PREDICTING WINNERS OF THE BIG GAME
WITH WSO2 MACHINE LEARNER
Nirmal FernandoTeam Lead of WSO2 Machine Learner
What is the Big Game?
http://news.yahoo.com/american-football-broncos-reach-super-bowl-edging-patriots-010504321.html
What data do we have? - offensive strength
By Ben Stanfield (user name acaben) of flickr - http://www.flickr.com/photos/acaben/1307980635/in/set-72157601826753840/, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=2689957
What data do we have? - defensive strength
http://bigeasybeliever.com/2015/03/31/saints-may-target-all-american-linebacker-with-31st-pick/
How we picked the Machine Learning algorithm
Response variable: Winning probability (numerical value)
Dataset: Supervised
Algorithm Type: Numerical Prediction
AWS
WSO2 ML Predictive API
How we predicted game results
Big Game REST API
Team A, Team B
Team A, Team B
Team A = 0.67 Team B = 0.33
Team A = 67% Team B = 33%
Challenges we faced
● Domain knowledge
● Lack of data
● Impact from injuries
● Game day condition
etc..
Interested in getting started with your own predictions?
● Product download http://wso2.com/products/machine-learner/● Product documentation https://docs.wso2.
com/display/ML110/WSO2+Machine+Learner+Documentation● Upcoming webinars http://wso2.com/events/webinars/