Model Evaluation Metrics
Model Evaluation Metrics is a systematic framework used to quantify the performance of predictive models by measuring the divergence between predicted and actual outcomes according to specific statistical criteria.
374
Publications
98.8K
Citations
1.3K
Authors
600
Institutions
Publications per year
2017–2026
197
Variants
Model Performance Metrics
374
When to use and how to report the results of PLS-SEM
Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al. · European Business Review · 2018 · 24.2K citations
Social Sciences, Educational Measurement, Method Validation +16
1–5 of 374
1.3K
University of Electronic Science and Technology of China, China
4 publications · 160 citations
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University of Electronic Science and Technology of China, China
4 publications · 160 citations
4
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3
h-index
1–5 of 1.3K
600
Stanford University
Stanford, United States
7 h-index
12 publications
1.3K citations
Universität Hamburg
Hamburg, Germany
6 h-index
7 publications
31.8K citations

University of Electronic Science and Technology of China
Chengdu, China
6 h-index
27 publications
1.2K citations
Northwestern University
Evanston, United States
6 h-index
9 publications
711 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
10 publications
578 citations
University of Maryland, College Park
College Park, United States
5 h-index
7 publications
6.9K citations
University of Delaware
Newark, United States
5 h-index
7 publications
6.9K citations
University of California, Davis
Davis, United States
5 h-index
8 publications
934 citations
1–8 of 600
Repository · 17 publications · 1.9K citations
14
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7 publications · 512 citations
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JCIM · 6 publications · 2.3K citations
6
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6 publications · 8.8K citations
6
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5 publications · 522 citations
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