Is the mean of sampled squared errors the best estimate of the actual mean squared error?

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For an estimator characterized by Gaussian white noise, is the mean of sampled squared errors the best estimate of the estimator's actual mean squared error. Or, should the mean of sampled squared errors be adjusted? If so, how?