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ICMLA
2008

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers

9 years 18 days ago
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is found that by combining measures, a higher test set accuracy may be obtained than by using any single accuracy or diversity measure. It is further investigated whether a multi-criteria search for an ensemble that maximizes both accuracy and diversity leads to more accurate ensembles than by optimizing a single criterion. The results indicate that it might be more beneficial to search for ensembles that are both accurate and diverse. Furthermore, the results show that diversity measures could compete with accuracy measures as selection criterion.
Tuve Löfström, Ulf Johansson, Henrik Bos
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ICMLA
Authors Tuve Löfström, Ulf Johansson, Henrik Boström
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