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Royal Botanic Gardens, Kew
Thesis Or Dissertation
Learning from mistakes: Understanding and refining machine learning predictions of extinction risk.
Learning from mistakes: Understanding and refining machine learning predictions of extinction risk.
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Name
Emma Ericksen - Dissertation with cover.pdf
Size
3.04 MB
Format
Adobe PDF
Checksum
(MD5)
e116682792e133b74de729f08dc23350
Resource type
Master's dissertation
Creator (person)
Ericksen, Emma
ORCID
Date published
October 2025
Organisational unit
Science
Pagination
1-40
Publisher
Queen Mary, University of London, United Kingdom
Official URL
https://doi.org/10.34885/5h1d-cx23
Rights statement
In Copyright
DOI
10.34885/5h1d-cx23
Keywords
Random forest
Machine learning
Angiosperms
Ethiopia
Extinction risk
Multinomial model
IUCN Red List
Endemic plants
Additional information
Dissertation submitted for the degree of Master of Science in Biodiversity and Conservation awarded by Queen Mary, University of London.
Collection
MSc Dissertations: Biodiversity and Conservation
