Classification Error Visualization

Classification Error Visualization is a specialized form of error visualization that explicitly represents misclassification patterns in categorical predictions, distinguishing itself by focusing on the typology, distribution, and interpretation of incorrect class assignments in supervised learning outcomes.

26

Publications

1.5K

Citations

74

Authors

50

Institutions

Publications per year

2017–2026

10

Authors

74

  1. CD
    Chris Drummond

    University of Ottawa, Canada

    3 publications · 380 citations

    3

    h-index

  2. RC
    Robert C. Holte

    University of Alberta, Canada

    3 publications · 380 citations

    3

    h-index

  3. AR
    Andreas Rauber

    TU Wien, Austria

    1 publications · 111 citations

    1

    h-index

  4. PT
    Peter Tischer

    Monash University, Australia

    1 publications · 13 citations

    1

    h-index

  5. OM
    Ofra Magidor

    University of Oxford, United Kingdom

    1 publications · 41 citations

    1

    h-index

1–5 of 74

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 375 citations

    3

    h-index

  2. Knowledge-Based Systems

    1 publications · 91 citations

    1

    h-index

  3. Information Sciences

    1 publications · 42 citations

    1

    h-index

  4. Diabetes Research and Clinical Practice

    1 publications · 43 citations

    1

    h-index

  5. IEEE Access

    1 publications · 28 citations

    1

    h-index

1–5