Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models

• Stephane Doyen ,

  Contributed equally to this work with: Stephane Doyen, Michael E. Sughrue

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: stephane.doyen@o8t.com

  Affiliation Omniscient Neurotechnology, Sydney, Australia

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• Hugh Taylor ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Omniscient Neurotechnology, Sydney, Australia

  ⨯
• Peter Nicholas ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software

  ¶‡ These authors also contributed equally to this work.

  Affiliation Omniscient Neurotechnology, Sydney, Australia

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• Lewis Crawford ,

  Roles Methodology, Visualization, Writing – original draft, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Omniscient Neurotechnology, Sydney, Australia

  https://orcid.org/0000-0003-2231-5196

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• Isabella Young ,

  Roles Conceptualization, Investigation, Methodology, Resources

  ¶‡ These authors also contributed equally to this work.

  Affiliation Omniscient Neurotechnology, Sydney, Australia

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• Michael E. Sughrue

  Contributed equally to this work with: Stephane Doyen, Michael E. Sughrue

  Roles Conceptualization, Resources, Supervision, Validation

  Affiliation Omniscient Neurotechnology, Sydney, Australia

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