Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure
A weighted accuracy and diversity (WAD) method is presented, a novel measure used to evaluate the quality of the classifier ensemble, assisting in the ensemble selection task. The proposed measure is motivated by a commonly accepted hypothesis; that is, a robust classifier ensemble should not only b...
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Main Authors: | Xiaodong Zeng, Derek F. Wong, Lidia S. Chao |
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Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/961747 |
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