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

Ringnorm data set

Description
Files and additional references

Description

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

General information

Ringnorm 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	[-6879.0, 6285.0]	A11	[-7803.0, 7208.0]
A2	[-7141.0, 6921.0]	A12	[-7395.0, 6791.0]
A3	[-7734.0, 7611.0]	A13	[-7096.0, 6403.0]
A4	[-6627.0, 7149.0]	A14	[-7472.0, 7261.0]
A5	[-7184.0, 6383.0]	A15	[-7342.0, 7372.0]
A6	[-6946.0, 6743.0]	A16	[-7121.0, 6905.0]
A7	[-7781.0, 6285.0]	A17	[-7163.0, 7175.0]
A8	[-6882.0, 6357.0]	A18	[-8778.0, 6896.0]
A9	[-7184.0, 7487.0]	A19	[-7554.0, 5726.0]
A10	[-7232.0, 6757.0]	A20	[-6722.0, 7627.0]
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 zero and covariance 4 times the identity. Class 2 has mean (a,a,..a) and unit covariance. a = 2/sqrt(20).

Files and additional references

In this section you can download some files related to the ring 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/ringnorm/desc.html.