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
Parents
26
PyCM: Multiclass confusion matrix library in Python
Sepand Haghighi, Masoomeh Jasemi, Shaahin Hessabi et al. · The Journal of Open Source Software · 2018 · 171 citations · Full text
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50

University of Alberta
Edmonton, Canada
3 h-index
3 publications
380 citations
National Research Council Canada
Ottawa, Canada
2 h-index
2 publications
337 citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
1 h-index
4 publications
116 citations
Bio-Synthesis (United States)
Lewisville, United States
1 h-index
1 publications
18 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
11 citations

Universidad de Oviedo
Oviedo, Spain
1 h-index
2 publications
32 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
2 publications
122 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
41 citations
1–8 of 50
TVCG · 3 publications · 375 citations
3
h-index
1 publications · 91 citations
1
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1 publications · 42 citations
1
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1 publications · 43 citations
1
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1 publications · 28 citations
1
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1–5