Machine Learning with a Reject Option: A survey

arXiv:2107.11277v3 Announce Type: replace
Abstract: Machine learning models always make a prediction, even when it is likely to be inaccurate. This behavior should be avoided in many decision support applications, where mistakes can have severe consequences. Albeit already studied in 1970, machine learning with rejection recently gained interest. This machine learning subfield enables machine learning models to abstain from making a prediction when likely to make a mistake.
This survey aims to provide an overview on machine learning with rejection. …

abstract applications arxiv behavior consequences cs.ai cs.lg decision decision support machine machine learning machine learning models mistakes prediction support survey type