wine {randomForestSRC} | R Documentation

## 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)

[Package randomForestSRC version 2.9.3 Index]