Submissions are evaluated based on [Accuracy Score](https://medium.com/@niitwork0921/what-is-an-accuracy-score-and-how-to-check-it-13b23eeed6a3), which measures the percentage of correctly classified Pokémon images. Accuracy is calculated as the ratio of correctly predicted labels to the total number of predictions made by the model.