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DECNET/tests/fixtures/campaigns/slow_burn.expected.yaml

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