1.Which of the following are correct about Facets?
1 point
Facets was developed at Google and is one of the ways in which you can make machine learning models more inclusive
Both A and B
None of the above.
2.The things you incorrectly do not predict, things you exclude when instead it should have been included is called?
1 point
False negatives
False positives
True positives
None of the above
3.Which of the following help identify areas where a machine learning system could be more inclusive?
1 point
Confusion matrix
Evaluation metrics
Both A and B
None of the above
4.Which approach is followed to achieve a better performance across subgroups?
1 point
Equality of opportunity
Evaluation metrics
Confusion matrix
None of the above
5.Which of the following are the parts of Facets?
1 point
Overview
Dive
Both A and B
None of the above.
6.The confusion matrix helps which of the following?
1 point
Understanding inclusion and how to introduce inclusion across different subgroups within your data
Evaluating performance in machine learning
Both A and B
None of the above.
7.What do you call the things you incorrectly predicted, and the things you include that aren’t actually in the label and should have instead been excluded?
1 point
False negatives
False positives
True positives
None of the above
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