During test, some nodes fire higher than any training maximum or lower than any training minimum. Which coverage measure is that, and what caution should the tester remember?
Select an answer to reveal the explanation.
Short Explanation
Nodes that fire higher than any training maximum or lower than any training minimum are neuron boundary coverage: the share that went past the training min or max. Structural coverage is a complement, not a sufficiency proof of generalization.
Full Explanation
NBC is the share of neurons that fire outside the training min/max. Commercial tool support is limited, and coverage cannot by itself guarantee generalization or rule out spurious correlations. Neuron coverage, kMNC, and a sufficiency claim are the wrong reading.