Back to results
US 5,745,654 AGranted
Fast explanations of scored observations
AssigneeHNC Software, Inc.
InventorHari Titan
Life of this patent
Estimating the term…
Loading patent…
Loading patent…
AssigneeHNC Software, Inc.
InventorHari Titan
Estimating the term…
A system, method, and product provide rapid explanations for the scores determined by a neural network for new observations input into the neural network. The explanations are associated with a table of percentile bins for each of the input variables used to define the observation. The table contains for each input variable a number of percentile bins. Each percentile bin contains an expected score for values of the input variable containing with the percentile bin. The expected score in each percentile bin is determined from historical observation data. Preferably each percentile bin is associated with an explanation that describes the meaning of the value of the input variable falling within the percentile bin. During observation processing, a new observation is scored. The value of each input variable in the new observation is compared with the percentile bins for the input variable in the table. The expected score in the percentile bin that contains the value of the input variable is retrieved, and this is repeated for all input variables in the new observation. The explanation associated with the percentile bin that has an expected score closest to the actual score is retrieved and provided as the explanation of the most significant input variable accounting for score. Other explanations from the next closest expected scores may also be retrieved.
A computer system for providing explanations of scored values for observations, comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a score value for an output variable determined with respect to the values of the input variable, a computer implemented method of providing explanations for the score values for new observations, comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a score value for an output variable determined with respect to the values of the input variable, a computer implemented method of providing explanations for the score values for new observations, comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a score value for an output variable determined with respect to the values of the input variable, a computer implemented method of providing explanations for the score values for new observations, comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a score value for an output variable determined with respect to the values of the input variable, a computer readable memory storing a computer program therein for configuring a processor of the computer system to create a table of percentile bins associated with explanations for the input variables for providing explanations for the score values for new observations, the computer program configuring the processor to:
A computer readable memory, for use with a processor and a database storing a plurality of observations, each observation having a value for selected ones of a plurality of same input variables, and a score value for an output variable determined with respect to the values of the input variable;
A computer system for identifying at least one input variable significantly contributing to a score value for an individual observation, the system comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a score value for an output variable determined with respect to the values of the input variable, a computer implemented method of identifying at least one input variable that significantly contributes to the score value for a new observation, comprising:
A computer implemented method of identifying an input variable that significantly contributes to a score value of an observation, comprising:
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a neural network score value for an output variable determined with respect to the values of the input variable, a computer implemented method of providing explanations for the neural network score values for new observations, comprising:
A computer readable memory, for use with a processor and a database storing a plurality of observations, each observation having a value for selected ones of a plurality of same input variables, and a neural network score value for an output variable determined with respect to the values of the input variable, the computer readable memory storing a computer program for configuring and controlling the processor to create a table of percentile bins associated with explanations for the input variables, for providing explanations for the neural network score values for new observations by performing the steps of:
A computer readable memory, for use with a processor and a database storing a plurality of observations, each observation having a value for selected ones of a plurality of same input variables, and a neural network score value for an output variable determined with respect to the values of the input variable;
In a computer system including a database storing a plurality of observations, each observation having a value for selected ones of a plurality of input variables, and a neural network score value for an output variable determined with respect to the values of the input variable, a computer implemented method of identifying at least one input variable that significantly contributes to the neural network score value for a new observation, comprising:
Dependencies are inferred from the claim text.