Timeline for AUC for someone with no stats knowledge
Current License: CC BY-SA 4.0
8 events
when toggle format | what | by | license | comment | |
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Oct 14, 2021 at 19:51 | comment | added | Acccumulation | @MichaelLugo If your AUC is less than 0.5, then you should pursue the Constanza method. | |
Oct 14, 2021 at 0:00 | comment | added | Hasse1987 | @Aksakal The probabilistic interpretation is standard. It follows from a simple change of variable. | |
Oct 13, 2021 at 21:09 | comment | added | user215517 | @Aksakal Perhaps we're reading things differently, but from the question linked to: "The second [interpretation] is that the AUC of a classifier is equal to the probability that the classifier will rank a randomly chosen positive example higher than a randomly chosen negative example, i.e. P(score(x+)>score(x−))." which is what I was (hoping I was) saying above. "90% of the time" has a standard frequentist interpretation here. The answer that says "AUC is proportional to the number of correctly ordered pairs" is saying the same thing. The proportion of correctly ordered pairs is the AUC. | |
Oct 13, 2021 at 20:51 | comment | added | Aksakal | @user215517 the answer talks about AUC being proportional. Also when constructing ROC you run through all threshold, so the meaning of “90% of time” needs to be defined | |
Oct 13, 2021 at 20:44 | comment | added | user215517 | @Aksakal A proof, more complex than was asked for, of this relationship is given here | |
Oct 13, 2021 at 19:11 | comment | added | Aksakal | Are you sure you’re not talking about 1-specificity? AUC is difficult to pin to ratios and percentages | |
Oct 13, 2021 at 14:30 | comment | added | Michael Lugo | Came here to give this answer. Sure, it's an area under a curve, but you don't need to understand that curve to give this explanation. I'd only add that the scale of AUC is practically from 0.5 to 1 - if you can't even get a 50% chance then your model is worse than random guessing. | |
Oct 13, 2021 at 5:31 | history | answered | user215517 | CC BY-SA 4.0 |