To evaluate the conditional probability of an adverse outcome from a set of covariates, decision makers are often given a limited number of observations and, at times, are required to extrapolate outside the data range. To tackle the extrapolation problem they need to select plausible model(s) and account for various uncertainties in their predictions. In this paper I propose a framework that p...