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Modelers Prove Mastery in Predictive Analytics Challenge

Insurers could learn a thing or two about handling bodily injury claims from the winners of Allstate's predictive modeling competition.

By Staff Writer | Updated on November 01, 2011

After a three-month long crowd sourcing competition, three data scientists proved their data analytical prowess in Allstate’s predictive modeling competition. The nation’s largest publicly held insurer launched the “Claim Prediction Challenge” with Kaggle on July 13, 2011, offering $10,000 to number crunchers worldwide for the best models predicting bodily injury insurance claims based on vehicle characteristics.

Contestants continued to submit algorithms down to the competition’s closing minutes on October 12. From 1,290 total submissions and 202 players, three winners emerged,  with their models closest to predicting actual claims data. Taking home the first-place prize was Matthew Carle of Sydney, Australia, followed by Owen Zhang of Bolton, Conn., USA (second place) and Jason Tigg of London, U.K. (third).

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