The Root Mean Squared Error is effectively the square root of the MSE. However, since it has been 'rooted', it is in the same units as the output. Additionally, now that we have done this, the error is less biased against big errors.
Again, you don't need to actually remember these formulas much, although they should be fairly obvious. There are sklearn libraries to run these metrics, and we'll be using them.