Class ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry

Metrics for a single confidence threshold.

Inheritance
System.Object
ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry
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 ConfidenceMetricsEntry : IMessage<ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry>, IEquatable<ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry>, IDeepCloneable<ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry>, IBufferMessage, IMessage

Constructors

ConfidenceMetricsEntry()

Declaration
public ConfidenceMetricsEntry()

ConfidenceMetricsEntry(ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry)

Declaration
public ConfidenceMetricsEntry(ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry other)
Parameters
Type Name Description
ClassificationEvaluationMetrics.Types.ConfidenceMetricsEntry other

Properties

ConfidenceThreshold

Output only. Metrics are computed with an assumption that the model never returns predictions with score lower than this value.

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

F1Score

Output only. The harmonic mean of recall and precision.

Declaration
public float F1Score { get; set; }
Property Value
Type Description
System.Single

F1ScoreAt1

Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].

Declaration
public float F1ScoreAt1 { get; set; }
Property Value
Type Description
System.Single

FalseNegativeCount

Output only. The number of ground truth labels that are not matched by a model created label.

Declaration
public long FalseNegativeCount { get; set; }
Property Value
Type Description
System.Int64

FalsePositiveCount

Output only. The number of model created labels that do not match a ground truth label.

Declaration
public long FalsePositiveCount { get; set; }
Property Value
Type Description
System.Int64

FalsePositiveRate

Output only. False Positive Rate for the given confidence threshold.

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

FalsePositiveRateAt1

Output only. The False Positive Rate when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Declaration
public float FalsePositiveRateAt1 { get; set; }
Property Value
Type Description
System.Single

PositionThreshold

Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.

Declaration
public int PositionThreshold { get; set; }
Property Value
Type Description
System.Int32

Precision

Output only. Precision for the given confidence threshold.

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

PrecisionAt1

Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Declaration
public float PrecisionAt1 { get; set; }
Property Value
Type Description
System.Single

Recall

Output only. Recall (True Positive Rate) for the given confidence threshold.

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

RecallAt1

Output only. The Recall (True Positive Rate) when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Declaration
public float RecallAt1 { get; set; }
Property Value
Type Description
System.Single

TrueNegativeCount

Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.

Declaration
public long TrueNegativeCount { get; set; }
Property Value
Type Description
System.Int64

TruePositiveCount

Output only. The number of model created labels that match a ground truth label.

Declaration
public long TruePositiveCount { get; set; }
Property Value
Type Description
System.Int64