What does the last sentence of the following paragraph mean?(in Mean Square Error(MSE))
Sometimes it may be less useful as a single bad prediction may hamper the entire model’s predicting abilities, especially when dataset can contain a lot of noise. besides It is most useful when the dataset contains outliers, or unexpected values (too high or too low values).
Finally for what values is it most useful and for which it is less useful?
