4.7 Article

Identifying the Determinants of Regional Raw Milk Prices in Russia Using Machine Learning

期刊

AGRICULTURE-BASEL
卷 12, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/agriculture12071006

关键词

milk price; Russia; machine learning; random forest

类别

向作者/读者索取更多资源

This study analyzed official data from Russia's regions from 2015 to 2019, using 12 predictor variables to explain the regional raw milk price. The findings showed that drinking milk production, income, livestock numbers, and population density were the four most important determinants of the variation in regional raw milk prices in Russia.
In this study, official data from Russia's regions for the period from 2015 to 2019 were analysed on the basis of 12 predictor variables in order to explain the regional raw milk price. Model training and hyperparameter optimisation were performed with a spatiotemporal cross-validation technique using the machine learning (ML) algorithm. The findings of the study showed that the RF algorithm had a good predictive performance Variable importance revealed that drinking milk production, income, livestock numbers and population density are the four most important determinants to explain the variation in regional raw milk prices in Russia.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据