# RMSE loss:

Root-Mean-Square-Error or RMSE is one of the most popular measures to estimate the accuracy of our forecasting model’s predicted values versus the actual or observed values while training the regression models or time series models.

It measures the error in our predicted values when the target or response variable is a continuous number. For example, when using regression models to predict a quantity like income, sales value/volumes, demand volumes, scores, height or weight etc.

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