does anyone have an idea about how to evaluate multi-label classifiers? ie: when your label is not a single class but it can be multiple ones i have tried calculating the Jaccard index for each observation then summing all the values but i don't think that s a good metric.

  • $\begingroup$ A confusion matrix is a typical tool to understand the performance of multiclass classifiers. $\endgroup$
    – noe
    May 11 at 15:16


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