1. A process for underwriting an insurance application based on a plurality of previous insurance applications and their associated underwriting decisions, the process implemented using a computer readable medium and the process performed by a computer, the process comprising: creating, by the computer, 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, by the computer, a relevant set of MARS variables and parameters based on the plurality of previous insurance applications and their associated underwriting decisions; performing, by the computer, 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, by the computer, 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; outputting, by the computer, a classification assignment for the at least one new insurance application utilizing a validated parallel network; and performing processing on the classification assignment for the at least one new insurance application to generate an underwriting assessment of the at least one new insurance application.