Class EqualOpportunityBiasDetector<T>

Namespace

AiDotNet.Interpretability

Assembly

AiDotNet.dll

Detects bias using Equal Opportunity metric (True Positive Rate difference). Requires actual labels to compute TPR for each group. A TPR difference greater than 0.1 (10%) indicates potential bias.

public class EqualOpportunityBiasDetector<T> : BiasDetectorBase<T>, IBiasDetector<T>

Type Parameters

T

The numeric type for calculations.

Inheritance

object

BiasDetectorBase<T>

EqualOpportunityBiasDetector<T>

Implements

IBiasDetector<T>

Inherited Members

BiasDetectorBase<T>._numOps

BiasDetectorBase<T>._isLowerBiasBetter

BiasDetectorBase<T>.DetectBias(Vector<T>, Vector<T>, Vector<T>)

BiasDetectorBase<T>.IsLowerBiasBetter

BiasDetectorBase<T>.IsBetterBiasScore(T, T)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

EqualOpportunityBiasDetector(double)

Initializes a new instance of the EqualOpportunityBiasDetector class.

public EqualOpportunityBiasDetector(double threshold = 0.1)

Parameters

threshold double

The threshold for detecting bias (default is 0.1, representing 10% difference threshold).

Methods

GetBiasDetectionResult(Vector<T>, Vector<T>, Vector<T>?)

Implements bias detection using Equal Opportunity (TPR difference).

protected override BiasDetectionResult<T> GetBiasDetectionResult(Vector<T> predictions, Vector<T> sensitiveFeature, Vector<T>? actualLabels)

Parameters

predictions Vector<T>

sensitiveFeature Vector<T>

actualLabels Vector<T>

Returns

BiasDetectionResult<T>