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
Parents
21
Justin Talbot, Bongshin Lee, Ashish Kapoor et al. · 2009 · 227 citations
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
Interactive optimization for steering machine classification
Ashish Kapoor, Bongshin Lee, Desney Tan et al. · 2010 · 134 citations
1–5 of 21
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48
Tsinghua University
Beijing, China
2 h-index
8 publications
696 citations
Microsoft (United States)
Redmond, United States
2 h-index
7 publications
1.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
5 publications
931 citations
Sungkyunkwan University
Seoul, South Korea
1 h-index
2 publications
86 citations

Imperial College London
London, United Kingdom
1 h-index
2 publications
112 citations

University of Bergamo
Bergamo, Italy
1 h-index
2 publications
56 citations
Asia Pacific College
Makati City, Philippines
1 h-index
3 publications
93 citations

TU Wien
Vienna, Austria
1 h-index
4 publications
444 citations
1–8 of 48
TVCG · 5 publications · 549 citations
5
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JOSS · 1 publications · 171 citations
1
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1 publications · 96 citations
1
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1 publications · 28 citations
1
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1 publications · 26 citations
1
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