Predictor uses one of three error measures to determine which time-series forecasting method works best. When determining the best method, Predictor calculates the selected error measure when fitting each method to the historical data. The method with the lowest error measure is considered best, and the rest of the methods are ranked accordingly.
By default, Predictor uses RMSE to select the best method.
To change which error measure Predictor uses:
On the Options panel, select the error measure you want Predictor to use to determine the best method:
RMSE - Root Mean Squared Error
MAD - Mean Absolute Deviation
MAPE - Mean Absolute Percentage Error
For more information on these error measures, see the Glossary in this document and the Predictor sections of the Oracle Crystal Ball Reference and Examples Guide.
Follow the instructions in Selecting Forecasting Techniques to complete the Options settings and prepare to run the forecasts.