This image shows the formula for Root Mean Square Error, also known as RMSE. First, for each value from i to n, the difference between the actual likelihood and the corresponding predicted likelihood is squared, then divided by n. The n results are then accumulated, and the square root of the final total gives the Root Mean Square Error.