A comparison of machine learning algorithms for predicting consumer responses based on physical, chemical, and physical–chemical data of fruits-Reference-Cited by-同舟云学术

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A comparison of machine learning algorithms for predicting consumer responses based on physical, chemical, and physical–chemical data of fruits

Published:2022-02-23 Issue:3 Volume:37 Page:
ISSN:0887-8250
Container-title:Journal of Sensory Studies
language:en
Short-container-title:Journal of Sensory Studies

Author:

Ribeiro Michele Nayara¹^ORCID,Carvalho Iago Augusto²^ORCID,Ferreira Danton Diego³^ORCID,Pinheiro Ana Carla Marques¹^ORCID

Affiliation:

1. Department of Food Science Universidade Federal de Lavras, Campus Universitário Lavras Brazil

2. Deparment of Computer Science Universidade Federal de Alfenas Alfenas Brazil

3. Department of Automatics Universidade Federal de Lavras, Campus Universitário Lavras Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Sensory Systems,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/joss.12738

Reference22 articles.

1. An introduction to kernel and nearest‐neighbor nonparametric regression;Altman N. S.;The American Statistician,1992

2. A REVIEW OF STATISTICAL METHODS FOR DETERMINATION OF RELATIVE IMPORTANCE OF CORRELATED PREDICTORS AND IDENTIFICATION OF DRIVERS OF CONSUMER LIKING

3. Applied multiple linear regression

4. Classification And Regression Trees

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