ClassificationPrimaryMetric Struct

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.1.1

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: ClassificationPrimaryMetric.cs

Source:: ClassificationPrimaryMetric.cs

Important

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Primary metrics for classification tasks.

public readonly struct ClassificationPrimaryMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric>

type ClassificationPrimaryMetric = struct

Public Structure ClassificationPrimaryMetric
Implements IEquatable(Of ClassificationPrimaryMetric)

Inheritance: ValueType
ClassificationPrimaryMetric

Implements: IEquatable<ClassificationPrimaryMetric>

Constructors

ClassificationPrimaryMetric(String)

Initializes a new instance of ClassificationPrimaryMetric.

Properties

Accuracy	Accuracy is the ratio of predictions that exactly match the true class labels.
AUCWeighted	AUC is the Area under the curve. This metric represents arithmetic mean of the score for each class, weighted by the number of true instances in each class.
AveragePrecisionScoreWeighted	The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class.
NormMacroRecall	Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1.
PrecisionScoreWeighted	The arithmetic mean of precision for each class, weighted by number of true instances in each class.

Methods

Equals(ClassificationPrimaryMetric)	Indicates whether the current object is equal to another object of the same type.
ToString()	Returns the fully qualified type name of this instance.

Operators

Equality(ClassificationPrimaryMetric, ClassificationPrimaryMetric)	Determines if two ClassificationPrimaryMetric values are the same.
Implicit(String to ClassificationPrimaryMetric)	Converts a string to a ClassificationPrimaryMetric.
Inequality(ClassificationPrimaryMetric, ClassificationPrimaryMetric)	Determines if two ClassificationPrimaryMetric values are not the same.

Applies to

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