ClassificationPrimaryMetric Struct
Definition
Important
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Primary metrics for classification tasks.
public readonly struct ClassificationPrimaryMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.ClassificationPrimaryMetric>type ClassificationPrimaryMetric = structPublic Structure ClassificationPrimaryMetric
Implements IEquatable(Of ClassificationPrimaryMetric)- Inheritance
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ClassificationPrimaryMetric
- Implements
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. |
