Wine data set from the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets/wine). Results of a chemical analysis of three types of wines grown in the same region in Italy but derived from three different cultivars.

Format

R6::R6Class inheriting from TaskClassif.

Source

Original owners: Forina, M. et al, PARVUS - An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.

Donor: Stefan Aeberhard, email: stefan@coral.cs.jcu.edu.au

Construction

mlr_tasks$get("wine")
tsk("wine")

Meta Information

  • Task type: “classif”

  • Dimensions: 178x14

  • Properties: “multiclass”

  • Has Missings: FALSE

  • Target: “type”

  • Features: “alcalinity”, “alcohol”, “ash”, “color”, “dilution”, “flavanoids”, “hue”, “magnesium”, “malic”, “nonflavanoids”, “phenols”, “proanthocyanins”, “proline”

References

Dua, Dheeru, Graff, Casey (2017). “UCI Machine Learning Repository.” http://archive.ics.uci.edu/ml/.

See also