The Wine dataset contains the results of a chemical analysis of wines derived from three different cultivars grown in the same region of Italy. The dataset is commonly used for multiclass classification tasks, where the objective is to identify the cultivar of origin based on physicochemical properties.

wine

Format

A data frame with 178 rows and 14 columns:

class

Factor with levels 1, 2, and 3 indicating cultivar

alcohol

Alcohol content

malic_acid

Malic acid concentration

ash

Ash content

alcalinity_of_ash

Alcalinity of ash

magnesium

Magnesium content

total_phenols

Total phenols

flavanoids

Flavonoid content

nonflavanoid_phenols

Nonflavanoid phenols

proanthocyanins

Proanthocyanin content

color_intensity

Color intensity

hue

Hue

od280_od315

OD280/OD315 of diluted wines

proline

Proline concentration

Source

Aeberhard, S. & Forina, M. (1992). Wine Dataset. UCI Machine Learning Repository. Original dataset available at: <https://archive.ics.uci.edu/dataset/109/wine>