MLCM: Multi-Label Confusion Matrix
Concise and unambiguous assessment of a machine learning algorithm is key to classifier design and performance improvement.In the multi-class classification task, where each instance can only be labeled as one class, the confusion matrix is a powerful tool for performance assessment by quantifying the classification overlap.However, in the multi-la