A numerical evaluation of the classification of portuguese red wine

Eric J. Beh, Thomas B Farver

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Evaluating the accuracy of classification methods for rating wines based on their physical and chemical characteristics is an important part of the wine industry. An ability to accurately predict the quality of wine based on this information provides vast opportunity for applications in other areas of science. Recently, a method was proposed that utilises data mining techniques for the prediction of the quality of wines based solely on their physicochemical properties and compared these results with those classifications obtained by experienced assessors. In this paper we explore an analytical approach to evaluating the accuracy of these classification methods using new advances in the area of statistical modelling.

Original languageEnglish (US)
Pages (from-to)218-223
Number of pages6
JournalCurrent Analytical Chemistry
Volume8
Issue number2
StatePublished - Apr 2012

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Wine
Data mining
Industry

Keywords

  • Classification methods
  • Confusion matrix
  • Estimation methods
  • Ordinal log-linear models
  • Physicochemical characteristics
  • Red wine

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

A numerical evaluation of the classification of portuguese red wine. / Beh, Eric J.; Farver, Thomas B.

In: Current Analytical Chemistry, Vol. 8, No. 2, 04.2012, p. 218-223.

Research output: Contribution to journalArticle

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