Predicting winners of the big game with wso2 machine learner

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

Why were we interested in it?“Here's a crazy idea...a really crazy idea in fact…”

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/

What type of a model do we build?

Winning probability

How we gathered the data

How we picked the Machine Learning algorithm

Response variable: Winning probability (numerical value)

Dataset: Supervised

Algorithm Type: Numerical Prediction

Algorithms supported by WSO2 Machine Learner

What we picked

The model we built

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%

The final results

http://wso2.com/landing/big-data-game/

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/

Thank You!