FINANCIAL PRODUCT APPLICATION PULL-THROUGH SYSTEM
First Claim
1. A method for evaluating a prediction set of financial product applications, the method comprising:
- defining, by a processing device, a prediction set comprising at least one present financial product application, wherein each financial product application comprises one or more corresponding variable values;
building, by the processing device, a multi-dimensional prediction grid comprising a plurality of prediction grid points, each prediction grid point corresponding to at least one present financial product application in the prediction set and each prediction grid point populated with one or more variable values of the at least one present financial product application; and
assigning, by the processing device, a prediction result value for each prediction grid point based at least in part on an observation result value.
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Abstract
A method evaluates a prediction set of financial product applications. The method builds a multi-dimensional observation grid of observation grid points, each corresponding to at least one past financial product application in an observation set and each populated with the one or more variable values and the observation result value associated with the past financial product application. The method includes building a multi-dimensional prediction grid comprising a plurality of prediction grid points, each corresponding to a present financial product application in the prediction set and populated with one or more variable values of the present financial product application, each also corresponding to an observation grid point and assigning a prediction result value for each prediction grid point. In some embodiments, the method defines an observation set and a prediction set comprising a past and a present financial product application, respectively, each application including two or more corresponding variable values.
14 Citations
43 Claims
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1. A method for evaluating a prediction set of financial product applications, the method comprising:
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defining, by a processing device, a prediction set comprising at least one present financial product application, wherein each financial product application comprises one or more corresponding variable values; building, by the processing device, a multi-dimensional prediction grid comprising a plurality of prediction grid points, each prediction grid point corresponding to at least one present financial product application in the prediction set and each prediction grid point populated with one or more variable values of the at least one present financial product application; and assigning, by the processing device, a prediction result value for each prediction grid point based at least in part on an observation result value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for evaluating a prediction set of financial product applications, the system comprising:
a processing device configured for; defining a prediction set comprising at least one present financial product application, wherein each financial product application comprises one or more corresponding variable values; building a multi-dimensional prediction grid comprising a plurality of prediction grid points, each prediction grid point corresponding to at least one present financial product application in the prediction set and each prediction grid point populated with one or more variable values of the at least one present financial product application; and assigning a prediction result value for each prediction grid point based at least in part on an observation result value. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A computer program product comprising a non-transient computer-readable medium comprising instructions for evaluating a prediction set of financial product applications, the instructions comprising:
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instructions for defining a prediction set comprising at least one present financial product application, wherein each financial product application comprises one or more corresponding variable values; instructions for building a multi-dimensional prediction grid comprising a plurality of prediction grid points, each prediction grid point corresponding to at least one present financial product application in the prediction set and each prediction grid point populated with one or more variable values of the at least one present financial product application; and instructions for assigning a prediction result value for each prediction grid point based at least in part on an observation result value. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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43. A method for evaluating a prediction set of financial product applications, the method comprising:
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defining, by a processing device, an observation set comprising at least one past financial product application, wherein the past financial product application comprises one or more corresponding variable values and an observation result value; defining, by the processing device, a prediction set comprising at least one present financial product application, wherein each financial product application comprises one or more corresponding variable values; building, by the processing device, a multi-dimensional observation grid comprising a plurality of observation grid points, each observation grid point corresponding to at least one past financial product application in the observation set and each observation grid point populated with the one or more variable values and the observation result value associated with the at least one past financial product application; building, by the processing device, a multi-dimensional prediction grid comprising a plurality of prediction grid points, each prediction grid point corresponding to at least one present financial product application in the prediction set and each prediction grid point populated with one or more variable values of the at least one present financial product application, each of the prediction grid points also corresponding to an observation grid point of the observation grid; and assigning, by the processing device, a prediction result value for each prediction grid point based at least in part on the observation result value populated in the observation grid point corresponding with the prediction grid point.
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Specification