Data from: Learning to see the wood for the trees: machine learning, decision trees and the classification of isolated theropod teeth

Simon Wills, Charlie J. Underwood & Paul M. Barrett
Taxonomic identification of fossils based on morphometric data traditionally relies on the use of standard linear models to classify such data. Machine learning and decision trees offer powerful alternative approaches to this problem but are not widely used in palaeontology. Here, we apply these techniques to published morphometric data of isolated theropod teeth in order to explore their utility in tackling taxonomic problems. We chose two published datasets consisting of 886 teeth from 14 taxa...

Registration Year

  • 2020
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Resource Types

  • Dataset
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Affiliations

  • Birkbeck, University of London
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  • Natural History Museum
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