cltest: Test dataset for classification
Description
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 = +- 2.This is the same model as the cltrain dataset.
format
Data Frame. Three variables x1, x2 and y. The latter indicates
class membership.