Error metrics are used to measure the accuracy of the forecasting models. Examples of error metrics include Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).
Error metrics are used to measure the accuracy of the forecasting models. Examples of error metrics include Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).