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.
wineA data frame with 178 rows and 14 columns:
Factor with levels 1, 2, and 3 indicating cultivar
Alcohol content
Malic acid concentration
Ash content
Alcalinity of ash
Magnesium content
Total phenols
Flavonoid content
Nonflavanoid phenols
Proanthocyanin content
Color intensity
Hue
OD280/OD315 of diluted wines
Proline concentration
Aeberhard, S. & Forina, M. (1992). Wine Dataset. UCI Machine Learning Repository. Original dataset available at: <https://archive.ics.uci.edu/dataset/109/wine>