Fairness

What are the judging criteria for accuracy and fairness?

Round 1 is evaluating modeling accuracy & fairness using objective metrics based on the HOLDOUT file returned by the participants.

Accuracy: ROC/AUC measure will be calculated

Fairness: Disparity score calculated using RACE & SEX

Additional details will be provided in the Informational Call. Also, refer to the “Fairness in AI Guide” to see more details on the judging criteria.

Where can I find the Humana-Mays Healthcare Analytics Case Competition Fairness in AI Guide?

You can find the Humana-Mays Healthcare Analytics Case Competition Fairness in AI Guide here.

Can teams have a faculty advisor, or receive support from outside sources?

As stated in the Official Rules, coaching and mentoring from outside sources, other than your registered teammates, is not allowed.  These outside sources include but are not limited to, university faculty, university teaching assistants, university staff, or other professional consultants in related fields.

 

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