eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint Struct Reference

Weighted precision and recall for a given threshold. More...

Public Member Functions
	EWeightedPrecisionRecallPoint (eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint other)
	Copy constructor.

Public Attributes
float	Threshold
	Threshold of the metric point.
float	Recall
	Weighted recall corresponding to the threshold.
float	Precision
	Weighted precision corresponding to the threshold.
float	FScore
	Weighted F-Score corresponding to the threshold.

Detailed Description

Weighted precision and recall for a given threshold.

License(s): BasicTypes

Constructor & Destructor Documentation

EWeightedPrecisionRecallPoint()

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.EWeightedPrecisionRecallPoint

(

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint

other

)

Copy constructor.

Parameters

other

Weighted metric point to copy

Member Data Documentation

FScore

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.FScore

Weighted F-Score corresponding to the threshold.

The weighted F-Score is the harmonic mean of the weighted recall and weighted precision.

Precision

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Precision

Weighted precision corresponding to the threshold.

The weighted precision is the weighted average of the precision for each label. The precision for a label is the number of correctly predicted element divided by the number of elements predicted for that label (correctly or wrongly).

Recall

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Recall

Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

Threshold

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Threshold

Threshold of the metric point.