Table 3 Comparison of geometric semantic genetic programming (GS-GP) with other machine learning methods. A P-value less than α = 0.014 indicates that GS-GP is superior. LIN stands for linear regression, RBF for radial basis functions, ISO for isotonic regression, SVM-2 for support vector machines with polynomial kernel of degree 2, NN for neural networks, and RF for random forests.