UNNT: A novel Utility for comparing Neural Net and Tree-based models

Vineeth Gutta; Satish Ranganathan Ganakammal; Sara Jones; Matthew Beyers; Sunita Chandrasekaran

doi:10.1371/journal.pcbi.1011504

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Peer-reviewed

UNNT: A novel Utility for comparing Neural Net and Tree-based models

Vineeth Gutta ,

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

* E-mail: vineethg@udel.edu

Affiliation Department of Computer & Information Sciences, University of Delaware, Newark, Delaware, United States of America

https://orcid.org/0000-0002-1382-8128

⨯
Satish Ranganathan Ganakammal,

Roles Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing

Affiliation Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America

https://orcid.org/0000-0003-2534-7548

⨯
Sara Jones,

Roles Data curation, Supervision, Writing – review & editing

Affiliation Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
⨯
Matthew Beyers,

Roles Conceptualization, Project administration, Supervision, Writing – review & editing

Affiliation Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America

https://orcid.org/0000-0001-9324-6429

⨯
Sunita Chandrasekaran

Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

Affiliation Department of Computer & Information Sciences, University of Delaware, Newark, Delaware, United States of America

https://orcid.org/0000-0002-3560-9428

⨯

UNNT: A novel Utility for comparing Neural Net and Tree-based models

Vineeth Gutta,
Satish Ranganathan Ganakammal,
Sara Jones,
Matthew Beyers,
Sunita Chandrasekaran

Published: April 29, 2024
https://doi.org/10.1371/journal.pcbi.1011504

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