Task: Question Answering
Input (English): When evaluating classifiers it is common to use accuracy, precision and recall as well as Hamming loss.  It has been shown that when calculating precision and recall on multi-label classifiers, it can be advantageous to use micro averaged precision and recall BIBREF6 . The formulas for micro averaged precision are expressed as DISPLAYFORM0 DISPLAYFORM1 
 Question: what evaluation metrics are discussed?
Output (English): precision  recall  Hamming loss micro averaged precision and recall