Evaluation metric for imbalanced data

Question

Hi I'm a CS graduate student

I have a question for AI or data experts. I'm writing a paper

My dataset is time-series sensor data and anomaly (positive class) ratio is between 5% and 6%

you can see the picture below. I used classification_report in sklearn library

But, I'm confused as to what value to report in my evaluation section ...

I think it is reasonable to report f1-score with macro avg (0.40)

Is it ok?

Thank you for your explanation !