The inputs of the XOR problem are uniformly distributed on
the d-dimensional cube with corners {+-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)
providing 
.