JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 227
Type: Contributed
Date/Time: Monday, August 4, 2014 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Sports
Abstract #313512
Title: The Perfect Bracket: Machine Learning in NCAA Basketball
Author(s): Sara Stoudt*+ and Loren Santana and Ben S. Baumer
Companies: Smith College and Smith College and Smith College
Keywords: sports ; basketball ; R ; machine learning ; ensemble method
Abstract:

Warren Buffett's 1 billion dollar prize for the perfect 2013 - 2014 NCAA bracket and Kaggle's March Machine Learning Madness competition increased the stakes of predicting this year's tournament results. Adding to the core data given by the Kaggle competition of team wins and loses since 1995 - 1996, we gather other team data to allow for more flexibility and options for modeling. We investigate different ensemble methods in R that contain strategies such as a modified PageRank algorithm, decision trees, neural networks, among others to predict probabilities of different match-ups and create a bracket for this season. We discuss strengths and weaknesses of our approach.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.