merge: testing → main (reconcile 2-week divergence)
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tests/fixtures/campaigns/slow_burn.expected.yaml
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tests/fixtures/campaigns/slow_burn.expected.yaml
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# Bounds for fixture 7 (slow_burn).
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#
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# Ground truth at campaign-level: 1 campaign of 3 observation rows
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# (one per operational window — recon, exploit, action). A correct
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# algorithm scores 1.0 across every metric on this fixture.
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#
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# Completeness is the load-bearing metric: a clusterer that lets
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# multi-week silence fragment the campaign tanks completeness (the
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# one true class is split across the operational windows). The
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# adversarial recency_decay_clusterer demonstrates this and the
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# bound below rejects it.
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#
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# Campaign-level fixture only — the three DSL actors model the
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# operator's three operational windows by design.
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#
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# Bounds are loose at v1; tighten as the algorithm matures.
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adjusted_rand_index:
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min: 1.0
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homogeneity:
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min: 1.0
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completeness:
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min: 1.0
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singleton_recall:
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min: 1.0
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