When a model predicts not just the next step, but the next 10 steps into the future, what kind of evaluation is needed to check its performance over this longer period?

To check the performance of a model predicting 10 steps into the future, a multi-step-ahead forecasting evaluation is needed, specifically employing a rolling forecast origin methodology. This approach simulates how the model would perform in a real-world scenario by repeatedly making predictions and then moving the point from which forecasts originate forward in time. For example, the model predicts steps 1 to 10 starting from Monday's data; then, with Tuesday's data as the new forecast origin, it predicts steps 1 to 10 again, based on the updated information. This process is repeated across a significant portion of the historical data to generate many sets of 10-step forecasts, allowing for a comprehensive assessment over varying conditions. Evaluating these predictions involves assessing both point for....