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Clarify calibration tutorial loss ratio
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‎calibration/README.md‎

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@@ -8,8 +8,9 @@ the directory configured by `MONAI_DATA_DIRECTORY`.
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The notebook demonstrates MONAI's calibration metrics, low-level bin statistics, Ignite handler, and hard- and
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soft-binned L1 Average Calibration Error losses. It uses complete-volume train/validation/test cohorts and compares
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a segmentation baseline with one hard L1-ACE configuration chosen in validation-only preliminary experiments for
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its calibration improvement with minimal Dice reduction. The focused comparison discusses the associated
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publication's 1:1:1 objective, finite-bin estimates, and the limitations of auxiliary calibration training.
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its calibration improvement with minimal Dice reduction. The focused comparison uses a validation-selected
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Dice:CE:Hard-L1-ACE objective with an approximate ratio of 1:1:0.30. It also discusses the associated publication's
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1:1:1 objective, finite-bin estimates, and the limitations of auxiliary calibration training.
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For a one-epoch CI smoke test, run:
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