Class ClassificationEvaluationMetrics

Model evaluation metrics for classification problems. Note: For Video Classification this metrics only describe quality of the Video Classification predictions of "segment_classification" type.

Inheritance
System.Object
ClassificationEvaluationMetrics
Inherited Members
System.Object.ToString()
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Google.Cloud.AutoML.V1
Assembly: Google.Cloud.AutoML.V1.dll
Syntax
public sealed class ClassificationEvaluationMetrics : IMessage<ClassificationEvaluationMetrics>, IEquatable<ClassificationEvaluationMetrics>, IDeepCloneable<ClassificationEvaluationMetrics>, IBufferMessage, IMessage

Constructors

ClassificationEvaluationMetrics()

Declaration
public ClassificationEvaluationMetrics()

ClassificationEvaluationMetrics(ClassificationEvaluationMetrics)

Declaration
public ClassificationEvaluationMetrics(ClassificationEvaluationMetrics other)
Parameters
Type Name Description
ClassificationEvaluationMetrics other

Properties

AnnotationSpecId

Output only. The annotation spec ids used for this evaluation.

Declaration
public RepeatedField<string> AnnotationSpecId { get; }
Property Value
Type Description
RepeatedField<System.String>

AuPrc

Output only. The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.

Declaration
public float AuPrc { get; set; }
Property Value
Type Description
System.Single

AuRoc

Output only. The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.

Declaration
public float AuRoc { get; set; }
Property Value
Type Description
System.Single

ConfidenceMetricsEntry

Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.

Declaration
public RepeatedField<ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry> ConfidenceMetricsEntry { get; }
Property Value
Type Description
RepeatedField<ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry>

ConfusionMatrix

Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.

Declaration
public ClassificationEvaluationMetrics.Types.ConfusionMatrix ConfusionMatrix { get; set; }
Property Value
Type Description
ClassificationEvaluationMetrics.Types.ConfusionMatrix

LogLoss

Output only. The Log Loss metric.

Declaration
public float LogLoss { get; set; }
Property Value
Type Description
System.Single