What's a Good Mse?

There is no correct value for MSE. Simply put, the lower the value the better and 0 means the model is perfect. Since there is no correct answer, the MSE's basic value is in selecting one prediction model over another. ... 100% means perfect correlation.

What is an acceptable MSE?

There are no acceptable limits for MSE except that the lower the MSE the higher the accuracy of prediction as there would be excellent match between the actual and predicted data set. This is as exemplified by improvement in correlation as MSE approaches zero. However, too low MSE could result to over refinement.

What is a good root MSE?

Based on a rule of thumb, it can be said that RMSE values between 0.2 and 0.5 shows that the model can relatively predict the data accurately. In addition, Adjusted R-squared more than 0.75 is a very good value for showing the accuracy.