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wine

Wine recognition data


Description

This dataset is the result of a chemical analysis of wine grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.

Usage

data(wine)

Format

A data frame with 178 rows and 14 variables including the class.

Details

The dataset is taken from the UCI data repository, to which it was donated by Riccardo Leardi, University of Genova. The attributes are as follows:

  • Alcohol

  • Malic acid

  • Ash

  • Alcalinity of ash

  • Magnesium

  • Total phenols

  • Flavanoids

  • Nonflavanoid phenols

  • Proanthocyanins

  • Color intensity

  • Hue

  • OD280/OD315 of diluted wines

  • Proline

  • Wine (class)

Source


SSLR

Semi-Supervised Classification, Regression and Clustering Methods

v0.9.3.1
GPL-3
Authors
Francisco Jesús Palomares Alabarce [aut, cre] (<https://orcid.org/0000-0002-0499-7034>), José Manuel Benítez [ctb] (<https://orcid.org/0000-0002-2346-0793>), Isaac Triguero [ctb] (<https://orcid.org/0000-0002-0150-0651>), Christoph Bergmeir [ctb] (<https://orcid.org/0000-0002-3665-9021>), Mabel González [ctb] (<https://orcid.org/0000-0003-0152-444X>)
Initial release

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