We also observe that each of the three One-versus-One binary classifications performs significantly better than chance, suggesting that Employee, Customer, and Turker are in fact three different classes.
the two-class classifier is around 0.76 accurate in distinguishing between Turker and Employee reviews, despite both kinds of reviews being deceptive opinion spam.