wine: Wine recognition data

In ssc: Semi-Supervised Classification Methods

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

https://archive.ics.uci.edu/ml/datasets/Wine

ssc documentation built on Dec. 16, 2019, 1:26 a.m.