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This paper presents a genetic programming (GP) approach to extract symbolic rules from data sets with continuous-valued classes, called GPMCC. The GPMCC makes use of a genetic algorithm (GA) to evolve multi-variate non-linear models [Potgieter, G., & Engelbrecht, A. (2007). Genetic algorithms for the structural optimisation of learned polynomial expressions. Applied Mathematics and Computation]...