric attributes, Unary attributes, Empty nominal attributes, Nominal attributes |
Min # of instances |
1 |