Variable Importance & Feature Audit

Purpose

Variable Importance & Feature Audit is designed to independently re-calculate feature importance in order to confirm variable selection and assess stability for an insurance-related modeling use case.

Primary users

The primary user is not specified in the provided information.

Where it fits (process/stage/trigger)

This agent fits into a model review or audit process where input datasets, variable definitions, and model coefficients are available and variable selection needs to be independently checked.

Key capabilities / workflow

The workflow reviews the provided datasets and variable definitions, checks whether the required information is available, re-calculates feature importance, evaluates whether variable selection appears stable, and loops back for further coefficient review when stability is not confirmed.

Inputs

Typical inputs include input datasets, variable definitions, and model coefficients.

Outputs / Deliverables

Outputs are not specified in the provided information.

Value

The agent supports independent validation of feature importance, helping confirm whether selected variables are appropriate and stable within the provided insurance modeling context.