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Rev

$\begingroup$ In this way, it is easily to get very low loss in training data. This makes it sound like good out-of-sample performance implies calibration, and I don't get the sense that this is the case. Could you please elaborate? $\endgroup$

Dave
– Dave

2023-09-14 20:43:27 +00:00
Commented Sep 14, 2023 at 20:43

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