powered by
Randomly generate a simple classification problem.
generate_linear_dataset( n = 2, N = 10000, eps = 1.2, gamma = runif(1, min = -n, max = n), alpha = runif(n, min = -n, max = n) )
number of variables.
number of observations.
noise.
numeric.
numeric vector of length n.
n
A data.frame with n independent random variables and one class variable C computed as sign(sum(x * alpha) + runif(1, -eps, eps) + gamma).
C
sign(sum(x * alpha) + runif(1, -eps, eps) + gamma)
# NOT RUN { DD <- generate_linear_dataset(n = 5, 1000) # }
Run the code above in your browser using DataLab