MACEst
MACEst
**Model Agnostic Confidence Estimator**, or **MACEst**, is a model-agnostic confidence estimator. Using a set of nearest neighbours, the algorithm differs from other methods by estimating confidence independently as a local quantity which explicitly accounts for both aleatoric and epistemic uncertainty. This approach differs from standard calibration methods that use a global point prediction model as a starting point for the confidence estimate.
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
https://paperswithcode.com/paper/macest-the-reliable-and-trustworthy-model
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator