"when using his own dating-site-sourced dataset, was accurate at predicting the sexuality of males with 68 per cent accuracy – better than a coin flip"
But accuracy seems like a poor measure for something like this, when the population is highly unbalanced. It's trivial to create a classifier with high accuracy: just outputting 'heterosexual' every time would yield ~90% accuracy on faces of the general population.