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AnomalyDetectionMetrics Class

  • Reference

Definition

Namespace:
Microsoft.ML.Data
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

Evaluation results for anomaly detection(unsupervised learning algorithm).

public sealed class AnomalyDetectionMetrics
type AnomalyDetectionMetrics = class
Public NotInheritable Class AnomalyDetectionMetrics
Inheritance
Object
AnomalyDetectionMetrics

Properties

AreaUnderRocCurve

Gets the area under the ROC curve.
DetectionRateAtFalsePositiveCount

Detection rate at K false positives. This gives the ratio of correctly identified anomalies given the specified number of false positives. A value closer to 1 indicates a better model.

Applies to