mlbench.xor: Continuous XOR Benchmark Problem

View source: R/mlbench-class.R

mlbench.xorR Documentation

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 29, 2024, 4:49 a.m.

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