2 ms·
The degree to which it does this cannot be distinguished from random chance (p > 0.05). If the predictor were biased then you could build a more accurate score
by yummyfajitas 10y ago
The degree to which it does this cannot be distinguished from random chance (p > 0.05).
If the predictor were biased then you could build a more accurate score based on both the original scores and race_factorBlack:score_factorHigh (and other interaction terms). I.e. you'd be building a new bias in to cancel the old bias, leaving an accurate predictor.
Their analysis doesn't show that this is possible.
- TheCoelacanth 10y agop > 0.05 is the type of cutoff you would see to get published in a peer-reviewed paper. Such a high bar of evidence is not necessary in this situation. To prevail in a civil suit, a person harmed by this algorithm would only have to prove that is more likely than not that the algorithm is biased.