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

Twonorm data set

Description
Files and additional references

Description

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

General information

Twonorm data set
Type	Classification	Origin	Laboratory
Features	20	(Real / Integer / Nominal)	(20 / 0 / 0)
Instances	7400	Classes	2
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
A1	[-4.2497, 3.5782]	A11	[-3.9204, 4.0953]
A2	[-3.9606, 4.3451]	A12	[-3.8262, 4.3025]
A3	[-4.4798, 4.4039]	A13	[-3.9451, 3.7817]
A4	[-3.8891, 4.2589]	A14	[-3.8516, 4.1238]
A5	[-3.9099, 5.6395]	A15	[-3.6978, 3.5485]
A6	[-4.0095, 3.9901]	A16	[-3.6976, 4.2439]
A7	[-3.7334, 4.4522]	A17	[-3.9428, 3.7233]
A8	[-4.5744, 3.8648]	A18	[-4.0653, 4.0557]
A9	[-3.8136, 4.254]	A19	[-4.1218, 4.3238]
A10	[-4.1999, 4.0829]	A20	[-3.7831, 4.279]
Class	{0, 1}

Additional information

This is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a).. a = 2/sqrt(20).

Files and additional references

In this section you can download some files related to the twonorm 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 10-folds cross validation procedure 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 .
This is not a native data set from the KEEL project. It has been obtained from the DELVE repository. The original page where the data set can be found is: http://www.cs.utoronto.ca/~delve/data/twonorm/desc.html.