Training dataset for classification
Data Frame. Three variables x1, x2 and y. The latter indicates
200 observations from a 2 population model. Under population 0,
x_1,i has a standard normal distribution, and
x_2,i = (2-x_1,i^2+z_i)/3, where z_i is also standard normal.
Under population 1, x_2,i = -(2-x_1,i^2+z_i)/3.
The optimal classification regions form a checkerboard pattern,
with horizontal boundary at x_2=0, vertical boundaries at
x_1 = \pm \sqrt2.
This is the same model as the cltest dataset.
Built: Sat Aug 4 07:44:53 EDT 2001
Copyright © 2000, Lucent Technologies
Author: Catherine Loader