Question

An auditing model is an example of a ______ bias mitigation method

A: Sub-processing
B: Pre-processing
C: Post-processing
D: In-processing

Answer 1

An auditing model is a post-processing bias mitigation method used in machine learning to adjust outputs for fairer results.

Step-by-step explanation:

An auditing model is an example of a post-processing bias mitigation method. In the context of machine learning, post-processing methods are applied after a model has been trained. These techniques aim to adjust the output of the model to ensure fairer results, for example by altering the decision threshold for different subgroups to compensate for biases that were learned during the training process.