After learning a bit about decision tree algorithms, I decided to see if I can apply to this to gender tagging
Using this program, I was able to generate this decision tree:
body = male : pussy = present : penis = present : maleherm penis = absent/unknown : andromorph pussy = absent/unknown : male body = female : penis = present : pussy = present : herm pussy = absent/unknown : breasts = present/unknown : gynomorph breasts = absent : male (+ girly) penis = absent/unknown : female body = unknown : penis = present : pussy = present : herm pussy = absent/unknown : breasts = present : gynomorph breasts = absent/unknown : male penis = absent/unknown : breasts = present : female breasts = absent/unknown : pussy = present : female pussy = absent/unknown : ambiguous genderMaybe it could be useful for those having trouble correctly tagging genders?