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).
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 10folds cross validation procedure can be downloaded from here.
 A copy of the data set already partitioned by means of a 5folds 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.
