FCBFSearch
Package
weka.attributeSelection
Synopsis
FCBF :
Feature selection method based on correlation measureand relevance&redundancy analysis. Use in conjunction with an attribute set evaluator (SymmetricalUncertAttributeEval).
For more information see:
Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (fastCorrBasedFS).
Options
The table below describes the options available for FCBFSearch.
Option |
Description |
|---|---|
generateDataOutput |
Generating new dataset according to the selected features. |
generateRanking |
A constant option. FCBF is capable of generating attribute rankings. |
numToSelect |
Specify the number of attributes to retain. The default value (-1) indicates that all attributes are to be retained. Use either this option or a threshold to reduce the attribute set. |
startSet |
Specify a set of attributes to ignore. When generating the ranking, FCBF will not evaluate the attributes in this list. This is specified as a comma seperated list off attribute indexes starting at 1. It can include ranges. Eg. 1,2,5-9,17. |
threshold |
Set threshold by which attributes can be discarded. Default value results in no attributes being discarded. Use either this option or numToSelect to reduce the attribute set. |