What conference realignment options does machine learning offer Syracuse?

While we’re just over a week from kickoff, there’s still plenty of offseason content out there to mine.

One of those articles came across TNIAAM’s desk on Tuesday, courtesy of r/CFB: Using machine learning to realign college football conferences.

As the author, Max Kaplan, explains, he uses machine learning to determine “geographic rationality” for college football leagues. In this case, K-means clustering groups teams into similarly-sized nearby regions. The groups range from 16 conferences all the way down to four super leagues.

It’s definitely worth checking out the site for all of the breakdowns.