Comprehensible Credit Scoring Models Using Rule Extraction from Support Vector Machines

This paper provides an overview of the recently proposed rule extraction techniques for SVMs and introduces two others taken from the artificial neural networks domain, being Trepan and G-REX, which rank at the top of comprehensible classification techniques.