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Computer-implemented systems and methods for updating predictive models

  • US 8,214,308 B2
  • Filed: 05/13/2008
  • Issued: 07/03/2012
  • Est. Priority Date: 10/23/2007
  • Status: Active Grant
First Claim
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1. A computer-implemented method of assessing a predictive model, comprising:

  • accessing, using one or more data processors, a predictive model for scoring transactional data and data associated with a time period;

    generating, using the one or more data processors, one or more predictions using the predictive model and the data;

    calculating, using the one or more data processors, a baseline performance metric for the predictive model based upon the predictions;

    accessing, using the one or more data processors, new data associated with a new time period that is later than the time period;

    generating, using the one or more data processors, one or more new data predictions using the predictive model and the new data;

    calculating, using the one or more data processors, an updated performance metric for the predictive model based upon the new data predictions;

    comparing, using the one or more data processors, the baseline performance metric and the updated performance metric to determine an indication of predictive ability decay for the predictive model; and

    performing, using the one or more data processors, a corrective action for the predictive model when the indication of predictive ability decay reaches a threshold.

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