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
$x_1 = \pm \sqrt{2}$.This is the same model as the cltrain dataset.
format
Data Frame. Three variables x1, x2 and y. The latter indicates
class membership.