## Ringnorm dataset

This is an implementation of Leo Breiman's *ringnorm* example[1]. It
is a 20 dimensional, 2 class classification example. 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). Breiman reports the theoretical expected misclassification rate as
1.3%. He used 300 training examples with CART and found an error of
21.4%.

## Dataset profile:

**Origin: ** artificial

**Usage:** historical

**Number of attributes:** 21

**Number of cases:** 7,400

**Number of prototasks:** 1

**Number of methods run on this dataset:**
3

**Download **ringnorm.tar.gz

**Contributed by: **
Michael Revow.

(1) Breiman L. *Bias, variance and arcing classifiers.* Tec. Report
460, Statistics department. University of california. April 1996.