What does RMSE really mean?

James Moody
Towards Data Science
7 min readSep 5, 2019

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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…

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