mlbench.xor: Continuous XOR Benchmark Problem

In mlbench: Machine Learning Benchmark Problems

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)

Arguments

n	number of patterns to create
d	dimension of the XOR problem

Value

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

x	input values
classes	factor vector of length n with target classes

Examples

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

mlbench documentation built on May 31, 2023, 6:18 p.m.