While keeping the FPR low, our model keeps the TPR high, showing that it can accurately find real cases while reducing false alarms.
I’m not educated enough to know what recall means in this context, but there’s tables with percentages for it in the page. (Would love an explanation; I’m not sure what to search for to get the right definition.)
I feel this would be a blatant lie if it included a bunch of false positives.
https://mander.xyz/comment/17810389
I’m not educated enough to know what recall means in this context, but there’s tables with percentages for it in the page. (Would love an explanation; I’m not sure what to search for to get the right definition.)
This wiki describes the terminology for a binary classification. I always have to refer to that page too, as it’s very confusing :)
Thx for the comment! I edited my post accordingly.