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Publikace

Evaluating the Stability of Feature Selectors that Optimize Feature Subset Cardinality

Typ:
Článek v odborném periodiku
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Název periodika:
Lecture Notes in Computer Science
Rok:
2008
Číslo:
5342 (2008)
Strany:
956-966
ISSN:
0302-9743
Klíčová slova:
Feature selection, stability, relative weighted consistency
Anotace:
Stability (robustness) of feature selection methods is a topic of recent interest. Unlike other known stability criteria, the new consistency measures proposed in this paper evaluate the overall occurrence of individual features in selected subsets of possibly varying cardinality. The new measures are compared to the generalized Kalousis measure which evaluates pairwise similarities between subsets. The new measures are computationally very effective and offer more than one type of insight into the stability problem. All considered measures have been used to compare two standard feature selection methods on a set of examples.
 
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