eVision.EasyDeepLearning.EConfusionMatrixElement Class Reference

The various elements representing the cases of the 2x2 confusion matrix used in eVision.EasyDeepLearning.EDeepLearningDefectDetectionMetrics. More...

Inheritance diagram for eVision.EasyDeepLearning.EConfusionMatrixElement:

Collaboration diagram for eVision.EasyDeepLearning.EConfusionMatrixElement:

Static Public Attributes
int	CorrectlyClassifiedGoodSample = 0
	A CorrectlyClassifiedGoodSample is a good images classified as good.
int	BadlyClassifiedGoodSample = 1
	A BadlyClassifiedGoodSample is a good images classified as defective.
int	CorrectlyClassifiedDefectiveSample = 2
	A CorrectlyClassifiedDefectiveSample is a defective images classified as defective.
int	BadlyClassifiedDefectiveSample = 3
	A BadlyClassifiedDefectiveSample is a good images classified as good.

Detailed Description

The various elements representing the cases of the 2x2 confusion matrix used in eVision.EasyDeepLearning.EDeepLearningDefectDetectionMetrics.

Member Data Documentation

BadlyClassifiedDefectiveSample

int eVision.EasyDeepLearning.EConfusionMatrixElement.BadlyClassifiedDefectiveSample = 3

static

A BadlyClassifiedDefectiveSample is a good images classified as good.

It is also called a false negative.

BadlyClassifiedGoodSample

int eVision.EasyDeepLearning.EConfusionMatrixElement.BadlyClassifiedGoodSample = 1

static

A BadlyClassifiedGoodSample is a good images classified as defective.

It is also called a false positive.

CorrectlyClassifiedDefectiveSample

int eVision.EasyDeepLearning.EConfusionMatrixElement.CorrectlyClassifiedDefectiveSample = 2

static

A CorrectlyClassifiedDefectiveSample is a defective images classified as defective.

It is also called a true positive.

CorrectlyClassifiedGoodSample

int eVision.EasyDeepLearning.EConfusionMatrixElement.CorrectlyClassifiedGoodSample = 0

static

A CorrectlyClassifiedGoodSample is a good images classified as good.

It is also called a true negative.