GINI assumptions are reasonable.

Even if the data are not independent draws from the Gaussian, the network can still be learned with high precision and recall. (a) For a fixed number of data points, as increases beyond 0.5, the precision and recall reduces. (b) If we allow the number of data points to increase as increases, the precision and accuracy of the method is not affected. The standard deviation at each point in both results is approximately 0.09.