Sorry this was unclear. We meant "correctly predict the most friendships"
You get 1 point for each friendship that you correctly predict did or did not occur. In the test data set ~50% of pairs became friends, so predicting "everyone became friends" would get 250 points, whereas a perfect algorithm would get 500 points.
I'm updating the README now to make our scoring system more clear.
Comments
Sorry this was unclear. We meant "correctly predict the most friendships"
You get 1 point for each friendship that you correctly predict did or did not occur. In the test data set ~50% of pairs became friends, so predicting "everyone became friends" would get 250 points, whereas a perfect algorithm would get 500 points.
I'm updating the README now to make our scoring system more clear.