Table 1. Accuracy, loss and F1-score and Area Under the Curve (AUC) for the CNN models (the two most successful transfer learning methods) applied to the lion-hyena tooth score marks testing set.

Model	Accuracy	Loss	F1 macro avg	AUC
ResNet50	95.56	0.116	0.95	0.939
VGG19	88.41	0.294	0.87	0.903