# Transfer Stability Score (TSS)

The Transfer Stability Score measures how well a model generalizes stability reasoning across different regimes.

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# Definition

TSS = mean(F1_transfer)

Where F1_transfer represents F1 scores from cross-regime tests.

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# Interpretation

High TSS indicates that a model has learned general instability reasoning.

Low TSS suggests the model relies on dataset-specific correlations.

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# Relationship to CSS

CSS measures average performance across datasets.

TSS measures generalization between regimes.

Both metrics should be reported when evaluating models on the Clarus Clinical Stability Benchmark.