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arXiv · 2109.06677

Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly

Alan F. Karr·Jason Hauzel·Prahlad Menon·Adam A. Porter·Marcel Schaefer
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Abstract

Specified Certainty Classification (SCC) is a new paradigm for employing classifiers whose outputs carry uncertainties, typically in the form of Bayesian posterior probabilities. By allowing the classifier output to be less precise than one of a set of atomic decisions, SCC allows all decisions to achieve a specified level of certainty, as well as provides insights into classifier behavior by examining all decisions that are possible. Our primary illustration is read classification for reference-guided genome assembly, but we demonstrate the breadth of SCC by also analyzing COVID-19 vaccination data.

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Alan F. Karr, Jason Hauzel, Prahlad Menon, Adam A. Porter, Marcel Schaefer. 2021-09-13. Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly. https://arxiv.org/abs/2109.06677

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