Machine learning as a way to have more accuracy when defining milk quality classification

Authors

  • Matheus Henrique Lopes Cunha
  • Hygor Santiago Lara

Keywords:

Machine learning, Random Forest, Extra Trees Classifier, KNeighbors Classifier

Abstract

The classification of the quality of milk is necessary to foresee several evaluation parameters, such as its value, market analysis and how to improve it when it has not been presenting a good level. Among several extremely important factors, the analysis and search for more performance is necessary. The milk classification is a strategic tool before, during, and after any process that involves it.

 

DOI: 10.56238/homeinternationalanais-069

 

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Published

2023-02-01

How to Cite

Cunha, M. H. L., & Lara, H. S. (2023). Machine learning as a way to have more accuracy when defining milk quality classification. Caderno De ANAIS HOME. Retrieved from https://homepublishing.com.br/index.php/cadernodeanais/article/view/71

Issue

II INTERNATIONAL SEVEN MULTIDISCIPLINARY CONGRESS

Section

Articles