Viewing the Results for a Modeling Node

Summary Tab

The following information is shown on the Summary tab.

Click to download a CSV file with the data for any plot or table on the Summary tab. You can choose to download either the raw data or data formatted for your specific locale.

MAPE Distribution

This graph shows the MAPE distribution of results. If an out-of-sample regionthe number of time periods before the end of the data that are removed when fitting models. After model selection, forecasts are generated in the out-of-sample region and then compared to the actual data to determine accuracy. is specified for the project, you can select between the in-sample and out-of-sample MAPE distribution.

Model Family

This graph shows the percentage of time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) model by each model family. This graph shows how each model type (ARIMA, Combined, Exponential Smoothing, Intermittent Demand, and Unobserved Components) fits the series. Neural network models are included in the Other family.

Model Type

This graph shows the percentage of time series used for by each model type. This graph shows whether the model included a dependent transformation, a seasonal component, a trend component, inputs (such as independent variables), eventsan incident that disrupts the normal flow of any process that generates the time series. Examples of events are holidays, retail promotions, and natural disasters., and outliers. This table is not displayed for non-time series based modeling nodes, such as the Panel Series Neural Network, Stacked Model (NN+TS), and Multistage Model.

Execution Summary

This table shows the results of the following measures.

Number of series

the total number of time series accumulated from the data. For a Hierarchical Forecasting modeling node, this corresponds to the number of time series in each level of the hierarchy.

Number of failures

the number of time series where forecasts failed. For a Hierarchical Forecasting modeling node, this corresponds to the number of time series in each level of the hierarchy where forecasts failed.

Number of forecasts equal to zero

the number of time series with at least one forecasta numerical prediction of a future value for a specified time period for each unique combination of BY variable values equal to 0. Retired time series are excluded from this measure.

Number of intermittent series with flat forecasts

the number intermittent time series that have a constant forecast value over the length of the forecast horizonthe number of intervals into the future, beyond a base date, for which analyses and predictions are made. . Retired series and series with at least one zero forecast are excluded from this measure.

Forecasts for a time series are determined to be flat when the forecast range (maximum - minimum predicted value) is less than 0.00001.

Number of seasonal series with flat forecasts

the number in seasonal time series that have a constant forecast value over the length of the forecast horizon. Retired series and series with at least one zero forecast are excluded from this measure.

Forecasts for a time series are determined to be flat when the forecast range (maximum - minimum predicted value) is less than 0.00001.

Number of short series with flat forecasts

the number of short time series that have a constant forecast value over the length of the forecast horizon. Retired series and series with at least one zero forecast are excluded from this measure.

Forecasts for a time series are determined to be flat when the forecast range (maximum - minimum predicted value) is less than 0.00001.

Number of all other series with flat forecasts

the number of all other time series that have a constant forecast value over the length of the forecast horizon. This number does not include short, intermittent, or seasonal time series with flat forecast values. Also, retired series and series with at least one zero forecast are excluded from this measure.

Forecasts for a time series are determined to be flat when the forecast range (maximum - minimum predicted value) is less than 0.00001.

Number of retired series

the number of time series that have been identified as retired. See Retired for a full description of how time series are identified as retired.

Number of forecasts below 70%

the number of time series with forecast values that are below the minimum range of the mean value for that time series. The forecasts for these series can be problematic. The minimum range value is set to 70% by default. If you change this setting using the Forecast exception boundaries in the Project Settings, this number reflects that change.

Number of forecasts above 300%

the number of time series with forecast values that are above the maximum range of the mean value for that time series. The forecasts for these series can be problematic. The maximum range value is set to 300% by default. If you change this setting using the Forecast exception boundaries in the Project Settings, this number reflects that change.

See Also

• Generating Output from SAS Model Studio in SAS Visual Forecasting: Overview

Output Data

This tab displays the output tables that are generated by modeling nodes or postprocessing nodes in a pipeline or segment. If the table does not initially load, click View output data in the content area. Click to save any selected table to a location in the CAS library. Click to port the table to SAS Visual Analytics for further investigation. These tables can be sorted when you click the columns. You can also arrange and remove columns in the table, as described in Working with Tables in SAS Model Studio in SAS Visual Forecasting: Overview.

The tables provided on this tab can be different, depending on the node. If the node is the champion for the pipeline, these tables are also displayed in the results for Model Comparison. For a list of all output tables, see Output Data Sets.