Confusion Matrix Visualization

Confusion Matrix Visualization is a type of heatmap visualization that graphically represents the performance of a classification model by displaying the counts or proportions of true and predicted labels in a matrix format, where the rows correspond to actual classes and the columns to predicted classes.

21

Publications

1.5K

Citations

89

Authors

48

Institutions

Publications per year

2017–2026

13

Authors

89

  1. DT
    Desney Tan

    Microsoft (United States), United States

    2 publications · 361 citations

    2

    h-index

  2. DR
    Donghao Ren

    University of California, Santa Barbara, United States

    2 publications · 275 citations

    2

    h-index

  3. AK
    Ashish Kapoor

    Microsoft (United States), United States

    2 publications · 361 citations

    2

    h-index

  4. BL
    Bongshin Lee

    Microsoft (United States), United States

    2 publications · 361 citations

    2

    h-index

  5. CP
    Chanhee Park

    Yonsei University, South Korea

    1 publications · 13 citations

    1

    h-index

1–5 of 89

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 549 citations

    5

    h-index

  2. The Journal of Open Source Software

    JOSS · 1 publications · 171 citations

    1

    h-index

  3. Perception & Psychophysics

    1 publications · 96 citations

    1

    h-index

  4. IEEE Access

    1 publications · 28 citations

    1

    h-index

  5. Computational Intelligence and Neuroscience

    1 publications · 26 citations

    1

    h-index

1–5