1. A method for classifying providers based on a return rate of a provider, comprising the steps of: supplying a set of classifying models with a dataset, wherein the dataset comprises an identification of a provider and a plurality of available attributes corresponding to the provider; and determining whether a return rate of a provider is likely to satisfy a predetermined threshold, wherein the return rate is indicative of a rate at which refunds of a purchase price are requested, and wherein the determination of whether the return rate of the provider is likely to satisfy the predetermined threshold is made by: determining, based on the plurality of available attributes, a classifying model from the set of classifying models to utilize, wherein each classifying model of the set of classifying models is trained to utilize a set of determinative attributes, and wherein the determination of the classifying model comprises matching the plurality of available attributes to the classifying model requiring at least a subset of the available attributes as determinative attributes; identifying one or more patterns of available attributes that match one or more patterns found in the set of determinative attributes, wherein each of one or more patterns is indicative of a known return rate; and identifying which of two classes to assign the provider in accordance with the identified patterns, wherein a first class of the two classes is indicative of a determination that the return rate of the provider is likely to satisfy the redetermined threshold and a second class of the two classes is indicative of a determination that the return rate of the provider is not likely to satisfy the predetermined threshold.