The Time series forecast zone is where the Simple Forecast is built and new features are created. More complete details about these steps are available [here](article:37).

![Screenshot 2023-01-12 at 18.17.50.png](fRwE2YKfEMOx)

The [python recipe](recipe:compute_forecasted_ts_features) produces tree output datasets: 
- The  [ forecasted_features_dataset ](dataset:forecasted_features_dataset) contains all the results from the time series forecasts made, including for each combination of date, horizon, and category a predicted value in a normalised format. It also includes for each row the reference date, which is the date on which the forecast was made. 
- The  [not_ts_forecasted_data ](dataset:not_ts_forecasted_data) includes the minimum amount of data points that were used to build the forecast but for whom no predicted value could be computed. 
- The [arima_models_parameters](dataset:arima_models_parameters) dataset stores the parameter of each ARIMA model built by the python recipe. The [prepare recipe](recipe:compute_arima_models_parameters_prepared) is used to reformat the dataset in order to include it on the fourth page of the dashboard. 







