Predictive Performance is a model evaluation metric that quantifies the accuracy with which a predictive model generalizes to unseen data, distinguishing itself from other validation metrics by focusing specifically on the model's ability to produce correct predictions in real-world or out-of-sample conditions.
6.8K
Publications
506K
Citations
29.9K
Authors
6.2K
Institutions
Publications per year
2017–2026
3.7K
Parents
Publications
6.8K
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak · Radiology · 2015 · 8.3K citations
A working guide to boosted regression trees
Jane Elith, John R. Leathwick, Trevor Hastie · Journal of Animal Ecology · 2008 · 6.5K citations · Full text
Computing, Biostatistics, Ecology +14
1–5 of 6.8K
Authors
29.9K
- EW
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- AA
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- LK
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- AC
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- KG
14
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1–5 of 29.9K
Institutions
6.2K
Harvard University
Cambridge, United States
51 h-index
374 publications
85.5K citations
University of Washington
Seattle, United States
42 h-index
172 publications
31.6K citations
University of Cambridge
Cambridge, United Kingdom
41 h-index
146 publications
12.4K citations
Stanford University
Stanford, United States
39 h-index
166 publications
30.4K citations
University of Toronto
Toronto, Canada
37 h-index
150 publications
16K citations
University College London
London, United Kingdom
37 h-index
221 publications
16.1K citations
The University of Melbourne
Melbourne, Australia
36 h-index
171 publications
27.2K citations
University of Pennsylvania
Philadelphia, United States
35 h-index
120 publications
8.1K citations
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Venues
- arXiv (Cornell University)
Repository · 217 publications · 18.6K citations
51
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- Scientific Reports
148 publications · 7K citations
45
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- PLoS ONE
109 publications · 6.6K citations
43
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- Bioinformatics
64 publications · 6.1K citations
39
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- BMC Bioinformatics
61 publications · 7.3K citations
35
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