public sealed class Experiment.Types.Result.Types.ConfidenceInterval : IMessage<Experiment.Types.Result.Types.ConfidenceInterval>, IEquatable<Experiment.Types.Result.Types.ConfidenceInterval>, IDeepCloneable<Experiment.Types.Result.Types.ConfidenceInterval>, IBufferMessage, IMessage
Reference documentation and code samples for the Dialogflow v3 API class Experiment.Types.Result.Types.ConfidenceInterval.
A confidence interval is a range of possible values for the experiment
objective you are trying to measure.
[[["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 2025-08-01 UTC."],[[["This webpage provides reference documentation for the `Experiment.Types.Result.Types.ConfidenceInterval` class within the Google Cloud Dialogflow CX V3 API for .NET."],["The `ConfidenceInterval` class is used to represent a range of possible values for an experiment's objective, which is detailed across multiple versions of the Dialogflow CX V3 API, from version 1.0.0 to the latest version 2.23.0."],["The class implements multiple interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, for interacting with the protocol buffers and allowing for deep cloning and equality checks."],["Key properties of the `ConfidenceInterval` class include `ConfidenceLevel`, `LowerBound`, `Ratio`, and `UpperBound`, all of which are of type `double` and are relevant to measure the metric of an experiment."],["The documentation provides both a constructor with no parameters, and one with a `ConfidenceInterval` object as a parameter to easily create an new object from a current one."]]],[]]
