An Error Metric is a type of Metric used to measure the error of a forecasting model. They can provide a way for forecasters to quantitatively compare the performance of competing models. Some common error metrics are:
Mean Squared Error (MSE) Root Mean Square Error (RMSE) Mean absolute error (MAE) Mean Absolute Scaled Error (MASE) Mean Absolute Percentage Error (MAPE) Symmetric Mean Absolute Percentage Error (SMAPE)