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.