1. A process for underwriting an insurance application based on a plurality of previous insurance applications and their associated underwriting decisions comprises: creating a plurality of binary classifiers based on a structured methodology of multivariate adaptive regression splines (“MARS”), where the plurality of binary classifiers are arranged in a parallel network; identifying a relevant set of MARS variables and parameters based on the plurality of previous insurance applications and their associated underwriting decisions; performing at least one cross-validation technique and at least one re-sampling technique on the plurality of previous insurance applications and their associated underwriting decisions; modifying the plurality of binary classifiers based on the performance of the at least one cross-validation technique and the at least one re-sampling technique; and utilizing the validated parallel network for outputting a classification assignment for the at least one new insurance application.