A measure of competence based on random classification for dynamic ensemble selection
In this paper, a measure of competence based on random classification (MCR) for classifier ensembles is presented. The measure selects dynamically (i.e. for each test example) a subset of classifiers from the ensemble that perform better than a random classifier. Therefore, weak (incompetent) classi...
Main Authors: | , , , |
---|---|
Format: | Journal Article |
Published: |
Elsevier
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/20.500.11937/36540 |