This is an AutoGluon Tabular AutoML implementation on a tabular dataset recording images of playing cards where the target variables indicate whether or not the card is a face or number card.
The model was trained on the augmented split of the "aedupuga/cards-image-dataset" dataset. The data includes images of playing cards where the target variable indicates whether the given card is a face card or not.
The model achieved an accuracy of 1.00 and a weighted F1 score of 1.00 on the original dataset.
Myles Robinson (Carnegie Mellon Univerity)-
mylesr@andrew.cmu.edu
