Unverified50% confidenceTradeoffExact time
The confidence threshold is a double-edged sword: lowering the threshold increases recall but decreases precision; raising the threshold increases precision but increases missed detections.
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Confidence
Long-term
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10/13/2026
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Related Claims
UnverifiedThe correct use of Confidence is to set a threshold below which the request is routed to a human or a fallback, rather than always taking the maximum value.77% similarUnverifiedSetting the confidence threshold is a risk-reward tradeoff: a threshold that is too high causes simple tickets to be routed back to humans, limiting efficiency gains, while a threshold that is too low causes error rates to climb on ambiguous cases; it is recommended to collect data via shadow mode and use ROC curve analysis to determine the threshold.75% similarVerifiedSetting the threshold for semantic caching involves a trade-off: a threshold that is too high results in a low hit rate, while one that is too low may incorrectly map semantically different questions and cause response quality issues.73% similarUnverified分层漏斗每一层输出置信度分数，当置信度低于预设阈值时请求才下沉到下一层；阈值过高导致请求不必要流向下层，阈值过低引发误识别71% similarUnverifiedThe key difficulty of data volume threshold control lies in threshold setting: too low causes frequent false positives, while too high may miss slow, sustained low-rate exfiltration.71% similar
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