Condividi tramite


ClassificationMultilabelPrimaryMetric Struct

Definition

Primary metrics for classification multilabel tasks.

public readonly struct ClassificationMultilabelPrimaryMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.ClassificationMultilabelPrimaryMetric>
type ClassificationMultilabelPrimaryMetric = struct
Public Structure ClassificationMultilabelPrimaryMetric
Implements IEquatable(Of ClassificationMultilabelPrimaryMetric)
Inheritance
ClassificationMultilabelPrimaryMetric
Implements

Constructors

ClassificationMultilabelPrimaryMetric(String)

Initializes a new instance of ClassificationMultilabelPrimaryMetric.

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.

IOU

Intersection Over Union. Intersection of predictions divided by union of predictions.

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(ClassificationMultilabelPrimaryMetric)

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(ClassificationMultilabelPrimaryMetric, ClassificationMultilabelPrimaryMetric)

Determines if two ClassificationMultilabelPrimaryMetric values are the same.

Implicit(String to ClassificationMultilabelPrimaryMetric)

Converts a string to a ClassificationMultilabelPrimaryMetric.

Inequality(ClassificationMultilabelPrimaryMetric, ClassificationMultilabelPrimaryMetric)

Determines if two ClassificationMultilabelPrimaryMetric values are not the same.

Applies to