Method and System for Take Home Pay Prediction and Indexing
AssigneeADP, Inc.
InventorsKurt Newman, Debashis Ghosh, Robert Wohlers
Life of this patent
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Abstract
A method, computer system, and computer program product that aggregates sample payroll data regarding a plurality of factors associated with take home pay; performs iterative analysis on the data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of take home pay for selected populations; converts the predicted values take home pay in the database into percentages of observed values of take home pay for the selected populations over a specified time period to create indices of take home pay; and rank orders the selected populations according to their indices of take home pay.
Claims22
A computer-implemented method for predictive modeling, the method comprising:
- aggregating, by one or more processors, sample payroll data regarding a plurality of factors associated with take home pay;
- 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 values of take home pay for selected populations;
- converting, by one or more processors, the predicted values of take home pay in the database into percentages of observed values of take home pay for the selected populations over a specified time period to create indices of take home pay;
- and
- rank ordering, by one or more processors, the selected populations according to their indices of take home pay.
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 payroll data regarding a plurality of factors associated with take home pay;
- perform iterative analysis on the data using machine learning to construct a predictive model;
- populate, using the predictive model, a database with predicted values of take home pay for selected populations;
- convert the predicted values of take home pay in the database into percentages of observed values of take home pay for the selected populations over a specified time period to create indices of take home pay;
- and rank order the selected populations according to their indices of take home pay.
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 payroll data regarding a plurality of factors associated with take home pay;
- 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 a database with predicted values of take home pay for selected populations;
- fourth program code, stored on the computer-readable storage media, for converting the predicted values of take home pay in the database into percentages of observed values of take home pay for the selected populations over a specified time period to create indices of take home pay;
- and
- fifth program code, stored on the computer-readable storage media, for rank ordering the selected populations according to their indices of take home pay.
Dependencies are inferred from the claim text.