Name: Wine Dataset
Creator: Kaggle
License: https://creativecommons.org/licenses/by-sa/4.0/

About this Dataset

Wine Dataset

The data was used with many others for comparing various classifiers. In a classification context, this is a well posed problem with "well behaved" class structures. A good data set for first testing of a new classifier, but not very challenging.

These data are the results of a chemical analysis of wines 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.

The attributes are:

Alcohol
Malic acid
Ash
Alcalinity of ash
Magnesium
Total phenols
Flavanoids
Nonflavanoid phenols
Proanthocyanins
Color intensity
Hue
OD280/OD315 of diluted wines
Proline

For Each Attribute: All attributes are continuous

No statistics available, but suggest to standardise
variables for certain uses (e.g. for us with classifiers
which are NOT scale invariant)

NOTE: 1st attribute is class identifier (target)(1-3)

Acknowledgements:
This dataset is also available from Kaggle & UCI machine learning repository, https://archive.ics.uci.edu/dataset/109/wine

Tables

Wine Dataset

@kaggle.tawfikelmetwally_wine_dataset.wine_dataset

18.74 kB
178 rows
14 columns

CREATE TABLE wine_dataset (
  "class" BIGINT,
  "alcohol" DOUBLE,
  "malic_acid" DOUBLE,
  "ash" DOUBLE,
  "alcalinity_of_ash" DOUBLE,
  "magnesium" BIGINT,
  "total_phenols" DOUBLE,
  "flavanoids" DOUBLE,
  "nonflavanoid_phenols" DOUBLE,
  "proanthocyanins" DOUBLE,
  "color_intensity" DOUBLE,
  "hue" DOUBLE,
  "od280_od315_of_diluted_wines" DOUBLE,
  "proline" BIGINT
);