KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Wine Multi-class Imbalanced data set

Description
Files and additional references

Description

This section describes main characteristics of the wine data set and its attributes:

General information

Wine Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	13	(Real / Integer / Nominal)	(13 / 0 / 0)
Instances	178	IR	1.5
% Positive instances	40	% Negative instances	60
Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
at1	[11.0, 14.9]	at8	[0.1, 0.7]
at2	[0.7, 5.8]	at9	[0.4, 3.6]
at3	[1.3, 3.3]	at10	[1.2, 13.0]
at4	[10.6, 30.0]	at11	[0.4, 1.8]
at5	[70.0, 162.0]	at12	[1.2, 4.0]
at6	[0.9, 3.9]	at13	[278.0, 1680.0]
at7	[0.3, 5.1]	class	{1, 2, 3}

Additional information

An imbalanced version of the Wine data set, where there are some classes with a small number of examples while other classes have a large number of examples.

Files and additional references

In this section you can download some files related to the wine data set:

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .