EDeepLearningDefectDetectionMetrics::GetAreaUnderROCCurve
The area under ROC curve (AUC) of the classifier (see EDeepLearningDefectDetectionMetrics::GetROCPoint). It's value is between
In the context of unsupervised segmentation, the AUC is equal to the probability that good images will have a lower reconstruction error than defective images.
This metrics measure discrimination capacity of a model.
It tells how much the model is capable of distinguishing between classes. The higher the AUC, the better the model is.
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
float GetAreaUnderROCCurve() const
EDeepLearningDefectDetectionMetrics.AreaUnderROCCurve
The area under ROC curve (AUC) of the classifier (see EDeepLearningDefectDetectionMetrics::GetROCPoint). It's value is between
In the context of unsupervised segmentation, the AUC is equal to the probability that good images will have a lower reconstruction error than defective images.
This metrics measure discrimination capacity of a model.
It tells how much the model is capable of distinguishing between classes. The higher the AUC, the better the model is.
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
float AreaUnderROCCurve
{ get; }