cltrain {locfit}R Documentation

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 = pm sqrt{2}).

This is the same model as the cltest dataset.

Usage

data(cltrain)

Format

Data Frame. Three variables x1, x2 and y. The latter indicates class membership.


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