A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models

Pascal Gerber, Lisa Jöckel, Michael Kläs

Outcomes of data-driven AI models cannot be assumed to be always correct. To estimate the uncertainty in these outcomes, the uncertainty wrapper framework has been proposed, which…