Precision/recall for multiclass-multilabel classification

Question

I\'m wondering how to calculate precision and recall measures for multiclass multilabel classification, i.e. classification where there are more than two labels, and where e

Answer 1

The answer is that you have to compute precision and recall for each class, then average them together. E.g. if you classes A, B, and C, then your precision is:

(precision(A) + precision(B) + precision(C)) / 3

Same for recall.

I'm no expert, but this is what I have determined based on the following sources:

https://list.scms.waikato.ac.nz/pipermail/wekalist/2011-March/051575.html http://stats.stackexchange.com/questions/21551/how-to-compute-precision-recall-for-multiclass-multilabel-classification