I have 6 classes in my dataset and model. Dataset is regarding ECG signal
Having x number of records for each of these classes.
My question is, should I consider "Unreadable" records ( records which are not processed by model" while calculating Specificity, Sensitivity and positive predictivity.?
Any scientific evidence or paper link which consider "Unreadable" or noisy records in accuracy analaysis will help a lot.