Topic: calibration
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Label shift: detecting and correcting changing class proportions
Estimate changing class priors only under an explicit label-shift assumption, check identifiability and distinguish prior estimation from calibrated posterior correction.
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Temperature scaling: calibrating classifier confidence
Fit one positive temperature on held-out predictions to adjust softmax probabilities, preserve argmax labels and evaluate calibration separately from threshold-based decisions.
Machine-readable: JSON