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"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["This webpage provides reference documentation for the `NluSettings` class within the Google.Cloud.Dialogflow.Cx.V3 namespace, spanning multiple versions of the API."],["The `NluSettings` class in the Dialogflow v3 API is used to configure settings related to Natural Language Understanding (NLU) in Dialogflow CX."],["Key properties of the `NluSettings` class include `ClassificationThreshold`, which tunes the machine learning threshold, and `ModelTrainingMode` and `ModelType`, which specify NLU model settings."],["The latest version of the API referenced on this page is version 2.23.0, and the class in question inherits from the object class, while implementing IMessage, IEquatable, IDeepCloneable, and IBufferMessage interfaces."],["The webpage also provides a list of all available versions of the NluSettings class, ranging from 1.0.0 to the latest 2.23.0."]]],[]]
