On Reliability of Majority Voting - Aix-Marseille Université Access content directly
Conference Papers Year : 2017

On Reliability of Majority Voting

Agus Budi Raharjo
  • Function : Author
  • PersonId : 1032257

Abstract

In ensemble learning field, the voting of different experts can produce an optimal solution. However, the quality of voting depends on the participant expertise. In this paper, an expert selection algorithm is proposed by considering reliability measure extracted from the confidence score. Our method has been applied based on the combination of 6 algorithms. Experimental result using 8 datasets shows that the proposed reliable majority voting algorithm provides a better average accuracy than the ordinary majority voting and the base classi-fiers. keyword: reliable majority voting, classification, ensemble learning.
Fichier principal
Vignette du fichier
RAHARJO_sfc-2017.pdf (230.64 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01796289 , version 1 (11-06-2018)

Identifiers

  • HAL Id : hal-01796289 , version 1

Cite

Agus Budi Raharjo, Mohamed Quafafou, Faicel Chamroukhi. On Reliability of Majority Voting. Le 24th conférence de la Société Francophone de Classification (SFC 2017), Jun 2017, Lyon, France. ⟨hal-01796289⟩
243 View
176 Download

Share

Gmail Facebook X LinkedIn More