Comments on “MLCM: Multi-Label Confusion Matrix”
In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for multi-label classification problems,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10103535/ |
| _version_ | 1797835792595288064 |
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| author | Damir Krstinic Ljiljana Seric Ivan Slapnicar |
| author_facet | Damir Krstinic Ljiljana Seric Ivan Slapnicar |
| author_sort | Damir Krstinic |
| collection | DOAJ |
| description | In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for multi-label classification problems, we point out that the method for computing a multi-label confusion matrix was previously proposed in the paper “Multi-Label Classifier Performance Evaluation with Confusion Matrix” by Krstinić et al. We will show that both methods are based on the same set of assumptions and scenarios for instances of true and predicted labels, while there are differences in computing the contribution of classification errors to the confusion matrix between these two approaches. |
| first_indexed | 2024-04-09T14:58:09Z |
| format | Article |
| id | doaj.art-06e76b3e734647878278f3c562f9aef5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T14:58:09Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-06e76b3e734647878278f3c562f9aef52023-05-01T23:00:53ZengIEEEIEEE Access2169-35362023-01-0111406924069710.1109/ACCESS.2023.326767210103535Comments on “MLCM: Multi-Label Confusion Matrix”Damir Krstinic0https://orcid.org/0000-0002-9946-6630Ljiljana Seric1https://orcid.org/0000-0002-6390-1899Ivan Slapnicar2https://orcid.org/0000-0002-8741-3988Department for Modelling and Intelligent Systems, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, CroatiaDepartment of Mathematics and Physics, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, CroatiaDepartment for Modelling and Intelligent Systems, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, CroatiaIn the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for multi-label classification problems, we point out that the method for computing a multi-label confusion matrix was previously proposed in the paper “Multi-Label Classifier Performance Evaluation with Confusion Matrix” by Krstinić et al. We will show that both methods are based on the same set of assumptions and scenarios for instances of true and predicted labels, while there are differences in computing the contribution of classification errors to the confusion matrix between these two approaches.https://ieeexplore.ieee.org/document/10103535/Multi-label classificationconfusion matrixclassification performancemachine learning |
| spellingShingle | Damir Krstinic Ljiljana Seric Ivan Slapnicar Comments on “MLCM: Multi-Label Confusion Matrix” IEEE Access Multi-label classification confusion matrix classification performance machine learning |
| title | Comments on “MLCM: Multi-Label Confusion Matrix” |
| title_full | Comments on “MLCM: Multi-Label Confusion Matrix” |
| title_fullStr | Comments on “MLCM: Multi-Label Confusion Matrix” |
| title_full_unstemmed | Comments on “MLCM: Multi-Label Confusion Matrix” |
| title_short | Comments on “MLCM: Multi-Label Confusion Matrix” |
| title_sort | comments on x201c mlcm multi label confusion matrix x201d |
| topic | Multi-label classification confusion matrix classification performance machine learning |
| url | https://ieeexplore.ieee.org/document/10103535/ |
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