PREDICTIVE MODELING IN A GAMING SYSTEM
First Claim
1. An apparatus, comprising:
- an input device for receiving input from a user regarding a desired predictive model type;
a logic system comprising at least one logic device and configured to do the following;
obtain observed casino patron data from a memory, the observed casino patron data relating to the desired predictive model type;
execute a plurality of predictive models of the desired predictive model type, based at least in part on the observed casino patron data;
evaluate predictive model results for each of the plurality of predictive models according to predetermined criteria; and
select predictive model results according to the predetermined criteria.
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Abstract
Methods and systems for performing comprehensive predictive analysis and modeling in a wager gaming environment are provided. Statistical calculations for deriving predictive values for a patron behavior in a casino or gaming environment may include various criteria, including but not limited to wager gaming activities, resort/hotel usage, dining/meals, non-gaming point of sale transactions, entertainment expenditures, coupon/prize redemption, “comps” provided, etc. In some implementations, a plurality of predictive models may be used. One or more criteria may be used to evaluate and/or rank the predictive models. For example, such an evaluation and/or ranking may be based, at least in part, on a correlation coefficient or a function thereof. In some such implementations, an evaluation and/or ranking may be based, at least in part, on a comparison of the coefficient of determination, R2, corresponding to each predictive model.
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Citations
24 Claims
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1. An apparatus, comprising:
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an input device for receiving input from a user regarding a desired predictive model type; a logic system comprising at least one logic device and configured to do the following; obtain observed casino patron data from a memory, the observed casino patron data relating to the desired predictive model type; execute a plurality of predictive models of the desired predictive model type, based at least in part on the observed casino patron data; evaluate predictive model results for each of the plurality of predictive models according to predetermined criteria; and select predictive model results according to the predetermined criteria. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method, comprising:
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receiving input from a user regarding a desired predictive model type; obtaining observed casino patron data relating to the desired predictive model type; executing a plurality of predictive models of the desired predictive model type, based at least in part on the observed casino patron data; evaluating predictive model results for each of the plurality of predictive models according to predetermined criteria; and selecting predictive model results according to the predetermined criteria. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method, comprising:
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receiving input from a user regarding a desired predictive model type, wherein the desired predictive model type pertains to an estimated theoretical value of a patron to a casino; obtaining observed casino patron data relating to the desired predictive model type; executing a plurality of predictive models of the desired predictive model type to produce predictive model results, based at least in part on the observed casino patron data; determining a coefficient of determination for each of the plurality of predictive models; producing an evaluation of the predictive model results according to the coefficient of determination for each of the plurality of predictive models; and selecting predictive model results according to the evaluation. - View Dependent Claims (22)
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23. An apparatus, comprising:
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means for receiving input from a user regarding a desired predictive model type, wherein the desired predictive model type pertains to an estimated theoretical value of a patron to a casino; means for obtaining observed casino patron data relating to the desired predictive model type; means for executing a plurality of predictive models of the desired predictive model type to produce predictive model results, based at least in part on the observed casino patron data; means for determining a coefficient of determination for each of the plurality of predictive models; means for producing an evaluation of the predictive model results, at least in part according to the coefficient of determination for each of the plurality of predictive models; and means for selecting predictive model results according to the evaluation. - View Dependent Claims (24)
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Specification