The mean absolute error, mean squared error, and mean absolute percentage error are all methods to measure the accuracy of a forecast. these methods measure forecast accuracy by select one:

a. adjusting the scale of the data.

b. using the current value to estimate how well the model generates previous values correctly.

c. determining how well a particular forecasting method is able to reproduce the time series data that are already available.

d. predicting the future values and wait for a pre-defined time period to examine how accurate the predictions were.