What does RMSE really mean?
Published in
7 min readSep 5, 2019
Root Mean Square Error (RMSE) is a standard way to measure the error of a model in predicting quantitative data. Formally it is defined as follows:
Let’s try to explore why this measure of error makes sense from a mathematical perspective. Ignoring the division by n under the square root, the first thing we can notice is a resemblance to the formula for the Euclidean distance between two vectors in ℝⁿ:
This tells us heuristically that RMSE can be thought of as some kind of (normalized) distance between the vector of predicted values and the vector of…