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 !