Test your Super Bowl picks with this new machine-learning prediction tool

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There’s been no end in sight to the advance of machine learning into the world of enterprise software, but this week a new online tool debuted for the purpose of sheer fun: predicting the winner of the Super Bowl.

Built on WSO2’s open-source Machine Learner technology for predictive data analysis, BigDataGame uses Apache Spark andrandom forest regression to compare teams and make predictions.

It will be Carolina v. New England in the big game, the tool predicts, and Carolina will have the edge with a 50.82 percent chance of winning. New England’s chance is 49.18 percent. In the meantime, anyone can put in their team picks for the playoffs and see what data science would predict for an outcome.

Read the source article at CIO.com