  The concordance probability or C-index is a popular measure to capture the
discriminatory ability of a regression model. In this article, the definition
of this measure is adapted to the specific needs of the frequency and severity
model, typically used during the technical pricing of a non-life insurance
product. Due to the typical large sample size of the frequency data in
particular, two different adaptations of the estimation procedure of the
concordance probability are presented. Note that the latter procedures can be
applied to all different versions of the concordance probability.
