Business Analytics
Root Mean Squared Error (RMSE) is a widely used metric to measure the accuracy of a predictive model by calculating the square root of the average of the squares of the errors—that is, the differences between predicted and observed values. It provides insight into how well a model performs by quantifying the amount of deviation of predicted values from actual results, making it an essential tool in evaluating forecasting methods.
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