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Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics

Authors :
Travis Atkison
James Palmer
Victor S. Sheng
Bernard Chen
Source :
Big Data Mining and Analytics. 3:1-12
Publication Year :
2020
Publisher :
Tsinghua University Press, 2020.

Abstract

Classifying wine according to their grade, price, and region of origin is a multi-label and multi-target problem in wine-informatics. Using wine reviews as the attributes, we compare several different multi-label/multitarget methods to the single-label method where each label is treated independently. We explore both single-label and multi-label approaches for a two-class problem for each of the labels and we explore both single-label and multi-target approaches for a four-class problem on two of the three labels, with the third label remaining a two-class problem. In terms of per-label accuracy, the single-label method has the best performance, although some multi-label methods approach the performance of single-label. However, multi-label/multi-target metrics approaches do exceed the performance of the single-label method.

Details

ISSN :
20960654
Volume :
3
Database :
OpenAIRE
Journal :
Big Data Mining and Analytics
Accession number :
edsair.doi...........b4591c8ded925bcb9cd5fb1d889fb513
Full Text :
https://doi.org/10.26599/bdma.2019.9020014