This report, prepared for the Worcester Polytechnic Institute, describes the development of a running log application and the development and analysis of a data-centric approach to running performance prediction. The java application incorporated common UI principles as well as a community aspect to facilitate and encourage its use. The data-centric predictive model was developed by analyzing individuals who have performed similarly to the input. As tested with 1148 male track performances and 1265 female track performances, the data-centric approach provided predictions with an average error of 3.05 percent for men and 3.63 percent for women. These errors are approximately 9 percent and 20 percent lower, respectively, than the leading "Purdy Points" model.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• White, Alexander Lee

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-060107-132716

Advisor

• Pollice, Gary F.

Year

• 2007

Date created

• 2007-06-01

Location

• Worcester

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright

Last modified

• 2021-02-02