Pollice, Gary F
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.
Worcester Polytechnic Institute
Electrical and Computer Engineering
Major Qualifying Project
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