MLCM: Multi-Label Confusion Matrix
Concise and unambiguous assessment of a machine learning algorithm is key to classifier design and performance improvement. In the <italic>multi-class</italic> classification task, where each instance can only be labeled as one class, the confusion matrix is a powerful tool for performan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9711932/ |