The fact less people of that group actually wear it than do is significant when you want an average sample. When categorizing a collection of images then, naturally, the traditional garments of a group is associated more with that group than any other group: 1/6 is bigger than any other race.
5/6 not wearing them seems more statistically significant
The fact less people of that group actually wear it than do is significant when you want an average sample. When categorizing a collection of images then, naturally, the traditional garments of a group is associated more with that group than any other group: 1/6 is bigger than any other race.
so if there was a country where 1 in 6 people had blue skin you would consider that insignificant because 5 out of 6 didn’t?
For a caricature of the population? Yes, that’s not what the algorithm should be optimising for.
The algorithm is optimizing for results that are rated as precise, not just frequent.