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
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.