Machine Learning 2017 NCAA Bracket Prediction Men’s Basketball

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We have developed a deep neural network to predict the NCAA men’s basketball bracket for 2017. In testing, the machine learning deep neural network was very accurate. The deep neural network predicted the last three seasons as follows: 2014 – 73% (46 games), 2015 – 79% (49 games) and 2016 with 73% (46 games). The system picked the champion 2 out of 3 years. We will be posting our bracket picks Tuesday the 14th. See our 2017 NCAA Bracket predicted with machine learning below.

The 2017 NCAA bracket result to date with the machine learning predictions:

The machine learning system is currently 18-1 in its 2017 NCAA bracket predictions as it picked all four play in games plus all the first round games on Thursday.

The system missed the Minnesota vs. Middle Tennessee game – it predicted Minnesota would win by a 52.6% probability.

For the play in games, our machine learning system predicts that:

Kansas State will beat Wake Forest with a 54% probability.

(Final Score K-State 95 – Wake Forest 85)

Mount St. Mary’s beats New Orleans 50.58% probability

(Final Score Mt. St Mary’s 67 – New Orleans 66)

UC Davis beats NC Central 69%.

(Final Score UC Davis 67 – NC Central 63)

USC beats Providence 54% probability.

(Final Score USC 75 – Providence 71)

See Larger 2017 NCAA Bracket Predictions Machine Leanring

2017 NCAA Bracket Machine Learning Predictions

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