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

Autores/as

  • Matheus Henrique Lopes Cunha
  • Hygor Santiago Lara

Palabras clave:

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

Resumen

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

 

Descargas

Publicado

2023-02-01

Cómo citar

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. Recuperado a partir de https://homepublishing.com.br/index.php/cadernodeanais/article/view/71

Número

II INTERNATIONAL SEVEN MULTIDISCIPLINARY CONGRESS

Sección

Articles