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 2025-04-09 UTC."],[[["The content provides documentation for `NluSettings` in the `Google.Cloud.Dialogflow.Cx.V3` namespace, covering versions from 1.0.0 to the latest 2.23.0."],["`NluSettings` is a class related to Natural Language Understanding (NLU) within Dialogflow CX, with methods and properties that inherit from several interfaces, including `IMessage`, `IEquatable`, and `IDeepCloneable`."],["The `NluSettings` class includes constructors and properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which are used to configure the behavior of the NLU model."],["The `ClassificationThreshold` is used to filter false positives, with values ranging from 0.0 to 1.0, and it defaults to 0.3."],["This page displays a list of all the available version numbers of NluSettings and each version links to its own page."]]],[]]
