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 page provides a comprehensive list of versions for `NluSettings` within the `Google.Cloud.Dialogflow.Cx.V3` namespace, ranging from the latest version 2.23.0 down to version 1.0.0."],["`NluSettings` is a class related to settings for Natural Language Understanding (NLU) within Dialogflow CX, and it implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The `NluSettings` class includes properties such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which allow for customization of NLU behavior and model selection."],["The Class has a public constructor `NluSettings()` and a second constructor that takes in a `NluSettings` object as a parameter, called `NluSettings(NluSettings other)`."],["The `ClassificationThreshold` property allows users to tune the machine learning classification threshold to filter out false positives, with values ranging from 0.0 to 1.0, and a default of 0.3."]]],[]]
