Just curious to hear any thoughts on weighting over prediction in mean absolute error to minimize the penalty since I'm more interested in under prediction, if that makes sense. Basically, I'm forecasting to find optimal staffing needs so I'm not as worried if the model over predicts too much. On the other hand, I do care about under prediction.
I have basically times the absolute error by half (totally arbitrary) to minimize the penalty on over predictions. I'm more seeking to discuss rather than find a solution since I've already implemented something.