The assessment of quality is a key factor for the wine industry, where the aim is to fulfill the consumer’s needs and promote sales. Accordingly the price is a consequence of the quality. This work proposes an alternative assessment based on the usage and comparison of various ML methods such as Random Forest and Neural Networks among others. Our data analysis is based on a big real wine dataset, with the physicochemical properties, and the quality of tasters, provided by a well-known winery from North Greece.
