METHOD AND SYSTEM FOR DETERMINING THE IMPORTANCE OF INDIVIDUAL VARIABLES IN A STATISTICAL MODEL

Patent №

US 8,200,511

Granted

2012-06-12

Filed 2001

Owner

DELOITTE & TOUCHE LLP

Lab

AI components

2

planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09996065

A method and system for determining the importance of each of the variables that contribute to the overall score of a model for predicting the profitability of an insurance policy. For each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. Since the score is developed using complex mathematical calculations combining large numbers of parameters with predictive variables, it is often difficult to interpret from the mathematical formula for example, why some policyholders receive low scores while other receive high scores. Such clear communication and interpretation of insurance profitability scores is critical if they are used by the various interested insurance parties including policyholders, agents, underwriters, and regulators.

AI classification

Planning1.00
AI hardware1.00
Machine learning0.40
Knowledge representation0.06
Vision0.01
Natural language0.01
Speech0.00
Evolutionary computation0.00

Ownership

DELOITTE & TOUCHE LLP

assignment · 126680035

Assignors

ZIZZAMIA, FRANK M., WU, CHENG-SHENG PETER, STUKEL, RAYMOND E., ADAMOPOULOS, HRISANTHI

On an employer assignment, the assignors are typically the inventors.

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