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OSGKeyboard/ModelTraining/ClipboardSemantics/baselines/2026-08-26-nine-model-v1/README.md
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2026-08-27 18:01:46 +08:00

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# Nine-model v1 baseline
This snapshot predates the second low-recall corpus expansion.
- Training corpus: 11,172 records
- Corrected development holdout: 640 records, zero exact training overlap
- Binary macro precision: 0.9492
- Binary macro recall: 0.5091
- Binary macro F1: 0.6374
- Runtime-gated sentiment macro F1: 0.6228
The holdout is a development benchmark, not a final blind release gate.
`ScheduleNegotiationIntentClassifier.mlmodel` is preserved here because it
outperformed the expanded-corpus replacement and remains the deployed model.