Measuring diversity and accuracy in ANN ensembles

M. Paz Sesmero; Juan Manuel Alonso-Weber; Alessandro Giuliani; Giuliano Armano; Araceli Sanchis

doi:10.1007/978-3-030-00374-6_11

Measuring diversity and accuracy in ANN ensembles

M. Paz Sesmero, Juan Manuel Alonso-Weber, Alessandro Giuliani, Giuliano Armano, Araceli Sanchis

Istituto Superiore di Sanita'

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Performance of classifier ensembles depends on the precision and on the diversity of the members of the ensemble. In this paper we present an experimental study in which the relationship between the accuracy of the ensemble and both the diversity and the accuracy of base learners is analyzed. We conduct experiments on 8 different ANN ensembles and on 5 multiclass data sets. Experimental results show that a high diversity degree among the base learners does not always imply a high accuracy in the ensemble.

Original language	English
Title of host publication	Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings
Editors	Antonio Gonzalez, Alicia Troncoso, Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordon
Publisher	Springer Verlag
Pages	108-117
Number of pages	10
ISBN (Print)	9783030003739
DOIs	https://doi.org/10.1007/978-3-030-00374-6_11
Publication status	Published - Jan 1 2018
Event	18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018 - Granada, Spain Duration: Oct 23 2018 → Oct 26 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11160 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018
Country/Territory	Spain
City	Granada
Period	10/23/18 → 10/26/18

Keywords

Accuracy
ANN
Diversity
Ensemble of classifiers

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-00374-6_11

Cite this

Sesmero, M. P., Alonso-Weber, J. M., Giuliani, A., Armano, G., & Sanchis, A. (2018). Measuring diversity and accuracy in ANN ensembles. In A. Gonzalez, A. Troncoso, F. Herrera, S. Damas, R. Montes, S. Alonso, & O. Cordon (Eds.), Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings (pp. 108-117). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11160 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-00374-6_11

Measuring diversity and accuracy in ANN ensembles. / Sesmero, M. Paz; Alonso-Weber, Juan Manuel; Giuliani, Alessandro et al.

Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings. ed. / Antonio Gonzalez; Alicia Troncoso; Francisco Herrera; Sergio Damas; Rosana Montes; Sergio Alonso; Oscar Cordon. Springer Verlag, 2018. p. 108-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11160 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sesmero, MP, Alonso-Weber, JM, Giuliani, A, Armano, G & Sanchis, A 2018, Measuring diversity and accuracy in ANN ensembles. in A Gonzalez, A Troncoso, F Herrera, S Damas, R Montes, S Alonso & O Cordon (eds), Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11160 LNAI, Springer Verlag, pp. 108-117, 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, 10/23/18. https://doi.org/10.1007/978-3-030-00374-6_11

Sesmero MP, Alonso-Weber JM, Giuliani A, Armano G, Sanchis A. Measuring diversity and accuracy in ANN ensembles. In Gonzalez A, Troncoso A, Herrera F, Damas S, Montes R, Alonso S, Cordon O, editors, Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings. Springer Verlag. 2018. p. 108-117. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-00374-6_11

Sesmero, M. Paz ; Alonso-Weber, Juan Manuel ; Giuliani, Alessandro et al. / Measuring diversity and accuracy in ANN ensembles. Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Proceedings. editor / Antonio Gonzalez ; Alicia Troncoso ; Francisco Herrera ; Sergio Damas ; Rosana Montes ; Sergio Alonso ; Oscar Cordon. Springer Verlag, 2018. pp. 108-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Measuring diversity and accuracy in ANN ensembles

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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