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Used (1) for discrete classification (if an instance's predicted probability exceeds a threshold, classify as TRUE, otherwise FALSE), or (2) for discretizing/binning continuous data. *If you are tempted to use this tag, PLEASE read the tag wiki!*

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How to choose threshold in probabilistic multi-label classification?

My problem is to tag some texts with some labels. That is multi-label classification in ML. I did predict with Catboost classifier and get some results of binary type. Now I am going to make predict …
drobnbobn's user avatar
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