lazyslide.metrics.segmentation.precision

Contents

lazyslide.metrics.segmentation.precision#

precision(stats)#

Compute precision from segmentation statistics.

Precision measures the proportion of predicted positive instances that are actually positive. It answers the question: “Of all the instances we predicted as positive, how many were actually positive?”

Parameters:
statsSegmentationStats

Segmentation statistics containing true positives (tp) and false positives (fp).

Returns:
float

Precision score in the range [0, 1], where 1 is perfect precision. A small epsilon (1e-8) is added to the denominator to avoid division by zero.

Notes

Precision = TP / (TP + FP)