lazyslide.metrics.segmentation.sensitivity

sensitivity(stats)

Compute sensitivity (true positive rate) from segmentation statistics.

Sensitivity measures the proportion of actual positive instances that were correctly identified. This is identical to recall and represents the ability of the model to correctly identify positive cases.

Parameters:

statsSegmentationStats

Segmentation statistics containing true positives (tp) and false negatives (fn).

Returns:

float

Sensitivity score in the range [0, 1], where 1 indicates perfect sensitivity. This function delegates to the recall function for computation.

See also

recall

Equivalent function with the same computation.

Notes

Sensitivity = TP / (TP + FN) Sensitivity is mathematically identical to recall and true positive rate (TPR).