I hope math stack exchange is the right place for this question, even though it comes from an AI point of view.
Say I have a machine learning model and for robustness of results, I initialize it with three different random seeds, train each initialization to convergence and report the average performance of those three initializations. Now my question: for calculating the standard deviation of the model performances, do I use the population std or the sample std?
Hope you can help!