MySQL 8.4.0 introduces prediction intervals for forecasting models. This feature specifies upper and lower bounds on predictions for forecasting based on level of confidence. For example, for a prediction interval of 0.95 with a lower bound of 25 units and an upper bound of 65 units, you are 95% confident that product ABC will sell between 25 and 65 units on a randomly selected day.
          The prediction_interval option is included
          for the ML_PREDICT_TABLE
          routine, which specifies a level of confidence. Predictions
          provide three outputs corresponding to each endogenous
          variable: the forecasted value, a lower bound, and an upper
          bound.
        
          For the prediction_interval option:
        
- The default value is 0.95. 
- The data type for this value must be FLOAT. 
- The value must be greater than 0 and less than 1.0. 
- Learn how to Train a Forecasting Model.