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