Concepedia

Classification Sensitivity

Classification Sensitivity is a metric in machine learning evaluation that quantifies the extent to which a classification model correctly identifies positive instances among all actual positives, distinguishing it from other performance measures by its focus on the true positive detection capability within binary or multiclass decision systems.

145

Publications

22.8K

Citations

465

Authors

275

Institutions

Publications per year

2017–2026

57

Variants

True Positive Rate

Parents

Publications

145

A systematic analysis of performance measures for classification tasks

Marina Sokolova, Guy Lapalme · Information Processing & Management · 2009 · 6.5K citations

, , +15

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier · PLoS ONE · 2015 · 4.7K citations · Full text

, , +13

MetaCost

Pedro Domingos · 1999 · 1.3K citations

, , +8

Measuring classifier performance: a coherent alternative to the area under the ROC curve

David J. Hand · Machine Learning · 2009 · 998 citations · Full text

, , +14

An experimental comparison of performance measures for classification

Cèsar Ferri, José Hernández‐Orallo, R. Modroiu · Pattern Recognition Letters · 2008 · 888 citations

, , +13

1–5 of 145

Authors

465

  1. TF
    Tom Fawcett

    Hewlett-Packard (United States), United States

    3 publications · 827 citations

    3

    h-index

  2. WW
    Wing W. Y. Ng

    South China University of Technology, China

    3 publications · 264 citations

    3

    h-index

  3. AE
    Ahmed E. Hassan

    Queen's University, Canada

    3 publications · 467 citations

    3

    h-index

  4. DJ
    David J. Hand

    Imperial College London, United Kingdom

    3 publications · 1.3K citations

    3

    h-index

  5. SC
    Steven C. H. Hoi

    Nanyang Technological University, Singapore

    2 publications · 131 citations

    2

    h-index

1–5 of 465

Institutions

275

  1. Imperial College London

    London, United Kingdom

    4 h-index

    7 publications

    1.9K citations

  2. Queen's University

    Kingston, Canada

    3 h-index

    8 publications

    558 citations

  3. University of Potsdam

    Potsdam, Germany

    3 h-index

    7 publications

    215 citations

  4. Freie Universität Berlin

    Berlin, Germany

    3 h-index

    5 publications

    253 citations

  5. University of Córdoba

    Córdoba, Spain

    3 h-index

    8 publications

    138 citations

  6. Universitat Politècnica de València

    Valencia, Spain

    2 h-index

    5 publications

    2.8K citations

  7. Nanyang Technological University

    Singapore, Singapore

    2 h-index

    5 publications

    285 citations

  8. École de Technologie Supérieure

    Montreal, Canada

    2 h-index

    3 publications

    272 citations

1–8 of 275

Venues

  1. Machine Learning

    5 publications · 1.3K citations

    5

    h-index

  2. Pattern Recognition Letters

    4 publications · 1.1K citations

    4

    h-index

  3. Bioinformatics

    3 publications · 222 citations

    3

    h-index

  4. PubMed

    Repository · 3 publications · 82 citations

    3

    h-index

  5. IEEE Transactions on Biomedical Engineering

    3 publications · 364 citations

    3

    h-index

1–5