This article describes how to make predictions with your time series model. For this, you need to navigate to the Predictions tab on your prediction report. The only parameter to specify here is the Forecast period. The forecast period specifies the duration of future predictions. For example, if your original dataset was for monthly car sales from January 2021 to December 2021, and you put the forecast period as 6, this means that you are interested in knowing the car sales for the next 6 months, i.e., January 2022 - June 2022

Here, as you can see on the screenshot above, the default value for Forecast Period is 10, and the Predictions already show the future forecast values for the next 10 months, since our original dataset had monthly level data. The Predictions plot on the right helps you visualize the distribution of your future sales. You can always hover over the graph to check the forecast value for a particular month

However, you have the option to choose your desired forecast period. Just use the +/- buttons to increase/decrease the value. Then click on Predict and your new Predictions will be ready right below and the graph updated accordingly. That's how simple and easy it is to perform time series forecasting within our platform. Currently, the maximum forecast period value that you can enter is 1000 (for any data level).

Moreover, you are also able to download the predictions as a csv file and the prediction plot as a jpg file. We used a forecast period of 12 and now the prediction results (12 rows) and the graph are both updated

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