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A comment on How and When to Use ROC Curves and Precision-Recall Curves for Classification.

Re:How and When to Use ROC Curves and Precision-Recall Curve... by itsmejeff on Saturday September 01, 2018 @12:52AM (#17890287)
He calls it a "relative operating characteristic curve", then links to a Wikipedia article for the properly named "receiver operating characteristic curve". Maybe I'm wrong but I've never heard the former term used.
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Re:How and When to Use ROC Curves and Precision-Recall Curve... by salty_biscuits on Saturday September 01, 2018 @03:46AM (#17890786)
It's receiver. I believe it came about from operators looking radar receivers and fiddling with the gain. Low gain, nothing is a target, high gain everything is a target.
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Re:How and When to Use ROC Curves and Precision-Recall Curve... by smittywerben on Saturday September 01, 2018 @08:47AM (#17891592)
I like your interpretation as filter/signal logic.
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Re:How and When to Use ROC Curves and Precision-Recall Curve... by hprotagonist on Saturday September 01, 2018 @10:06AM (#17891888)
it’s the first way we began thinking about ROC. My understanding agrees with the GP: this was a norbert wiener- era application of binary classifiers for “is there a submarine there, or not?” tasks.

ROC was next adopted by the psychophysics community. “Did you hear that tone, or not” is a pretty easy extension of the original task...and involved many of the same researchers after the war was over.

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Re:How and When to Use ROC Curves and Precision-Recall Curve... by jasonb05 on Saturday September 01, 2018 @03:53PM (#17893627)
Fixed, thanks.
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Re:How and When to Use ROC Curves and Precision-Recall Curve... by DataJunkie on Saturday September 01, 2018 @01:31AM (#17890411)
Me neither.
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