Importing the metrics that are displayed on the right hand panel of PlanIQ is currently not an available feature.
The approach I encourage most users to take is to calculate the relevant forecast evaluation metrics directly in Anaplan. Once you have forecast results from PlanIQ, if you have actuals available for the period you were forecasting or imported your backtest results, you have all the information you need.
Additionally, the metrics displayed in the PlanIQ interface don't offer much value, as they are simply averages of metrics across the entire data set. We're working to correct this in the future. By calculating the metrics directly in Anaplan you can correctly determine which particular algorithm has been the most accurate at predicting each individual time series in the data set (which is likely your desired outcome).
I've attached images of a very simple way to calculate the evaluation metrics that I think are usually most appropriate in doing this type of analysis.
MAE = Mean Absolute Error
MAPE = Mean Absolute Percent Error
sMAPE = Symmetric Mean Absolute Percent Error
RMSE = Root Mean Squared Error
Please let me know if there is any other information that would be helpful for you!