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

Authors

1.3K

  1. JL
    Jianping Li

    University of Electronic Science and Technology of China, China

    4 publications · 160 citations

    4

    h-index

  2. AA
    Alexander A. Huang

    Northwestern University, United States

    4 publications · 174 citations

    4

    h-index

  3. SY
    Samuel Y. Huang

    Northwestern University, United States

    4 publications · 174 citations

    4

    h-index

  4. AU
    Amin Ul Haq

    University of Electronic Science and Technology of China, China

    4 publications · 160 citations

    4

    h-index

  5. CJ
    Cort J. Willmott

    University of Delaware, United States

    3 publications · 5.2K citations

    3

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 1.9K citations

    14

    h-index

  2. PLoS ONE

    7 publications · 512 citations

    7

    h-index

  3. Journal of Chemical Information and Modeling

    JCIM · 6 publications · 2.3K citations

    6

    h-index

  4. Geoscientific model development

    6 publications · 8.8K citations

    6

    h-index

  5. Proteins Structure Function and Bioinformatics

    5 publications · 522 citations

    5

    h-index

1–5