Author version made available in accordance with the publisher's policy. "The final publication is available at link.springer.com”The issue of chance correction has been discussed for many decades in the context of
statistics, psychology and machine learning, with multiple measures being shown to
have desirable properties, including various definitions of Kappa or Correlation, and
the psychologically validated ΔP measures. In this paper, we discuss the relationships
between these measures, showing that they form part of a single family of measures,
and that using an appropriate measure can positively impact learning
