mlbench (version 2.1-6)

mlbench.xor: Continuous XOR Benchmark Problem

Description

The inputs of the XOR problem are uniformly distributed on the d-dimensional cube with corners \(\{\pm 1\}\). Each pair of opposite corners form one class, hence the total number of classes is \(2^(d-1)\)

Usage

mlbench.xor(n, d=2)

Value

Returns an object of class "mlbench.xor" with components

x

input values

classes

factor vector of length n with target classes

Arguments

n

number of patterns to create

d

dimension of the XOR problem

Examples

# 2d example
p<-mlbench.xor(300,2)
plot(p)
#
# 3d example
p<-mlbench.xor(300,3)
plot(p)