Characterising and calibrating decision-aware proper scoring rules for classifier validation
Read the original at arxiv.org→arXiv:2611.03734v1 Announce Type: new Abstract: Training a classifier means letting a validation metric decide which model is kept and when training stops. A natural requirement on that metric is superiority: every...
Original headline: "Minimal Superior Penalties: Characterising and Calibrating Decision-Aware Proper Scoring Rules"
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- Nov 4, 05:00 UTC arXiv cs.LG lead source Minimal Superior Penalties: Characterising and Calibrating Decision-Aware Proper Scoring Rules