Patent Document ID: 10083263
Application ID: 15722143

Base Claim:
1. A method comprising: accessing, from at least one database, data from a plurality of disparate data sources; automatically building, using the data obtained from the accessed data sources, a first test model and a second test model, the first test model and the second test model having predetermined predictive variables and the first test model and the second test model built from one or more of the plurality of disparate data sources; determining a set of predictive variables from the predetermined predictive variables in the first test model and the second test model by comparing a predictive power of the predictive variables of the first test model and the second test model, the set of predictive variables being a subset of the predetermined predictive variables; generating a dataset comprising data selected from the disparate data sources and corresponding to the determined set of predictive variables; and building, from the dataset, a model that combines the set of predictive variables, the model characterizing a quantitative estimate of a probability that an entity will display a defined behavior.

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Claim 2:
2. The method of claim 1 , further comprising iteratively building test models and determining an interim set of predictive variables until the test models or the interim set of predictive variables satisfy a predetermined criterion.