public float ClassificationThreshold { get; set; }
To filter out false positive results and still get variety in matched
natural language inputs for your agent, you can tune the machine learning
classification threshold. If the returned score value is less than the
threshold value, then a no-match event will be triggered. The score values
range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
to 0.0, the default of 0.3 is used.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThis webpage provides reference documentation for the \u003ccode\u003eNluSettings\u003c/code\u003e class within the Google Cloud Dialogflow CX v3 API, spanning multiple versions.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version documented is 2.23.0, but it also includes a list of versions going back to 1.0.0, enabling users to access information on older releases.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eNluSettings\u003c/code\u003e is used to configure settings related to Natural Language Understanding (NLU) within the Dialogflow CX platform, such as classification threshold, model training mode, and model type.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eNluSettings\u003c/code\u003e class implements several interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, indicating its role within the Protocol Buffers ecosystem.\u003c/p\u003e\n"],["\u003cp\u003eKey properties for \u003ccode\u003eNluSettings\u003c/code\u003e include \u003ccode\u003eClassificationThreshold\u003c/code\u003e, which allows tuning of machine learning classification sensitivity, and \u003ccode\u003eModelTrainingMode\u003c/code\u003e and \u003ccode\u003eModelType\u003c/code\u003e, which specify how the NLU model is trained and its type.\u003c/p\u003e\n"]]],[],null,[]]
