4 ms·
With Facebook profile photos you could detect sexual orientation with 81% probability for man and 74% for women... Hmmm... And with 91% / 83% probability when u
by pulse7 9y ago
With Facebook profile photos you could detect sexual orientation with 81% probability for man and 74% for women... Hmmm... And with 91% / 83% probability when using 5 photos/person in the learning process...
- BeniBoy 9y agoWell, I am not sure this is the case.. The metric seems to be the ability to tell apart pairs of straight and gay people. >Among men, the classification accuracy equaled AUC = .81 when provided with one image per person. This means that in 81% of randomly selected pairs—composed of one gay and one heterosexual man—gay men were correctly ranked as more likely to be gay. Pretty different from predicting one's sexual orientation.