Online simple to use MSE calculator (Mean Squared Error)

MSE Calculator (Mean Squared Error)

MSE (Mean Squared Error) is a common machine learning metric for regression models. In this post I will provide you with a calculator to compute the MSE for a set of predictions and their corresponding actual values.

Stephen Allwright
Stephen Allwright

MSE (Mean Squared Error) is a common metric to use for measuring the error of regression predictions. Use this calculator to calculate the MSE for a list of predictions and their corresponding actual values.

The formula for calculating MSE is:

mse (mean squared error) formula for online calculator

Find out what a good MSE value is

How to interpret MSE values

Regression metrics

RMSE score
MAE score
R2 score
MAPE score

Regression metric comparisons

RMSE vs MSE
MSE vs MAE

Metric calculators

R squared calculator
Coefficient of determination calculator

References

MSE scitkit-learn documentation

Calculator

Stephen Allwright Twitter

I'm a Data Scientist currently working for Oda, an online grocery retailer, in Oslo, Norway. These posts are my way of sharing some of the tips and tricks I've picked up along the way.

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