Evaluation measures: Common LMTC evaluation measures are precision (P @K) and recall (R@K) at the top K predicted labels, averaged over test documents, micro-averaged F1 over all labels, and nDCG@K (Manning et al., 2009).
p @K and R@K unfairly penalize methods when the gold labels of a document are fewer or more than K, respectively.