Comparing the Confusion
of Multi-Label Classifiers

Hello everyone! I will help you to compare the results of two different classifiers trained on the same multi-label dataset. This means you can find similarities and differences in the confusion to decide which classifier to use preferably, or to figure out how to combine these classifiers in ensemble learning methods. Do you want to bring your own files?


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