Using machine learning models to accelerate underwriting decisions is a major trend; however, there has not been an established industry best-standard practice for how to validate its use in underwriting. The joint-team worked together to develop a methodology to translate machine learning predictive output results into data-driven reference markets that are compatible with use by actuaries and underwriters.