Difference between MSE and RMSE

The difference between the first and prognosticated values is represented by MSE (Mean Squared Error), which is generated by squaring the average difference over the data set. It's a metric for determining how close a fitted line is to the real data points.

The error rate by the square root of MSE is called RMSE (Root Mean Squared Error). RMSE is a better measure of fit than a correlation coefficient since it can be immediately translated into dimension units.