Robust Ambiguity Detection (RAD) From Model- and Feature-Space Consistency
The Robust Ambiguity Detection (RAD) framework is advanced for quantifying predictive ambiguity using two complementary metrics: Model-Space Consistency and Feature-Space Consistency, which provide an interpretable characterisation of the sources of ambiguity and the actions a user may consider in response.