This is an AutoGluon Tabular AutoML implementation on a tabular dataset recording NFl reciever performance statistics. The model predicts whether a given reciever is "Elite" (1) or Not (0)
The model was trained on the augmented split of the "james-kramer/receiverstats" dataset. The data includes features such as target, receptions, recieving yards, and more and classifies the aggregation of these features as being elite or not.
The model achieved an accuracy of 0.9333 and a weighted F1 score of 0.9343 on the original dataset.
Myles Robinson (Carnegie Mellon Univerity)-
mylesr@andrew.cmu.edu
