RankSearch
Package
weka.attributeSelection
Synopsis
RankSearch :
Uses an attribute/subset evaluator to rank all attributes. If a subset evaluator is specified, then a forward selection search is used to generate a ranked list. From the ranked list of attributes, subsets of increasing size are evaluated, ie. The best attribute, the best attribute plus the next best attribute, etc.... The best attribute set is reported. RankSearch is linear in the number of attributes if a simple attribute evaluator is used such as GainRatioAttributeEval.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (attributeSelectionSearchMethods).
Options
The table below describes the options available for RankSearch.
Option |
Description |
|---|---|
attributeEvaluator |
Attribute evaluator to use for generating a ranking. |
startPoint |
Start evaluating from this point in the ranking. |
stepSize |
Add this many attributes from the ranking in each iteration. |