Artificial Neural Networks for the NFL Draft Trevor Berceau

Data College Statistics 12 Features Rushing & Receiving: Attempts, Yards, Average, Long, TD Combined: Fumbles, Fumbles Lost 12 Features Limit scope to 1 output (NFL 1-year Rushing Yards)

Challenges Missing data Outliers – immeasurable factors? Combine shown to be ineffective Will it perform comparable to humans?

Procedure Neural Network Function Approximation Unprocessed Data PCA via SVD Drop some inputs (receiving)?

Status Unprocessed data – performs miserably Processed features – perform better, will it be good enough? If successful, will be first tool capable of predicting a college football player’s performance with any accuracy