Method and System for Predicting and Indexing Probability of Financial Stress
AssigneeADP, Inc.
InventorsKurt Newman, Debashis Ghosh, Ramsay Cole
Life of this patent
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Abstract
A method, computer system, and computer program product that aggregates data regarding a plurality of factors correlated with income; performs iterative analysis on the data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted income values for a selected range of housing costs; converts the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress; and rank orders the people within the selected group according to their indices of financial stress.
Claims22
A computer-implemented method for predictive modeling, the method comprising:
- aggregating, by one or more processors, sample data regarding a plurality of factors correlated with income;
- performing, by one or more processors, iterative analysis on the data using machine learning to construct a predictive model;
- populating, by one or more processors using the predictive model, a database with predicted income values for a selected range of housing costs;
- converting, by one or more processors, the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress;
- and
- rank ordering, by one or more processors, the people within the selected group according to their indices of financial stress.
A machine learning predictive modeling system, comprising:
- a computer system;
- one or more processors running on the computer system, wherein the one or more processors aggregate sample data regarding a plurality of factors correlated with income;
- perform iterative analysis on the data using machine learning to construct a predictive model;
- populate, using the predictive model, a database with predicted income values for a selected range of housing costs;
- convert the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress;
- and rank order the people within the selected group according to their indices of financial stress.
A computer program product for machine learning predictive modeling, the computer program product comprising:
- a persistent computer-readable storage media;
- first program code, stored on the computer-readable storage media, for aggregating sample data regarding a plurality of factors correlated with income;
- second program code, stored on the computer-readable storage media, for performing iterative analysis on the data using machine learning to construct a predictive model;
- third program code, stored on the computer-readable storage media, for populating, using the predictive model, a database with predicted income values for a selected range of housing costs;
- fourth program code, stored on the computer-readable storage media, for converting the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress;
- and
- fifth program code, stored on the computer-readable storage media, for rank ordering the people within the selected group according to their indices of financial stress.
Dependencies are inferred from the claim text.