randomForestSRC (version 2.10.1)

wine: White Wine Quality Data

Description

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).

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.

Examples

# NOT RUN {
## load wine and convert to a multiclass problem
data(wine, package = "randomForestSRC")
wine$quality <- factor(wine$quality)
# }

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