Model evaluation for multi class image classification

Hi, i want to ask what metric can be used to evalutate my CNN model for multi class, i have 3 classes for now and i’m just using accuracy and confussion matrix also plot the loss of model, is there any metric can be used to evaluate my model performance?

You can use ROC-AUC curve to test your model performance.It is a really good way to test your model’s performance.

is ROC-AUC can be implemented for multiclass? as far i know it’s just for binary classification