I have some input feature representing a physical quantity that's measured with a given incertitude.
Is there a way to feed the information about the incertitude to, let's say, a regressor using that feature in an effective way?
Two ways I see are creating new features by adding/subtracting the incertitude or making different predictions using the measured value and the upper/lower bounds separately. But I'm wondering if someone has a better approach up the sleeve!
