The latter two also represent a measure for similarity of paired data.
all measures will be briefly described in the following: Unweighted average Recall The Unweighted average Recall (UaR) is defined as the sum of all class-wise recalls r c divided by the number of classes |C|: Recall r c for class c is defined as where δ is the Kronecker-delta, h i and r i represent the corresponding hypothesis-referencepair of rating i, and |R c | the total number of all ratings of class c. UaR for multi-class classification problems is the accuracy corrected by the effects of unbalanced data.