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. You can set a separate classification
threshold for the flow in each language enabled for the agent.
[[["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 2025-08-04 UTC."],[[["The latest version of the `NluSettings` class in the Dialogflow v3 API is 2.23.0, and there are numerous prior versions available ranging from 2.22.0 to 1.0.0."],["The `NluSettings` class is part of the `Google.Cloud.Dialogflow.Cx.V3` namespace, found in the `Google.Cloud.Dialogflow.Cx.V3.dll` assembly, and is used to configure settings related to Natural Language Understanding (NLU)."],["The `NluSettings` class implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["Key properties of `NluSettings` include `ClassificationThreshold`, which tunes the machine learning classification threshold, `ModelTrainingMode`, which dictates the NLU model training mode, and `ModelType`, which specifies the type of NLU model."],["The `NluSettings` class provides two constructors, one empty and one allowing for the creation of a new object based off of another `NluSettings` object."]]],[]]
