You are just doing a simple validation on a test set rather than cross-validation; the point of CV is to make many iterations of validation on different train-test splits and average the results.
Just for future reference I did ran the fitting a few times founding very(+-2%) similar results. Also Random Forests do an average so probably not much to improve on that particular algorithm.