Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards

• Simon P. Lailvaux ,

  Roles Conceptualization, Data curation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: slailvaux@gmail.com (SPL); thoque@uno.edu (MTH)

  Affiliation Department of Biological Sciences, The University of New Orleans, New Orleans, LA, United States of America

  https://orcid.org/0000-0002-2737-8682

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• Avdesh Mishra,

  Roles Formal analysis, Investigation, Supervision, Validation, Writing – review & editing

  Affiliation Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX, United States of America

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• Pooja Pun,

  Roles Formal analysis, Resources, Software, Validation, Writing – review & editing

  Affiliation Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America

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• Md Wasi Ul Kabir,

  Roles Data curation, Formal analysis, Validation, Writing – review & editing

  Affiliation Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America

  https://orcid.org/0000-0002-5940-5745

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• Robbie S. Wilson,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia

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• Anthony Herrel,

  Roles Data curation, Resources, Supervision, Writing – review & editing

  Affiliation Département Adaptations du Vivant, UMR 7179 C.N.R.S/M.N.H.N., Paris, France

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• Md Tamjidul Hoque

  Roles Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Writing – review & editing

  * E-mail: slailvaux@gmail.com (SPL); thoque@uno.edu (MTH)

  Affiliation Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America

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