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In this paper we introduce random forest (RF) as a new modeling technique in the field of sensory analysis. As a case study we apply RF to the predictive discrimination of six typical cheeses of the Trentino province (North Italy) from data obtained by quantitative descriptive analysis. The corresponding sensory profiling was carried out by eight trained assessors using a developed language containing...
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