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Introduction (Chapter 1) Supplementary Table
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https://doi.org/10.17608/k6.auckland.28746362
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posted on 2025-04-07, 22:10
authored by
Catriona Miller
Catriona Miller
<p dir="ltr">Supplementary table 1.1 for my (Catriona Miller) PhD thesis. Outlines common metrics for machine learning, including their advantages and disadvantages, through a genomics lens.</p>
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University of Auckland Doctoral Scholarship
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University of Auckland
Contact
catriona.miller@auckland.ac.nz
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Machine learning not elsewhere classified
Bioinformatics and computational biology not elsewhere classified
Keywords
machine learning
metrics
genomics
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CC BY 4.0
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