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

arXiv: https://arxiv.org/abs/2109.06677 · HTML: https://mlsanity.com/paper/2109.06677/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 13 Sep 2021.

## Abstract (arXiv)

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.