The Forecast vs. Actual Graph

Visualize a graphic representation of the time series and the forecast.

The Forecast vs. Actual graph appears in the Forecast tab of your report. The Forecast vs. Actual graph shows curves for the predicted values (forecast) and actual values (target) for the time series data source. You can then quickly see how accurate your predictive model is. The predictions are displayed at end of the graph.

For each forecasted value, the predictive model shows an estimation of the minimum and maximum error. The area between this upper and lower limit of the possible errors in the predictive forecasts produced by your predictive model, is called the confidence interval. It's only displayed for the predictive forecasts.

Outliers are values marked with a red circle on the graph (see The Time Series Outliers for more information). The forecasting error indicator is the absolute difference between the actual and predicted values. This is also called the residue. The residue abnormal threshold is set to 3 times the standard deviation of the residue values on an estimation (or validation) data source. The forecasted value and error limit values are listed in the table for each predictive forecast.
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If you choose to get predictive forecasts per entity, you have this information for each entity.
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You can display the data as a table. See Customizing the Visualization of Your Debrief.