So what is your task again? If it is a regression problem i.e. given 10 people, calculate probability of label being 1. Then basic binary classifier should do the trick. If the problem is maximizing probability of label being 1, that will be closer to reinforcement learning. Which you can go a few way of here but for me, I would implement using genetic algorithm