Profitability prediction model for dairy farms using the random forest method
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We applied an ensemble learning method known as random forests, which is widely used in
supervised machine learning, to predict the profitability ratio of dairy farms based on financial
and production related variables. The predictive model was implemented as a web service to
enable farmers to calculate the profitability of their business. Hereby, farmers can better assess
the sustainability of their business over time, or in comparison to other farms in the sector.