The goal was to predict who is most likely to donate to a charity. Contestants were evaluated on the accuracy on the validation data set. 45 teams participated.
Winners were:
Shared 1-2 place: Charles Elkan (UCSD) with BNB software; and Urban Science Applications, Inc. with their software Gain, Direct Marketing Selection System.