SubsetSizeForwardSelection
Package
weka.attributeSelection
Synopsis
SubsetSizeForwardSelection:
Extension of LinearForwardSelection. The search performs an interior cross-validation (seed and number of folds can be specified). A LinearForwardSelection is performed on each foldto determine the optimal subset-size (using the given SubsetSizeEvaluator). Finally, a LinearForwardSelection up to the optimal subset-size is performed on the whole data.
For more information see:
Martin Guetlein (2006). Large Scale Attribute Selection Using Wrappers. Freiburg, Germany.
Options
The table below describes the options available for SubsetSizeForwardSelection.
Option |
Description |
|---|---|
lookupCacheSize |
Set the maximum size of the lookup cache of evaluated subsets. This is expressed as a multiplier of the number of attributes in the data set. (default = 1). |
numSubsetSizeCVFolds |
Number of cross validation folds for subset size determination |
numUsedAttributes |
Set the amount of top-ranked attributes that are taken into account by the search process. |
performRanking |
Perform initial ranking to select top-ranked attributes. |
seed |
Seed for cross validation subset size determination. (default = 1) |
subsetSizeEvaluator |
Subset evaluator to use for subset size determination. |
type |
Set the type of the search. |
verbose |
Turn on verbose output for monitoring the search's progress. |