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Actual Outcome Credit ||Affiliation Age Score 1. Green 25 742 2. Red 34 815 3. Blue 28 590 4. Red ||43 1661 5. Green 52
Actual Outcome Credit ||Affiliation Age Score 1. Green 25 742 2. Red 34 815 3. Blue 28 590 4. Red ||43 1661 5. Green 52 563 6. Green 59 714 17. Red 127 617 8. Blue 168 868 9. Green 47 421 10. Blue 54 626 | 11. Red 71 589 12. Green 39 |472 13. Green 32 554 ||14. Blue 27 405 Predicted Outcome 0.64 0.82 10.55 0.69 0.62 0.79 10.57 0.91 0.22 0.59 0 0.44 0.37 10.49 10.17 You have been given the training data and real-valued outcomes of a model trained to predict loan repayment. An outcome of 1 means that the person successfully paid back their loan, where an outcome of O means that the person defaulted. The affiliation feature is a protected attribute. Given these data and results, which of the following is true? The thresholds {red=0.59, green=0.50, blue=0.57} achieve maximum accuracy The maximum accuracy solution also satisfies predictive parity The thresholds {red=0.77, green=0.44, blue=0.77} satisfy equal opportunity The thresholds {red=0.62, green=0.55, blue=0.67} satisfy equal opportunity
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