this post was submitted on 23 Mar 2025
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Futurology

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[–] LeFrog@discuss.tchncs.de 11 points 5 days ago* (last edited 5 days ago) (5 children)

I am able to identify 100% of cancer: just say "It is cancer" to each picture.

~~The article does not mention any other metrics than detection rate. What about recall etc.? Without it, this news is basically worthless.~~

I stand corrected, see the comments below. While the article still lacks important context, accuracy is well defined for this topic.

[–] stray@pawb.social 7 points 5 days ago (2 children)

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 5 days ago* (last edited 5 days 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 5 days ago

Thx for the comment! I edited my post accordingly.

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