Measure of classification performance that can accommodate expert knowledge regarding misclassification costs, whenever that is available.
The h-measure was originally proposed by D.J.Hand. It overcomes the problem of capturing performance across multiple potential scenaria. It also proposes a sensible criterion for coherence of performance metrics which several popular alternatives do not, including the Area Under the Curve (AUC) and its variants.