Several metrics are used to measure forecast accuracy, including:
Mean Absolute Percentage Error (MAPE): This metric expresses forecast errors as a percentage of actual values, making it easy to interpret. Mean Absolute Deviation (MAD): This measures the average magnitude of errors, providing a straightforward way to assess accuracy. Mean Squared Error (MSE): This metric squares the errors before averaging them, giving more weight to larger errors.