This contest, sponsored by professional services firm Deloitte, will find the most accurate system to predict chess outcomes, and FIDE will also bring a top finisher to Athens to present their system The datasets for this contest include real historical data provided by the world chess federation (FIDE). Contest participants will train their rating systems using a training dataset of over 1.84 million game results for more than 54,000 chess players across a recent eleven year period. Participants then use their method to predict the outcome of a further 100,000 games played among those same players during the following three months. Contest entries will be scored automatically by the website, based on the accuracy of their predictions. Two entries per day can be submitted by each team, and prizes will be determined according to each team's best-scoring single submission.
Read more at www.kaggle.com »