Interpreting tree ensemble machine learning models with endoR.
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| Title: | Interpreting tree ensemble machine learning models with endoR. |
|---|---|
| Authors: | Ruaud, Albane1 (AUTHOR), Pfister, Niklas2 (AUTHOR), Ley, Ruth E.1 (AUTHOR), Youngblut, Nicholas D.1 (AUTHOR) nicholas.youngblut@tuebingen.mpg.de |
| Source: | PLoS Computational Biology. 12/14/2022, Vol. 18 Issue 12, p1-39. 39p. 1 Diagram, 2 Charts, 4 Graphs. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 160782103 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160782103 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1010714 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 39 StartPage: 1 Titles: – TitleFull: Interpreting tree ensemble machine learning models with endoR. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ruaud, Albane – PersonEntity: Name: NameFull: Pfister, Niklas – PersonEntity: Name: NameFull: Ley, Ruth E. – PersonEntity: Name: NameFull: Youngblut, Nicholas D. IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 12 Text: 12/14/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 18 – Type: issue Value: 12 Titles: – TitleFull: PLoS Computational Biology Type: main |
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