Systems and processes for bias removal in a predictive performance model
AssigneeCangrade, Inc.
InventorsSteven Lehr, Gershon Goren, Liana Epstein
Life of this patent
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Abstract
A hardware processor can receive sets of input data describing assets associated with an entity. The hardware processor can receive inputs responsive to queries of a user. The hardware processor can individually generate predictive models based on a respective set of input data. The hardware processor can calculate predicted outcomes for the user by applying each of models to the inputs. The hardware processor can generate a user interface comprising the predictive outcomes for the user for each of the predictive models.
Claims20
A system comprising:
- a memory device;
- and
- at least one hardware processor coupled to the memory device, wherein the at least one hardware processor is configured to at least:
- receive a plurality of sets of input data individually describing a respective asset of a plurality of assets associated with an entity;
- receive a plurality of inputs responsive to a subset of a plurality of queries of a user;
- generate a plurality of predictive models individually generated based at least in part on a respective set of the plurality of sets of input data;
- calculate a plurality of predicted outcomes for the user by applying each of the plurality of predictive models to the plurality of inputs;
- and
- generate a user interface comprising the plurality of predictive outcomes for the user for each of the plurality of predictive models.
A process comprising:
- receiving, via at least one hardware processor, a plurality of sets of input data individually describing a respective asset of a plurality of assets associated with an entity;
- receiving, via the at least one hardware processor, a plurality of inputs responsive to a subset of a plurality of queries of a user;
- generating, via the at least one hardware processor, a plurality of predictive models individually generated based at least in part on a respective set of the plurality of sets of input data;
- calculating, via the at least one hardware processor, a plurality of predicted outcomes for the user by applying each of the plurality of predictive models to the plurality of inputs;
- and
- generating, via the at least one hardware processor, a list ranked according to the plurality of predictive outcomes for the user.
A non-transitory computer-readable medium embodying a program that, when executed by at least one hardware processor, causes the at least one hardware processor to:
- receive a plurality of sets of input data individually describing a respective asset of a plurality of assets associated with an entity;
- receive a plurality of inputs responsive to a subset of a plurality of queries of a user;
- generate a plurality of predictive models individually generated based at least in part on a respective set of the plurality of sets of input data;
- calculate a plurality of predicted outcomes for the user by applying each of the plurality of predictive models to the plurality of inputs;
- and
- generate a user interface comprising the plurality of predictive outcomes for the user for each of the plurality of predictive models.
Dependencies are inferred from the claim text.