The inputs include objective tests (e.g. PH values) and the output is
based on sensory data (median of at least 3 evaluations made by wine
experts) of white wine. Each expert graded the wine quality between 0
(very bad) and 10 (very excellent).
Arguments
References
Cortez, P., Cerdeira, A., Almeida, F., Matos T. and Reis, J. (2009).
Modeling wine preferences by data mining from physicochemical properties.
In Decision Support Systems, Elsevier, 47(4):547-553.