Towards a patient rule induction method based classifier

This paper is an overview of the bump hunting algorithm and in particular the Patient Rule Induction Method and its applications. We also give an overview about interpretability in several key supervised data mining algorithms. This allows for exploring the potential for using PRIM, with its interpretation capability, as a core technology towards building a highly accurate and interpretable classifier in a mixed data space.