Auc Ratio Analysis
AUC Ratio Analysis is a metric-level contribution in machine learning evaluation that quantifies the relative performance of two models by comparing their respective areas under the receiver operating characteristic curve through a ratio-based formulation.
209
Publications
8.2K
Citations
1.1K
Authors
425
Institutions
Publications per year
2017–2026
27
Parents
209
Vancomycin: We Can't Get There From Here
Nimish Patel, Manjunath P. Pai, Keith A. Rodvold et al. · Clinical Infectious Diseases · 2011 · 246 citations
Hayley S. Brown, Kiyomi Ito, Aleksandra Galetin et al. · British Journal of Clinical Pharmacology · 2005 · 148 citations · Full text
1–5 of 209
1.1K
Gause Institute of New Antibiotics Russian Academy of Medical Sciences, Russia
3 publications · 149 citations
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3
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3
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3
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3
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1–5 of 1.1K
425
University at Buffalo, State University of New York
Buffalo, United States
6 h-index
19 publications
635 citations
Merck & Co., Inc., Rahway, NJ, USA (United States)
Rahway, United States
5 h-index
39 publications
1.6K citations
Pfizer (United States)
New York, United States
5 h-index
20 publications
754 citations

University of Turku
Turku, Finland
4 h-index
19 publications
1.3K citations

University of Helsinki
Helsinki, Finland
4 h-index
16 publications
936 citations
National Cancer Institute
Bethesda, United States
3 h-index
4 publications
292 citations

University of Tübingen
Tübingen, Germany
3 h-index
11 publications
405 citations
Hokkaido Pharmaceutical University
Sapporo, Japan
3 h-index
12 publications
303 citations
1–8 of 425
28 publications · 1K citations
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BJCP · 23 publications · 1.1K citations
19
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Repository · 19 publications · 789 citations
15
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CPT · 14 publications · 732 citations
13
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AAC · 13 publications · 582 citations
12
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