Definition Root mean squared error

The Root Mean Squared Error (RMSE) is an important statistical calculation used to determine the difference between predicted values in a model and actual values from observations. If this difference is large, the model is likely to be less accurate than if the difference is small; therefore, a modeler can calculate the RMSE and adjust other features until the RMSE is as small as possible to improve the model.

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