  The H-measure is a classifier performance measure which takes into account
the context of application without requiring a rigid value of relative
misclassification costs to be set. Since its introduction in 2009 it has become
widely adopted. This paper answers various queries which users have raised
since its introduction, including questions about its interpretation, the
choice of a weighting function, whether it is strictly proper, and its
coherence, and relates the measure to other work.
