Unverified50% confidenceDecision RuleExact time
When the cost of a false negative is much higher than the cost of a false positive, the optimal threshold should be lowered so that the system is more inclined to block suspicious transactions.
1
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50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
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Related Claims
UnverifiedIn emergency dispatch scenarios, the cost of false negatives is far higher than that of false positives; therefore, system designs intentionally lower the decision threshold, a practice known in machine learning as asymmetric cost-sensitive learning.75% similarUnverifiedIf a low-cost model has insufficient reasoning capability, it leads to more retry rounds, and the hidden costs of accumulated failed retries may exceed those of a high-cost, high-efficiency solution (the paradox of "cheap models actually being more expensive").73% similarUnverifiedMaking the decision threshold a function of transaction amount and other risk factors means that the larger the transaction amount, the lower the risk score threshold required to trigger a block or challenge.72% similar
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