Issue while using Auc metric on imbalanced dataset like melanoma(ValueError: Only one class present in y_true. ROC AUC score is not defined in that case)

[IamSantoshKumar]

this problem occur due to running metric calculation

I got the solution from stackoverflow:

You cannot have an ROC curve without both positive and negative examples in your dataset. With only one class in the dataset, you cannot measure your false-positive rate, and therefore cannot plot an ROC curve. This is why you get this error message.

How to handle this problem?

[abhishekkrthakur]

you need to handle it manually. if all match, return 1 else return 0.5

[IamSantoshKumar]

Fixed, thanks for the input @abhishekkrthakur