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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\udstatistics, psychology and machine learning, with multiple measures being shown to\udhave desirable properties, including various definitions of Kappa or Correlation, and\udthe psychologically validated ΔP measures. In this paper, we discuss the relationships\udbetween these measures, showing that they form part of a single family of measures,\udand that using an appropriate measure can positively impact learning

A Computationally and Cognitively Plausible Model of Supervised and Unsupervised Learning