The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration ; volume:8 ; number:1 ; day:5 ; month:11 ; year:2024 ; pages:1-18 ; date:12.2024
Diagnostic and prognostic research ; 8, Heft 1 (5.11.2024), 1-18, 12.2024
- Urheber
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Austin, Peter C.
Lee, Douglas S.
Wang, Bo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s41512-024-00179-z
- URN
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urn:nbn:de:101:1-2501232109010.208324333006
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Austin, Peter C.
- Lee, Douglas S.
- Wang, Bo
- SpringerLink (Online service)
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