Saving Predictive Forecasts Generated by a Time Series Predictive Model into a Dataset

You've assessed the performance of your predictive model and you're confident saving the predictive forecasts into a dataset.

Context

To save the predictive forecast results into a dataset:

Procedure

  1. Open the relevant predictive model.
  2. Under the icon bar, click the Save Forecasts icon.
  3. Under Save As give a name to your generated dataset.
  4. Click Save.
    In the predictive model list, the status of your predictive model is updated to <Applied>. To find your generated dataset with the forecasts, from the side navigation, choose (Datasets) and view the list of recent files, or from the side navigation, choose Files and search for the predictive model in a private, public, or workspace folder.
    Here are the columns that are added to your generated dataset:
    Column Name Description
    Forecast This is the column where you find the forecast values for the target based on the number of requested forecasts specified in the predictive model settings.
    Error Min For each requested forecast at a given horizon H, the predictive model calculates a confidence interval. The Error Min value is the lower bound of this confidence interval. It is equal to the forecasted value – sigma(RMSE)*1.96, where sigma (RMSE) represents the standard deviation of RMSE between the actual and forecasted target value at horizon H. The weighted value of 1.96 corresponds to a confidence level of 95%.
    Error Max For each requested forecast at a given horizon H, the predictive model calculates a confidence interval. The Error Max value is the upper bound of this confidence interval. It is equal to the forecasted value + sigma(RMSE)*1.96, where sigma(RMSE) represents the standard deviation of RMSE between the actual and forecasted target value at horizon H. The weighted value of 1.96 corresponds to a confidence level of 95%.