Date of Last Revision

2023-05-03 05:09:02



Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2018


The purpose of this Senior Honors Project is to research, study, and demonstrate newfound knowledge of various machine learning statistical techniques that are not covered in the University of Akron’s statistics major curriculum. This report will be an overview of three machine-learning methods that were used to predict NCAA Basketball results, specifically, the March Madness tournament. The variables used for these methods, models, and tests will include numerous variables kept throughout the season for each team, along with a couple variables that are used by the selection committee when tournament teams are being picked. The end goal is to find out which machine learning method populates the most successful bracket by using key differential statistics between teams and variables of past tournament winners using Neural Network, Boosted Decision Trees, and Naïve Bayes methodologies.

Research Sponsor

Dr. Richard Einsporn

First Reader

Dr. Nao Mimoto

Second Reader

Dr. Curtis Clemons



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.