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Classifier uncertainty: evidence, potential impact, and probabilistic treatment

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0 Published in 2021 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.398

Abstract: Classifiers are often tested on relatively small data sets, which should lead to uncertain performance metrics. Nevertheless, these metrics are usually taken at face value. We present an approach to quantify the uncertainty of classification… read more here.

Keywords: uncertainty; potential impact; classifier uncertainty; performance ... See more keywords