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

Dermatology Multi-class Imbalanced data set

Description
Files and additional references

Description

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

General information

Dermatology Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	34	(Real / Integer / Nominal)	(0 / 34 / 0)
Instances	366	IR	5.55
% Positive instances	15.27	% Negative instances	84.73
Missing values?	Yes

Attribute description

Attribute	Domain	Attribute	Domain	Attribute	Domain
a1	[0,3]	a13	[0,2]	a24	[0,3]
a2	[0,3]	a14	[0,3]	a25	[0,3]
a3	[0,3]	a15	[0,3]	a26	[0,3]
a4	[0,3]	a16	[0,3]	a27	[0,3]
a5	[0,3]	a17	[0,3]	a28	[0,3]
a6	[0,3]	a18	[0,3]	a29	[0,3]
a7	[0,3]	a19	[0,3]	a30	[0,3]
a8	[0,3]	a20	[0,3]	a31	[0,3]
a9	[0,3]	a21	[0,3]	a32	[0,3]
a10	[0,3]	a22	[0,3]	a33	[0,3]
a11	[0,1]	a23	[0,3]	a34	[0,75]
a12	[0,3]	class	[1,6]

Additional information

An imbalanced version of the Dermatology 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 dermatology 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 .