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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

## load wine and convert to a multiclass problem
data(wine, package = "randomForestSRC")
wine$quality <- factor(wine$quality)

randomForestSRC

Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

v2.11.0
GPL (>= 3)
Authors
Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Initial release
2021-03-30

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