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Root Mean Square Error Calculator

RMSE summarises the magnitude of differences between observed and predicted values, giving larger errors extra weight because errors are squared.

How to use this calculator

  1. Enter observed and predicted series separated by semicolons; keep units and sequence order consistent.
  2. Check that every input uses the stated units and covers the same period, population or project scope.
  3. Change one assumption at a time when comparing scenarios.

Formula used by root mean square error calculator

RMSE = √(Σ(observed − predicted)² ÷ n)

  • RMSE = √(Σ(observed − predicted)² ÷ n)
  • Both lists must contain the same number of finite numeric values in matching order.
  • Inputs are validated against the tool-specific constraints; displayed results are rounded for readability.

Worked examples

Worked example

For observed values 10; 12; 14; 15 and predictions 9; 13; 13; 16, RMSE is 1 unit.

The calculator pairs list entries in order, computes squared errors, averages them and takes the square root.

The calculator pairs list entries in order, computes squared errors, averages them and takes the square root.

Understanding the result

RMSE summarises the magnitude of differences between observed and predicted values, giving larger errors extra weight because errors are squared.

Both lists must contain the same number of finite numeric values in matching order.

Important notes

Both lists must contain the same number of finite numeric values in matching order.

Treat the result as an estimate for the assumptions entered; verify important specifications against the relevant source or professional guidance.

Frequently asked questions

What units does RMSE use?

RMSE has the same units as the observed and predicted values.

Is lower RMSE always better?

It indicates smaller errors for comparable data and tasks, but comparison methods and data sets must be comparable.

How should I use this result?

Enter observed and predicted series separated by semicolons; keep units and sequence order consistent.

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Related explanations

Learn the method behind the number or compare the terminology before using the calculator.

  • How to Calculate Percent Error — Learn the percent error formula and how to compare an experimental value with a reference or accepted value.
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  • Percent Difference — Understand percent difference, when it is appropriate, and how it differs from percentage change and percent error.

This page provides a calculation tool plus explanatory information so you can understand what the result means and when the underlying method may not fit your situation.

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