predicting winner of the big game with wso2 machine learner
TRANSCRIPT
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/