IEEE Access · 2023 · 23 citations · 5 references
Artificial IntelligenceMulti-label Confusion MatrixClassification MethodEngineeringMachine LearningData ScienceData MiningAutomatic ClassificationMultiple Instance LearningKnowledge Discovery“ MlcmIntelligent ClassificationComputer ScienceMulti-label Confusion-matrixConfusion MatrixSupervised Learning
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 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.
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Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.3K citations · Full text
MLCM: Multi-Label Confusion Matrix
Mohammadreza Heydarian, Thomas E. Doyle, Reza Samavi · IEEE Access · 2022 · 378 citations · Full text
Multi-label Classifier Performance Evaluation with Confusion Matrix
Damir Krstinić, Maja Braović, Ljiljana Šerić et al. · 2020 · 198 citations · Full text