In a transductive setting, the goal is to assess the uncertainty associated with a specific prediction ŷi for a given query instance x i ∈ X . For end users, understanding the uncertainty tied to individual predictions is often more valuable than receiving a generalized reliability score that is independent of the particular instance. In the following, we provide an overview of the different sources of uncertainty in supervised learning. For a more detailed discussion on how predictive uncertainty can be decomposed into its various sources, we refer the reader to Huellermeier et al. .