Closed SamShin closed 1 year ago
Disclaimer: I am a regular fastLink
user, not a fastLink
developer.
You can use the function confusion()
to find the precision and recall. I provided an example in https://github.com/kosukeimai/fastLink/issues/63#issuecomment-1255559880.
Precision = Positive Predictive Value = True Positives / Links = TP / (TP + FP). Recall = Sensitivity = True Positives / Matches = TP / (TP + FN).
Thank you so much for the amazing example! This is exactly what I needed.
Hi,
Thank you for writing such an amazing package. I am trying to calculate the precision and recall and so I am trying to use the confusion table. But since I want to use blocking methods, it seems like I would have to use aggconfusion to do so which is currently under development. Is there any other ways to find the precision and recall outside of manually calculating them?
Thanks in advance, Sam