Stacked conformal prediction
This episode discusses 'Stacked conformal prediction,' a method for creating reliable and computationally efficient prediction intervals. The hosts explain how stacking multiple base models and applying conformal prediction can yield tighter, valid intervals without needing to waste data on separate calibration sets.