Calculus and Statistics Methods
Root Mean Squared Error (RMSE) is a measure of the differences between predicted values from a model and the actual observed values. It provides a way to quantify how well a model performs by calculating the square root of the average of the squared differences between predicted and observed values, effectively highlighting larger errors more than smaller ones. RMSE is commonly used in time series analysis to evaluate the accuracy of forecasting models.
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