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Delete HTTPS://en.wikipedia.org/wiki/Sensitivity_and_specificity

1 points by manthideaal 7y ago

manthideaal 7y ago
I can't understand why one would use P in such a way that P = TP + FN, this is going to be a real mess. Afortunately there is the following page in which they only use TP,FP, TN, FN that is true/false and positive/negative. So replace that page with https://en.wikipedia.org/wiki/Precision_and_recall https://en.wikipedia.org/wiki/Precision_and_recall or change notation. Please. P = TP + FN is something that I would never put on paper.
- gus_massa 7y ago
  It's not my area so I have to ask: 1) Is P=TP+FN the standard notation in the area? 2) Is that notation confusing to people outside the area? 3) How is TP+FP called in that area?
- thaumasiotes 7y ago
  What do you want to call the population of positives, if not P? What do you think the P in TP and FP refers to? Also, why are you creating a chat thread on Hacker News with a plea to delete a page on Wikipedia?
  - manthideaal 7y ago
    TP + FN means true positives plus false negatives, that is the number of deseased people. P should be the number of people that gives positive in the test, since TP means true positive in that sense. Also TP + FN = Prevalence of the desease, but using P for prevalence and for positive creates a lot of confusion in a wikipedia page to explain a concept. My plea is that I don't want people to get confused. On top of it there is a warning on that page of wikipedia: This article may be too technical for most readers to understand. I couldn't understand why they used that notation. So I ask to delete that page because is going to confuse people.
    - Tomte 7y ago
      That Wikipedia page has a corresponding "Talk" page. Go discuss it there.
    - thaumasiotes 7y ago
      > Also TP + FN = Prevalence of the d[i]sease, but using P for prevalence and for positive creates a lot of confusion Nobody's using P for prevalence. It's being used for positive. Take a look at the table. > that is the number of d[i]seased people Yes, that is what "positive" means. (In the context of a test for disease.)

1 points by manthideaal 7y ago

I can't understand why one would use P in such a way that P = TP + FN, this is going to be a real mess. Afortunately there is the following page in which they only use TP,FP, TN, FN that is true/false and positive/negative. So replace that page with https://en.wikipedia.org/wiki/Precision_and_recall https://en.wikipedia.org/wiki/Precision_and_recall or change notation. Please. P = TP + FN is something that I would never put on paper.

gus_massa 7y ago
It's not my area so I have to ask: 1) Is P=TP+FN the standard notation in the area? 2) Is that notation confusing to people outside the area? 3) How is TP+FP called in that area?
thaumasiotes 7y ago
What do you want to call the population of positives, if not P? What do you think the P in TP and FP refers to? Also, why are you creating a chat thread on Hacker News with a plea to delete a page on Wikipedia?
- manthideaal 7y ago
  TP + FN means true positives plus false negatives, that is the number of deseased people. P should be the number of people that gives positive in the test, since TP means true positive in that sense. Also TP + FN = Prevalence of the desease, but using P for prevalence and for positive creates a lot of confusion in a wikipedia page to explain a concept. My plea is that I don't want people to get confused. On top of it there is a warning on that page of wikipedia: This article may be too technical for most readers to understand. I couldn't understand why they used that notation. So I ask to delete that page because is going to confuse people.
  - Tomte 7y ago
    That Wikipedia page has a corresponding "Talk" page. Go discuss it there.
  - thaumasiotes 7y ago
    > Also TP + FN = Prevalence of the d[i]sease, but using P for prevalence and for positive creates a lot of confusion Nobody's using P for prevalence. It's being used for positive. Take a look at the table. > that is the number of d[i]seased people Yes, that is what "positive" means. (In the context of a test for disease.)