func TestRetrievalRecallGate(t *testing.T)

gh-eq-286295651bdfabc1source-comment-equation

meanNDCG@10 >= 0.6: nDCG rewards ranking the relevant ids high, not merely present. 0.6 is a conservative

Read the equation

This relation defines meanNDCG@10 >= 0.6: nDCG rewards ranking the relevant ids high, not merely present. 0.6 is in the source section “func TestRetrievalRecallGate(t *testing.T)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

Read meanNDCG@10 >= 0.6: nDCG rewards ranking the relevant ids high, not merely present. 0.6 is as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage

		t.Fatalf("REGRESSION: mean recall@10 = %.3f is below the 0.8 floor; the hybrid search is no longer recalling the relevant candidates", meanRecall10)
	}
	// meanMRR >= 0.5: a healthy search puts a relevant candidate in the top two on average (rank one is 1.0,
	// rank two is 0.5), so 0.5 is a conservative floor on first relevant rank that a ranking regression breaks.
	if meanMRR < 0.5 {
		t.Fatalf("REGRESSION: mean MRR = %.3f is below the 0.5 floor; the first relevant candidate is ranking too deep", meanMRR)
	}
	// meanNDCG@10 >= 0.6: nDCG rewards ranking the relevant ids high, not merely present. 0.6 is a conservative
	// floor that a correct ordering clears while a fusion or ranking regression that buries relevant ids breaks.
	if meanNDCG10 < 0.6 {
		t.Fatalf("REGRESSION: mean nDCG@10 = %.3f is below the 0.6 floor; relevant candidates are ranking too low in the fused order", meanNDCG10)
	}
	// recall@5 is logged as a baseline and sanity checked but not floored as tightly, since a five deep cutoff
	// over a twelve candidate pool is the harder bar; it must still recall a clear majority on average.
	if meanRecall5 < 0.6 {
		t.Fatalf("REGRESSION: mean recall@5 = %.3f is below the 0.6 floor; the top five no longer surfaces the relevant candidates", meanRecall5)
	}

Exact original notation

meanNDCG@10 >= 0.6: nDCG rewards ranking the relevant ids high, not merely present. 0.6 is a conservative