The performance of passive online learning. The P training patterns are fed to the student sequentially and they are independent random N-dimensional Ising vectors. The pattern density is α = P/N. The total number of simulated independent online learning trajectories is . (a) The mean inference error, i.e., the mean fraction of incorrectly inferred teacher weights. The inset shows the tail part of the numerical data in semi-logarithmic scale. (b) The success fraction, i.e., the fraction of simulation trajectories in which the inferred weight vector is identical to the teacher’s weight vector.