ConsistencySubsetEval
Package
weka.attributeSelection
Synopsis
ConsistencySubsetEval :
Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes.
Consistency of any subset can never be lower than that of the full set of attributes, hence the usual practice is to use this subset evaluator in conjunction with a Random or Exhaustive search which looks for the smallest subset with consistency equal to that of the full set of attributes.
For more information see:
H. Liu, R. Setiono: A probabilistic approach to feature selection - A filter solution. In: 13th International Conference on Machine Learning, 319-327, 1996.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (consistencySubsetEval).
Options
The table below describes the options available for ConsistencySubsetEval.
Option |
Description |
|---|
Capabilities
The table below describes the capabilites of ConsistencySubsetEval.
Capability |
Supported |
|---|---|
Class |
Nominal class, Missing class values, Binary class |
Attributes |
Date attributes, Empty nominal attributes, Nominal attributes, Numeric attributes, Binary attributes, Missing values, Unary attributes |
Min # of instances |
1 |