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[-] stray@pawb.social 7 points 1 week ago

with an impressive 99.26% accuracy.

I feel this would be a blatant lie if it included a bunch of false positives.

https://mander.xyz/comment/17810389

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.)

[-] iii@mander.xyz 3 points 1 week ago* (last edited 1 week ago)

I'm not educated enough to know what recall means in this context

This wiki describes the terminology for a binary classification. I always have to refer to that page too, as it's very confusing :)

[-] LeFrog@discuss.tchncs.de 2 points 1 week ago

Thx for the comment! I edited my post accordingly.

this post was submitted on 23 Mar 2025
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