Question

If you know one group is misrepresented in merit by training data, one way to ensure fairness is to

A: Delete that group's data from the dataset
B: Protect a different group
C: Create a separate threshold for that group
D: Reboot the training data

Answer 1

To ensure fairness when one group is misrepresented in merit by training data, a way to address this is by creating a separate threshold for that group.

Step-by-step explanation:

If you know one group is misrepresented in merit by training data, one way to ensure fairness is to create a separate threshold for that group. By setting a different threshold for the group that is being misrepresented, you can help ensure that they are not unfairly disadvantaged. This approach allows for individualized consideration for each group and helps address any biases or misrepresentation.