Making Sense of the Mayhem: Machine Learning and March Madness
نویسندگان
چکیده
The goal of our research was to be able to accurately predict the outcome of every matchup in a March Madness bracket. This is an extraordinarily difficult problem because of the high amount of variance in college basketball and the sheer number of games that are played in the tournament. In the history of March Madness, no one has ever created a perfect bracket. Last year, Warren Buffett agreed to give $1 billion to anyone that submitted a perfect bracket to the Yahoo Bracket Challenge and $20,000 to the top 20 best performing brackets. It only took 25 games for the last perfect bracket in the challenge to be eliminated. We wanted to see how a well formulated machine learning model and algorithm would perform on this problem compared with the success of humangenerated brackets. Our model hoped to produce the highest performing bracket as defined by the Yahoo Bracket Challenge.
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