## Twonorm dataset

This is an implementation of Leo Breiman's *twonorm* example[1]. It
is a 20 dimensional, 2 class classification example. Each class is drawn from
a multivariate normal distribution with unit variance. Class 1 has mean
(a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2/sqrt(20). Breiman
reports the theoretical expected misclassification rate as 2.3%. He used 300
training examples with CART and found an error of 22.1%.

## 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 **twonorm.tar.gz

**Contributed by: **
Michael Revow.

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