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 documentation for the `NluSettings` class within the Google Cloud Dialogflow CX v3 API, specifically within the .NET environment."],["The latest version of the API documented is 2.23.0, and the page also lists many prior versions ranging back to 1.0.0 for historical context and reference."],["`NluSettings` allows configuration of settings related to Natural Language Understanding, including parameters like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`."],["The `ClassificationThreshold` property is used to tune the machine learning classification by controlling the score value that determines whether a no-match event is triggered, which helps filter false positives."],["The class implements various interfaces such as `IMessage`, `IEquatable`, and `IDeepCloneable`, and inherits from the base `object` class, with two constructors, one default and another to create an object based on an existing `NluSettings` instance."]]],[]]
