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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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 namespace, detailing its properties and usage in different versions.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version available for this class is 2.23.0, and the page provides links to documentation for versions ranging from 1.0.0 to 2.23.0, showing its historical releases.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eNluSettings\u003c/code\u003e class, which is related to NLU settings, includes properties such as \u003ccode\u003eClassificationThreshold\u003c/code\u003e, \u003ccode\u003eModelTrainingMode\u003c/code\u003e, and \u003ccode\u003eModelType\u003c/code\u003e, and this class implements several interfaces, such as \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eClassificationThreshold\u003c/code\u003e property is used to tune the machine learning classification threshold, with values ranging from 0.0 to 1.0, and a default value of 0.3.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eModelTrainingMode\u003c/code\u003e and \u003ccode\u003eModelType\u003c/code\u003e properties of the \u003ccode\u003eNluSettings\u003c/code\u003e class allow developers to specify the NLU model training mode and the type of NLU model used.\u003c/p\u003e\n"]]],[],null,[]]
