The algorithms proved 88% accurate for determining malesexuality, 95% accurate in distinguishing African-American from Caucasian-American and 85% for differentiating Republican from Democrat.
It has the best luck categorizing people as Caucasian or African-American (95% accuracy), followed by gender, malesexuality, Democratic or Republican leanings, and detecting Christians and Muslims.
Stiaan Louw's androgynous, multi-layered collections explore malesexuality and the culture clash between social tribes, issues that intrigue him as an Afrikaan working in a fledgling democracy and equally fledgling men's fashion market.