machine-learning video for you are a data scientist at an insurance company developing a machine learning model to predict the likelihood of claims being
You are a data scientist at an insurance company developing a machine learning model to predict the likelihood of claims being fraudulent. The company has a strong commitment to fairness and wants to ensure that the model does not disproportionately affect any specific demographic group. You decide to use Amazon SageMaker Clarify to assess potential bias in your model. In particular, you are interested in understanding how the models predictions differ across demographic groups when conditioned on relevant factors like income level, which could influence the likelihood of fraudulent claims. Given this scenario, which of the following BEST describes how Conditional Demographic Disparity (CDD) can be used to assess and mitigate bias in your model?