Machine learning ensemble algorithms in predictive analytics of dairy cattle methane emission using imputed versus non-imputed datasets
Abstract
Publication Date:
2019
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
enteric methane; ruminants; random forest; prediction accuracy
List of contributors:
Biscarini, Filippo
Book title:
Proceedings of the 7th GGAA - Greenhouse Gas and Animal Agriculture Conference