What is RMSE?
I know what MSE is, mean square error in linear models, but this RMSE is new to me.
Different books calculate the RMSE different ways when evaluating their models. Some researchers divides with the number of observations before taking the square root and some does the opposite. What is the correct way. Does anyone know? Does anyone have the straigt formula?
See the last lines of the second paragraph: Mean squared error - Wikipedia, the free encyclopedia
Also: RMSE
The MSE is SSE divided by n-p, where p is the number of parameters in your model.
The MSE is an unbiased estimator of the population variance.
This RMSE is the square root of MSE, so it's a slightly biased estimator of the population st deviation.
Show me the different formulas you're talking about.