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May 5, 2023 at 17:06 comment added Bernhard @Stef I do not understand either but in general it is not worth worrying about single down votes. Apparently it gives people the feeling of importance but multiple down votes are a worthwhile indication to reconisider one's answer. Thus, getting downvotes has it's upside. No worries.
May 4, 2023 at 16:17 comment added Stef @Katsu In particular, the answer to your question "Is the threshold simply where the "elbow" is?" is a hard no. I'm sure there are people, in real-life, who blindly place their thresholds at the elbow of their ROC-curve, but that is a terrible idea in general. You need to know and understand the context of application of your classifier, in order to determine the threshold. The ROC-curve is never enough.
May 4, 2023 at 15:59 comment added Stef Why was this answer downvoted? The question asked whether the ROC-curve can help determine the best threshold. This answer correctly states that no, a "best" threshold cannot be determined just by looking at the ROC-curve, since the choice of threshold is always going to be a compromise, and the most appropriate compromise depends heavily on the context of application of the classifier.
May 4, 2023 at 4:48 comment added Bernhard Each point on the curve represents a possible threshold and that thresholds characteristics. The value of the threshold is not displayed in the ROC, if that was the question.
May 4, 2023 at 4:45 comment added Katsu Yes my question was where specifically does the ROC visualize those possible thresholds. Only seeing TPR and FPR.
May 4, 2023 at 4:38 history edited Bernhard CC BY-SA 4.0
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May 4, 2023 at 4:38 comment added Dave It is not clear to me how this answers the question about where the threshold appears on the graph. Could you please clarify?
May 4, 2023 at 4:34 history answered Bernhard CC BY-SA 4.0