cltrain: Training 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 = \pm2).This is the same model as the cltrain dataset.
format
Data Frame. Three variables x1, x2 and y. The latter indicates
class membership.