cltrain: Training dataset for classification

In locfit: Local Regression, Likelihood and Density Estimation

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.

locfit documentation built on July 9, 2023, 5:58 p.m.