probabilistic forecasting

The missing question in supervised learning

You all know the drill – you’re asked to make predictions of a continuous variable, so you turn to your favourite supervised learning method to do the trick. But have you ever suspected that you could be after the wrong type of output before you even begin? Regression trees, loess, linear regression… you name it, they’re all in pursuit of the mean (well, almost all). But the true outcome is random.