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 2025-04-09 UTC."],[[["This webpage provides reference documentation for the `NluSettings` class within the Google Cloud Dialogflow CX v3 API, specifically for the .NET environment."],["The `NluSettings` class, accessible through multiple versions ranging from 1.0.0 to the latest 2.23.0, allows users to manage settings related to Natural Language Understanding (NLU)."],["Key properties of the `NluSettings` class include `ClassificationThreshold` for tuning machine learning classification, `ModelTrainingMode` to set the NLU model training method, and `ModelType` to set the type of NLU model used."],["The page also details the inheritance and implemented interfaces of the `NluSettings` class, such as `IMessage`, `IEquatable`, and `IDeepCloneable`, along with its constructors and inherited members."],["The different version numbers listed are referencing different releases of this documentation related to `NluSettings` in the Dialogflow CX v3 API, with the latest release being 2.23.0."]]],[]]